1D HDF Data Extraction

Overview

This notebook demonstrates extracting and analyzing 1D unsteady flow results from HEC-RAS HDF5 output files. You'll learn how to:

• Extract water surface elevation (WSE), velocity, and flow time series from cross sections
• Access 1D-specific result datasets in the HDF5 file structure
• Validate extracted data against expected hydraulic ranges
• Create reviewable outputs for engineering QA/QC

HDF5 File Structure for 1D Unsteady Results

HEC-RAS 6.x stores 1D unsteady results in HDF5 format with the following hierarchy:

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/Results/Unsteady/Output/
├── Output Blocks/
│   └── Base Output/
│       ├── Unsteady Time Series/
│       │   ├── Cross Sections/        # WSE, velocity, flow by XS
│       │   ├── 2D Flow Areas/
│       │   └── Storage Areas/
│       └── Summary Output/
│           └── Cross Sections/        # Max WSE, velocity, etc.

Key datasets: - Water Surface - Elevation in feet (or meters) - Velocity - Average channel velocity in ft/s (or m/s) - Flow - Total flow in cfs (or cms)

Reference Documentation

For detailed information on HEC-RAS HDF5 output structure: - HEC-RAS User's Manual, Chapter 9: Viewing Results - HEC-RAS Hydraulic Reference Manual - Hydraulic computations - HDF Group Documentation - HDF5 file format specification

LLM Forward Engineering Principles

This notebook follows LLM Forward principles for hydraulic model analysis:

1. Multi-Level Verifiability: Results are exported to CSV for traditional engineering review
2. Visual Outputs: Plots generated for each extraction step
3. Audit Trail: All extraction parameters logged and documented
4. Human-in-the-Loop: Clear success criteria for reviewing extracted data

See LLM Forward Engineering for more on the LLM Forward approach.

Overview

This notebook demonstrates extracting and analyzing 1D unsteady flow results from HEC-RAS HDF5 output files. You'll learn how to:

• Extract water surface elevation (WSE), velocity, and flow time series from cross sections
• Access 1D-specific result datasets in the HDF5 file structure
• Validate extracted data against expected hydraulic ranges
• Create reviewable outputs for engineering QA/QC

HDF5 File Structure for 1D Unsteady Results

HEC-RAS 6.x stores 1D unsteady results in HDF5 format with the following hierarchy:

Text Only

/Results/Unsteady/Output/
├── Output Blocks/
│   └── Base Output/
│       ├── Unsteady Time Series/
│       │   ├── Cross Sections/        # WSE, velocity, flow by XS
│       │   ├── 2D Flow Areas/
│       │   └── Storage Areas/
│       └── Summary Output/
│           └── Cross Sections/        # Max WSE, velocity, etc.

Key datasets: - Water Surface - Elevation in feet (or meters) - Velocity - Average channel velocity in ft/s (or m/s) - Flow - Total flow in cfs (or cms)

Reference Documentation

For detailed information on HEC-RAS HDF5 output structure: - HEC-RAS User's Manual, Chapter 9: Viewing Results - HEC-RAS Hydraulic Reference Manual - Hydraulic computations - HDF Group Documentation - HDF5 file format specification

LLM Forward Engineering Principles

This notebook follows LLM Forward principles for hydraulic model analysis:

1. Multi-Level Verifiability: Results are exported to CSV for traditional engineering review
2. Visual Outputs: Plots generated for each extraction step
3. Audit Trail: All extraction parameters logged and documented
4. Human-in-the-Loop: Clear success criteria for reviewing extracted data

See LLM Forward Engineering for more on the LLM Forward approach.

HEC-RAS 1D HDF Data Analysis Notebook

This notebook demonstrates how to manipulate and analyze HEC-RAS 2D HDF data using the ras-commander library. It leverages the HdfBase, HdfUtils, HdfStruc, HdfMesh, HdfXsec, HdfBndry, HdfPlan, HdfResultsPlan, HdfResultsMesh, and HdfResultsXsec classes to streamline data extraction, processing, and visualization.

Package Installation and Environment Setup

Uncomment and run package installation commands if needed

Python

# Install ras-commander from pip (uncomment to install if needed)
#!pip install --upgrade ras-commander
# This installs ras-commander and all dependencies

# Set to false to disable plot generation for llm-friendly outputs
generate_plots = True

Python

# =============================================================================
# DEVELOPMENT MODE TOGGLE
# =============================================================================
USE_LOCAL_SOURCE = False  # <-- TOGGLE THIS

if USE_LOCAL_SOURCE:
    import sys
    from pathlib import Path
    local_path = str(Path.cwd().parent)
    if local_path not in sys.path:
        sys.path.insert(0, local_path)
    print(f"LOCAL SOURCE MODE: Loading from {local_path}/ras_commander")
else:
    print("PIP PACKAGE MODE: Loading installed ras-commander")

# Import ras-commander
from ras_commander import HdfBase, HdfBndry, HdfPlan, HdfResultsPlan, HdfResultsXsec, HdfStruc, HdfUtils, HdfXsec, RasCmdr, RasExamples, init_ras_project, ras  # Import all ras-commander modules
from pathlib import Path  # Explicitly import Path for notebook use

# Additional imports
import h5py
import numpy as np
import pandas as pd
import requests
from tqdm import tqdm
import scipy
import xarray as xr
import geopandas as gpd
import matplotlib.pyplot as plt
from shapely.geometry import LineString  # For cross section plotting
from IPython import display
import psutil  # For getting system CPU info

# Verify which version loaded
import ras_commander
print(f"Loaded: {ras_commander.__file__}")

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PIP PACKAGE MODE: Loading installed ras-commander
Loaded: c:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\ras_commander\__init__.py

Parameters

Configure these values to customize the notebook for your project.

Python

# =============================================================================
# PARAMETERS - Edit these to customize the notebook
# =============================================================================
from pathlib import Path

# Project Configuration
PROJECT_NAME = "Balde Eagle Creek"           # Example project to extract
RAS_VERSION = "7.0"               # HEC-RAS version (6.3, 6.5, 6.6, etc.)

# HDF Analysis Settings
PLAN = "01"                       # Plan number (for HDF file path)
TIME_INDEX = -1                   # Time step index (-1 = last)
PROFILE = "Max"                   # Profile name for steady analysis

Use Example Project or Load Your Own Project

Python

# Extract the example project using static method
project_path = RasExamples.extract_project(PROJECT_NAME, suffix="10")
print(f"Extracted project to: {project_path}")

# Verify the path exists
print(f"Project exists: {project_path.exists()}")

# Initialize the RAS project
import logging
init_ras_project(project_path, RAS_VERSION)
logging.info(f"Balde Eagle project initialized with folder: {ras.project_folder}")

# Define the plan number to execute
plan_number = "01"

# Execute Plan 01 using RasCmdr with skip_existing=True
# This will skip execution if HDF results already exist
RasCmdr.compute_plan(
    plan_number,
    ras_object=ras,
    skip_existing=True,
    num_cores=2
)

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2026-01-12 00:27:54 - ras_commander.RasExamples - INFO - Found zip file: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\Example_Projects_6_6.zip
2026-01-12 00:27:54 - ras_commander.RasExamples - INFO - Loading project data from CSV...
2026-01-12 00:27:54 - ras_commander.RasExamples - INFO - Loaded 68 projects from CSV.
2026-01-12 00:27:54 - ras_commander.RasExamples - INFO - ----- RasExamples Extracting Project -----
2026-01-12 00:27:54 - ras_commander.RasExamples - INFO - Extracting project 'Balde Eagle Creek' as 'Balde Eagle Creek_10'
2026-01-12 00:27:54 - ras_commander.RasExamples - INFO - Folder 'Balde Eagle Creek_10' already exists. Deleting existing folder...
2026-01-12 00:27:54 - ras_commander.RasExamples - INFO - Existing folder 'Balde Eagle Creek_10' has been deleted.
2026-01-12 00:27:54 - ras_commander.RasExamples - INFO - Successfully extracted project 'Balde Eagle Creek' to C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10
2026-01-12 00:27:54 - ras_commander.RasMap - INFO - Successfully parsed RASMapper file: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.rasmap
2026-01-12 00:27:54 - ras_commander.RasPrj - INFO - Updated results_df with 2 plan(s)
2026-01-12 00:27:54 - root - INFO - Balde Eagle project initialized with folder: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10
2026-01-12 00:27:54 - ras_commander.RasCmdr - INFO - Using ras_object with project folder: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10
2026-01-12 00:27:54 - ras_commander.RasUtils - INFO - Using provided plan file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01
2026-01-12 00:27:54 - ras_commander.RasUtils - INFO - Successfully updated file: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01
2026-01-12 00:27:54 - ras_commander.RasCmdr - INFO - Set number of cores to 2 for plan: 01
2026-01-12 00:27:54 - ras_commander.RasCmdr - INFO - Running HEC-RAS from the Command Line:
2026-01-12 00:27:54 - ras_commander.RasCmdr - INFO - Running command: "C:\Program Files (x86)\HEC\HEC-RAS\6.6\Ras.exe" -c "C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.prj" "C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01"


Extracted project to: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10
Project exists: True


2026-01-12 00:29:23 - ras_commander.RasCmdr - INFO - HEC-RAS execution completed for plan: 01
2026-01-12 00:29:23 - ras_commander.RasCmdr - INFO - Total run time for plan 01: 88.48 seconds
2026-01-12 00:29:23 - ras_commander.hdf.HdfResultsPlan - INFO - Using existing Path object HDF file: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfResultsPlan - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfResultsPlan - INFO - Reading computation messages from HDF: BaldEagle.p01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfResultsPlan - INFO - Successfully extracted 1694 characters from HDF
2026-01-12 00:29:23 - ras_commander.hdf.HdfResultsPlan - INFO - Using existing Path object HDF file: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfResultsPlan - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfResultsPlan - INFO - Extracting Plan Information from: BaldEagle.p01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfResultsPlan - INFO - Plan Name: Unsteady with Bridges and Dam
2026-01-12 00:29:23 - ras_commander.hdf.HdfResultsPlan - INFO - Simulation Duration (hours): 149.0
2026-01-12 00:29:23 - ras_commander.hdf.HdfResultsPlan - INFO - Using existing Path object HDF file: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfResultsPlan - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf
c:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\ras_commander\RasPrj.py:1514: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  self.results_df = pd.concat([self.results_df, new_results], ignore_index=True)
2026-01-12 00:29:23 - ras_commander.RasPrj - INFO - Updated results_df with 1 plan(s)





True

Python

# Display results summary from results_df
# This shows execution status, timing, and any errors/warnings for each plan
ras.results_df[['plan_number', 'plan_title', 'completed', 'has_errors', 'has_warnings', 'runtime_complete_process_hours']]

	plan_number	plan_title	completed	has_errors	has_warnings	runtime_complete_process_hours
0	02	Steady Flow Run	False	False	False	NaN
1	01	Unsteady with Bridges and Dam	True	False	False	0.024075

OPTIONAL: Use your own project instead

your_project_path = Path(r"D:\yourprojectpath")

init_ras_project(your_project_path, "6.6") plan_number = "01" # Plan number to use for this notebook

If you use this code cell, don't run the previous cell or change to markdown

NOTE: Ensure the HDF Results file was generated by HEC-RAS Version 6.x or above

---

Explore Project Dataframes using 'ras' Object

Python

print("Plan DataFrame for the project:")
ras.plan_df

Text Only

Plan DataFrame for the project:

	plan_number	unsteady_number	geometry_number	Plan Title	Program Version	Short Identifier	Simulation Date	Computation Interval	Mapping Interval	Run HTab	...	UNET D2 Cores	PS Cores	DSS File	Friction Slope Method	HDF_Results_Path	Geom File	Geom Path	Flow File	Flow Path	full_path
0	01	02	01	Unsteady with Bridges and Dam	5.00	UnsteadyFlow	18FEB1999,0000,24FEB1999,0500	2MIN	1HOUR	1	...	2.0	None	dss	2	C:\Users\billk_clb\anaconda3\envs\rascmdr_pipt...	01	C:\Users\billk_clb\anaconda3\envs\rascmdr_pipt...	02	C:\Users\billk_clb\anaconda3\envs\rascmdr_pipt...	C:\Users\billk_clb\anaconda3\envs\rascmdr_pipt...
1	02	None	01	Steady Flow Run	NaN	SteadyRun	02/18/1999,0000,02/24/1999,0500	2MIN	NaN	1	...	NaN	None	dss	1	None	01	C:\Users\billk_clb\anaconda3\envs\rascmdr_pipt...	02	C:\Users\billk_clb\anaconda3\envs\rascmdr_pipt...	C:\Users\billk_clb\anaconda3\envs\rascmdr_pipt...

2 rows × 26 columns

Python

print("\nGeometry DataFrame for the project:")
ras.geom_df

Text Only

Geometry DataFrame for the project:

	geom_file	geom_number	full_path	hdf_path
0	g01	01	C:\Users\billk_clb\anaconda3\envs\rascmdr_pipt...	C:\Users\billk_clb\anaconda3\envs\rascmdr_pipt...

Python

print("\nUnsteady DataFrame for the project:")
ras.unsteady_df

Text Only

Unsteady DataFrame for the project:

	unsteady_number	full_path	Flow Title	Program Version	Use Restart	Precipitation Mode	Wind Mode	Met BC=Precipitation|Mode	Met BC=Evapotranspiration|Mode	Met BC=Precipitation|Expanded View	Met BC=Precipitation|Constant Units	Met BC=Precipitation|Gridded Source
0	02	C:\Users\billk_clb\anaconda3\envs\rascmdr_pipt...	Flow Hydrograph 2	6.30	0	Disable	No Wind Forces	None	None	0	mm/hr	DSS

Python

print("\nBoundary Conditions DataFrame for the project:")
ras.boundaries_df 

Text Only

Boundary Conditions DataFrame for the project:

	unsteady_number	boundary_condition_number	river_reach_name	river_station	storage_area_name	pump_station_name	bc_type	hydrograph_type	Interval	DSS Path	...	Flow Title	Program Version	Use Restart	Precipitation Mode	Wind Mode	Met BC=Precipitation|Mode	Met BC=Evapotranspiration|Mode	Met BC=Precipitation|Expanded View	Met BC=Precipitation|Constant Units	Met BC=Precipitation|Gridded Source
0	02	1	Bald Eagle	Loc Hav	138154.4		Flow Hydrograph	Flow Hydrograph	1HOUR		...	Flow Hydrograph 2	6.30	0	Disable	No Wind Forces	None	None	0	mm/hr	DSS
1	02	2	Bald Eagle	Loc Hav	81500		Gate Opening	None	NaN	NaN	...	Flow Hydrograph 2	6.30	0	Disable	No Wind Forces	None	None	0	mm/hr	DSS
2	02	3	Bald Eagle	Loc Hav	659.942		Rating Curve	None	NaN		...	Flow Hydrograph 2	6.30	0	Disable	No Wind Forces	None	None	0	mm/hr	DSS

3 rows × 28 columns

Python

# Get HDF Results Entries (only present when results are present)
ras.get_hdf_entries()

	plan_number	unsteady_number	geometry_number	Plan Title	Program Version	Short Identifier	Simulation Date	Computation Interval	Mapping Interval	Run HTab	...	UNET D2 Cores	PS Cores	DSS File	Friction Slope Method	HDF_Results_Path	Geom File	Geom Path	Flow File	Flow Path	full_path
0	01	02	01	Unsteady with Bridges and Dam	5.00	UnsteadyFlow	18FEB1999,0000,24FEB1999,0500	2MIN	1HOUR	1	...	2.0	None	dss	2	C:\Users\billk_clb\anaconda3\envs\rascmdr_pipt...	01	C:\Users\billk_clb\anaconda3\envs\rascmdr_pipt...	02	C:\Users\billk_clb\anaconda3\envs\rascmdr_pipt...	C:\Users\billk_clb\anaconda3\envs\rascmdr_pipt...

1 rows × 26 columns

Find Paths for Results and Geometry HDF's

Python

# Get the plan HDF path for the plan_number defined above
plan_hdf_path = ras.plan_df.loc[ras.plan_df['plan_number'] == plan_number, 'HDF_Results_Path'].values[0]

Python

plan_hdf_path

Text Only

'C:\\Users\\billk_clb\\anaconda3\\envs\\rascmdr_piptest\\Lib\\site-packages\\examples\\example_projects\\Balde Eagle Creek_10\\BaldEagle.p01.hdf'

Python

# Get the geometry HDF path
geom_hdf_path = ras.plan_df.loc[ras.plan_df['plan_number'] == plan_number, 'Geom Path'].values[0] + '.hdf'

Python

geom_hdf_path

Text Only

'C:\\Users\\billk_clb\\anaconda3\\envs\\rascmdr_piptest\\Lib\\site-packages\\examples\\example_projects\\Balde Eagle Creek_10\\BaldEagle.g01.hdf'

Python

print(f"\nPlan HDF path for Plan {plan_number}: {plan_hdf_path}")
print(f"Geometry HDF path for Plan {plan_number}: {geom_hdf_path}")

Text Only

Plan HDF path for Plan 01: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf
Geometry HDF path for Plan 01: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf

RAS-Commander's Decorators Allow for Flexible Function Calling

You can call most of the functions in the HDF* Classes using any of the following: 1. Plan/Geometry Number (with or without leading zeros): - "01", "1" - Plan/geometry number as string - 1 - Plan/geometry number as integer - "p01", "p1" - Plan number with 'p' prefix 2. Direct File Paths: - pathlib.Path object pointing to HDF file - String path to HDF file

1. h5py.File Objects:
2. Already opened HDF file object

The @standardize_input decorator handles all these input types consistently: - Validates the input exists and is accessible - Converts to proper pathlib.Path object - Handles RAS object references - Provides logging and error handling

This flexibility makes it easier to work with HDF files in different contexts while maintaining consistent behavior across the codebase, and helps prevent strict typing from introducing unnecessary friction for LLM Coding.

---

1D HDF Data Extraction Examples

Python

# Extract runtime and compute time data as dataframe
print("\nExtracting runtime and compute time data")
runtime_df = HdfResultsPlan.get_runtime_data(hdf_path=plan_number)

Text Only

2026-01-12 00:29:23 - ras_commander.hdf.HdfResultsPlan - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfResultsPlan - INFO - Extracting Plan Information from: BaldEagle.p01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfResultsPlan - INFO - Plan Name: Unsteady with Bridges and Dam
2026-01-12 00:29:23 - ras_commander.hdf.HdfResultsPlan - INFO - Simulation Duration (hours): 149.0



Extracting runtime and compute time data

Python

runtime_df

	Plan Name	File Name	Simulation Start Time	Simulation End Time	Simulation Duration (s)	Simulation Time (hr)	Completing Geometry (hr)	Preprocessing Geometry (hr)	Completing Event Conditions (hr)	Unsteady Flow Computations (hr)	Complete Process (hr)	Unsteady Flow Speed (hr/hr)	Complete Process Speed (hr/hr)
0	Unsteady with Bridges and Dam	BaldEagle.p01.hdf	1999-02-18	1999-02-24 05:00:00	536400.0	149.0	N/A	0.020551	N/A	0.000755	0.024075	197278.411181	6188.921323

Python

# Use HdfUtils for extracting projection
# This returns a string with the projection as EPSG code (e.g. "EPSG:6556"), or None if not found.
print("\nExtracting Projection from HDF")
projection = HdfBase.get_projection(hdf_path=geom_hdf_path)  
# This projection is returned as EPSG to improve compatibility with geopandas

Text Only

2026-01-12 00:29:23 - ras_commander.hdf.HdfBase - INFO - Using HDF file from direct string path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfBase - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfBase - CRITICAL - No valid projection found. Checked:
1. HDF file projection attribute: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
 was checked and no projection attribute found2. No RASMapper projection file found
To fix this:
1. Open RASMapper
2. Click Map > Set Projection
3. Select an appropriate projection file or coordinate system
4. Save the RASMapper project



Extracting Projection from HDF

Python

projection
### The example project we are using does not have a projection  

Python

# Use HdfPlan to Get Geometry Information (Base Geometry Attributes) as dataframes
print("\nExtracting Base Geometry Attributes")
geom_attrs_df = HdfPlan.get_geometry_information("01")  
# NOTE: Here we call the function using the plan number instead of the hdf path to demonstrate that the decorator will work with the plan number

Text Only

2026-01-12 00:29:23 - ras_commander.RasPlan - INFO - Found geometry path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01
2026-01-12 00:29:23 - ras_commander.hdf.HdfPlan - INFO - Found geometry HDF file for plan 1: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfPlan - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfPlan - INFO - Getting geometry attributes from C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfPlan - INFO - Checking for Geometry group in C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfPlan - INFO - Getting root level geometry attributes
2026-01-12 00:29:23 - ras_commander.hdf.HdfPlan - INFO - Successfully extracted 5 root level geometry attributes



Extracting Base Geometry Attributes

Python

geom_attrs_df

	Value
Complete Geometry	True
Extents	[1966632.2513, 2066299.3787, 287473.1387, 3540...
Geometry Time	2026-01-12 00:27:54
Title	Existing Conditions - GIS Data
Version	1.0.20 (20Sep2024)

Python

# Get geometry structures attributes as dataframe
print("\nGetting geometry structures attributes")
geom_structures_attrs_df = HdfStruc.get_geom_structures_attrs(geom_hdf_path)

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2026-01-12 00:29:23 - ras_commander.hdf.HdfStruc - INFO - Using HDF file from direct string path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfStruc - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf



Getting geometry structures attributes

Python

geom_structures_attrs_df

	Bridge/Culvert Count	Connection Count	Has Bridge Opening (2D)	Inline Structure Count	Lateral Structure Count
0	10	0	0	1	0

Python

# Instead of hdf_input, USE plan_hdf_path or geom_hdf_path, or the plan number as "8" or "08" 
# Input decorators allow for flexible inputs 

Python

# Get structures as geodataframe
structures_gdf = HdfStruc.get_structures(geom_hdf_path)

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2026-01-12 00:29:23 - ras_commander.hdf.HdfStruc - INFO - Using HDF file from direct string path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfStruc - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfBase - INFO - Using existing Path object HDF file: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfBase - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfBase - CRITICAL - No valid projection found. Checked:
1. HDF file projection attribute: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
 was checked and no projection attribute found2. No RASMapper projection file found
To fix this:
1. Open RASMapper
2. Click Map > Set Projection
3. Select an appropriate projection file or coordinate system
4. Save the RASMapper project
2026-01-12 00:29:23 - ras_commander.hdf.HdfStruc - INFO - Successfully extracted structures GeoDataFrame.
2026-01-12 00:29:23 - ras_commander.hdf.HdfStruc - INFO - Successfully extracted structures GeoDataFrame with attributes.

Python

structures_gdf

	Type	Mode	River	Reach	RS	Connection	Groupname	US Type	US River	US Reach	...	US XS Mann (Count)	US BR Mann (Index)	US BR Mann (Count)	DS XS Mann (Index)	DS XS Mann (Count)	DS BR Mann (Index)	DS BR Mann (Count)	RC (Index)	RC (Count)	Profile_Data
0	Bridge		Bald Eagle	Loc Hav	103245		Bald Eagle, Loc Hav (103245)	XS	Bald Eagle	Loc Hav	...	0	0	0	0	0	0	0	0	0	[]
1	Inline		Bald Eagle	Loc Hav	81500		Bald Eagle, Loc Hav (81500)	XS	Bald Eagle	Loc Hav	...	0	0	0	0	0	0	0	0	0	[{'Station': 0.0, 'Elevation': 683.0}, {'Stati...
2	Bridge		Bald Eagle	Loc Hav	75960		Bald Eagle, Loc Hav (75960)	XS	Bald Eagle	Loc Hav	...	0	0	0	0	0	0	0	0	0	[]
3	Bridge		Bald Eagle	Loc Hav	58780		Bald Eagle, Loc Hav (58780)	XS	Bald Eagle	Loc Hav	...	0	0	0	0	0	0	0	0	0	[]
4	Bridge		Bald Eagle	Loc Hav	36713		Bald Eagle, Loc Hav (36713)	XS	Bald Eagle	Loc Hav	...	0	0	0	0	0	0	0	0	0	[]
5	Bridge		Bald Eagle	Loc Hav	23828		Bald Eagle, Loc Hav (23828)	XS	Bald Eagle	Loc Hav	...	0	0	0	0	0	0	0	0	0	[]
6	Bridge		Bald Eagle	Loc Hav	21241		Bald Eagle, Loc Hav (21241)	XS	Bald Eagle	Loc Hav	...	0	0	0	0	0	0	0	0	0	[]
7	Bridge		Bald Eagle	Loc Hav	15100		Bald Eagle, Loc Hav (15100)	XS	Bald Eagle	Loc Hav	...	0	0	0	0	0	0	0	0	0	[]
8	Bridge		Bald Eagle	Loc Hav	11985		Bald Eagle, Loc Hav (11985)	XS	Bald Eagle	Loc Hav	...	0	0	0	0	0	0	0	0	0	[]
9	Bridge		Bald Eagle	Loc Hav	2920		Bald Eagle, Loc Hav (2920)	XS	Bald Eagle	Loc Hav	...	0	0	0	0	0	0	0	0	0	[]
10	Bridge		Bald Eagle	Loc Hav	2436		Bald Eagle, Loc Hav (2436)	XS	Bald Eagle	Loc Hav	...	0	0	0	0	0	0	0	0	0	[]

11 rows × 162 columns

Python

# Get reference lines as geodataframe
ref_lines_gdf = HdfBndry.get_reference_lines(geom_hdf_path)

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2026-01-12 00:29:23 - ras_commander.hdf.HdfBndry - INFO - Using HDF file from direct string path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfBndry - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf

Python

ref_lines_gdf

Python

# Get reference points as geodataframe
ref_points_gdf = HdfBndry.get_reference_points(geom_hdf_path)

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2026-01-12 00:29:23 - ras_commander.hdf.HdfBndry - INFO - Using HDF file from direct string path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:23 - ras_commander.hdf.HdfBndry - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf

Python

ref_points_gdf

Python

# Get cross sections as geodataframe
cross_sections_gdf = HdfXsec.get_cross_sections(geom_hdf_path)

Python

cross_sections_gdf

	geometry	station_elevation	mannings_n	n_lob	n_channel	n_rob	ineffective_blocks	River	Reach	RS	...	HP Count	HP Start Elev	HP Vert Incr	HP LOB Slices	HP Chan Slices	HP ROB Slices	Ineff Block Mode	Obstr Block Mode	Default Centerline	Last Edited
0	LINESTRING (1968668.17 290166.79, 1969067.87 2...	[[0.0, 660.41], [5.0, 660.61], [40.0, 659.85],...	{'Station': [0.0, 190.0, 375.0], 'Mann n': [0....	0.060	0.04	0.1	[]	Bald Eagle	Loc Hav	138154.4	...	49	656.799988	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
1	LINESTRING (1968627.02 290584.12, 1969009.09 2...	[[0.0, 664.28], [50.0, 661.73], [55.0, 661.54]...	{'Station': [0.0, 535.0, 672.5599975585938], '...	0.060	0.04	0.1	[]	Bald Eagle	Loc Hav	137690.8	...	65	654.229980	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
2	LINESTRING (1968585.88 290854.5, 1968868.02 29...	[[0.0, 662.72], [20.0, 665.5], [25.0, 666.48],...	{'Station': [0.0, 580.0, 717.239990234375], 'M...	0.060	0.04	0.1	[]	Bald Eagle	Loc Hav	137327.0	...	66	653.900024	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
3	LINESTRING (1968521.22 291524.58, 1968903.29 2...	[[0.0, 663.72], [40.0, 669.65], [45.0, 670.46]...	{'Station': [0.0, 530.010009765625, 700.460021...	0.060	0.04	0.1	[]	Bald Eagle	Loc Hav	136564.9	...	38	653.919983	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
4	LINESTRING (1968468.32 291918.4, 1968715.19 29...	[[0.0, 657.88], [10.0, 657.64], [20.0, 657.23]...	{'Station': [0.0, 539.8900146484375, 714.84002...	0.060	0.04	0.1	[]	Bald Eagle	Loc Hav	136202.3	...	39	653.969971	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
173	LINESTRING (2061688.97 352001.74, 2063053.69 3...	[[90.0, 556.52], [100.5, 557.67], [107.5, 557....	{'Station': [90.0, 923.010009765625, 1364.0100...	0.050	0.04	0.1	[{'Left Sta': 90.0, 'Right Sta': 995.0, 'Eleva...	Bald Eagle	Loc Hav	2501.017	...	51	532.210022	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
174	LINESTRING (2061670.21 352090.84, 2063025.55 3...	[[0.0, 551.6], [91.0, 551.38], [129.51, 551.74...	{'Station': [0.0, 934.5, 1358.0], 'Mann n': [0...	0.050	0.04	0.1	[{'Left Sta': 0.0, 'Right Sta': 995.0, 'Elevat...	Bald Eagle	Loc Hav	2371.827	...	52	531.530029	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
175	LINESTRING (2063077.13 352972.51, 2063714.94 3...	[[0.0, 548.4], [130.0, 547.37], [215.0, 546.24...	{'Station': [0.0, 750.0, 1060.010009765625], '...	0.050	0.04	0.1	[]	Bald Eagle	Loc Hav	1692.633	...	58	528.669983	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
176	LINESTRING (2063956.46 353190.59, 2064617.71 3...	[[0.0, 547.93], [75.0, 547.5], [145.01, 547.76...	{'Station': [0.0, 350.3800048828125, 650.0], '...	0.075	0.04	0.1	[]	Bald Eagle	Loc Hav	1212.855	...	49	529.250000	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
177	LINESTRING (2064505.16 353331.28, 2065091.38 3...	[[0.0, 539.78], [5.0, 539.74], [40.0, 539.28],...	{'Station': [0.0, 216.1300048828125, 595.0], '...	0.075	0.04	0.1	[]	Bald Eagle	Loc Hav	659.942	...	49	529.650024	1.0	5	5	5	0	0	0	18Sep2000 09:10:52

178 rows × 34 columns

Python

# Show all columns for the first cross section (transpose for readability)
import pandas as pd
with pd.option_context('display.max_rows', None, 'display.max_columns', None):
    print(cross_sections_gdf.head(1).T)

Text Only

                                                                    0
geometry            LINESTRING (1968668.17 290166.79, 1969067.87 2...
station_elevation   [[0.0, 660.41], [5.0, 660.61], [40.0, 659.85],...
mannings_n          {'Station': [0.0, 190.0, 375.0], 'Mann n': [0....
n_lob                                                            0.06
n_channel                                                        0.04
n_rob                                                             0.1
ineffective_blocks                                                 []
River                                                      Bald Eagle
Reach                                                         Loc Hav
RS                                                           138154.4
Name                                                                 
Description                                                          
Len Left                                                   358.429993
Len Channel                                                463.640015
Len Right                                                  517.640015
Left Bank                                                       190.0
Right Bank                                                      375.0
Friction Mode                                            Basic Mann n
Contr                                                             0.1
Expan                                                             0.3
Left Levee Sta                                                    NaN
Left Levee Elev                                                   NaN
Right Levee Sta                                                   NaN
Right Levee Elev                                                  NaN
HP Count                                                           49
HP Start Elev                                              656.799988
HP Vert Incr                                                      1.0
HP LOB Slices                                                       5
HP Chan Slices                                                      5
HP ROB Slices                                                       5
Ineff Block Mode                                                    0
Obstr Block Mode                                                    0
Default Centerline                                                  0
Last Edited                                        18Sep2000 09:10:52

Python

# List all columns in cross_sections_gdf

print("Columns in cross_sections_gdf:")
for col in cross_sections_gdf.columns:
    print(col)

Text Only

Columns in cross_sections_gdf:
geometry
station_elevation
mannings_n
n_lob
n_channel
n_rob
ineffective_blocks
River
Reach
RS
Name
Description
Len Left
Len Channel
Len Right
Left Bank
Right Bank
Friction Mode
Contr
Expan
Left Levee Sta
Left Levee Elev
Right Levee Sta
Right Levee Elev
HP Count
HP Start Elev
HP Vert Incr
HP LOB Slices
HP Chan Slices
HP ROB Slices
Ineff Block Mode
Obstr Block Mode
Default Centerline
Last Edited

Python

# Showing only cross sections with ineffective flow areas

# Filter rows where ineffective_blocks is not empty
ineffective_xs_gdf = cross_sections_gdf[cross_sections_gdf['ineffective_blocks'].apply(len) > 0]
print("\nCross Sections with Ineffective Flow Areas:")

Text Only

Cross Sections with Ineffective Flow Areas:

Python

ineffective_xs_gdf

	geometry	station_elevation	mannings_n	n_lob	n_channel	n_rob	ineffective_blocks	River	Reach	RS	...	HP Count	HP Start Elev	HP Vert Incr	HP LOB Slices	HP Chan Slices	HP ROB Slices	Ineff Block Mode	Obstr Block Mode	Default Centerline	Last Edited
81	LINESTRING (2009787.46 325935.78, 2010709.8 32...	[[0.0, 603.79], [2.0, 603.17], [4.0, 602.65], ...	{'Station': [0.0, 1434.0, 1680.0], 'Mann n': [...	0.055	0.040	0.055	[{'Left Sta': 0.0, 'Right Sta': 1400.0, 'Eleva...	Bald Eagle	Loc Hav	76002.96	...	24	579.500000	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
82	LINESTRING (2009989.76 325990.64, 2010493.79 3...	[[0.0, 611.14], [6.0, 611.11], [8.0, 611.06], ...	{'Station': [0.0, 1302.0, 1554.0], 'Mann n': [...	0.055	0.040	0.055	[{'Left Sta': 0.0, 'Right Sta': 1280.0, 'Eleva...	Bald Eagle	Loc Hav	75917.82	...	32	579.179993	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
100	LINESTRING (2022341.9 333784.25, 2023231.41 33...	[[0.0, 600.93], [5.0, 601.88], [35.0, 601.2], ...	{'Station': [0.0, 1390.0, 1600.0], 'Mann n': [...	0.110	0.040	0.120	[{'Left Sta': 0.0, 'Right Sta': 1340.0, 'Eleva...	Bald Eagle	Loc Hav	58836.23	...	63	563.330017	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
101	LINESTRING (2022468.97 333892.63, 2023291.21 3...	[[0.0, 593.67], [5.0, 596.7], [9.99, 599.47], ...	{'Station': [0.0, 1290.0, 1540.0], 'Mann n': [...	0.140	0.040	0.140	[{'Left Sta': 0.0, 'Right Sta': 1240.0, 'Eleva...	Bald Eagle	Loc Hav	58708.54	...	60	563.119995	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
130	LINESTRING (2036144.8 344604.68, 2036560.51 34...	[[0.0, 590.5], [5.0, 590.06], [10.0, 589.0], [...	{'Station': [0.0, 810.0, 1035.010009765625], '...	0.070	0.045	0.070	[{'Left Sta': 0.0, 'Right Sta': 803.0, 'Elevat...	Bald Eagle	Loc Hav	36769.88	...	40	550.500000	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
131	LINESTRING (2036129.12 344828.22, 2036917.4 34...	[[0.0, 568.29], [5.0, 568.16], [9.99, 567.99],...	{'Station': [0.0, 849.989990234375, 1070.0], '...	0.070	0.045	0.070	[{'Left Sta': 0.0, 'Right Sta': 853.0, 'Elevat...	Bald Eagle	Loc Hav	36663.76	...	23	550.200012	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
144	LINESTRING (2044859.02 348471.56, 2044733.53 3...	[[0.0, 577.16], [14.99, 577.18], [24.99, 577.3...	{'Station': [0.0, 314.989990234375, 878.030029...	0.075	0.040	0.055	[{'Left Sta': 0.0, 'Right Sta': 625.0, 'Elevat...	Bald Eagle	Loc Hav	23872.06	...	33	544.729980	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
145	LINESTRING (2044913.93 348471.56, 2044811.96 3...	[[0.0, 580.11], [5.0, 580.06], [55.0, 579.05],...	{'Station': [0.0, 634.989990234375, 895.0], 'M...	0.100	0.040	0.055	[{'Left Sta': 0.0, 'Right Sta': 634.9899902343...	Bald Eagle	Loc Hav	23783.65	...	38	542.570007	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
149	LINESTRING (2047357.2 346922.46, 2046863.06 34...	[[0.0, 572.53], [50.0, 572.02], [55.0, 572.0],...	{'Station': [0.0, 510.0, 825.0], 'Mann n': [0....	0.100	0.040	0.090	[{'Left Sta': 0.0, 'Right Sta': 510.0, 'Elevat...	Bald Eagle	Loc Hav	21283.34	...	37	538.590027	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
150	LINESTRING (2047388.58 346844.02, 2046902.28 3...	[[0.0, 563.73], [5.0, 564.17], [10.0, 563.98],...	{'Station': [0.0, 520.010009765625, 815.0], 'M...	0.060	0.040	0.095	[{'Left Sta': 0.0, 'Right Sta': 520.0100097656...	Bald Eagle	Loc Hav	21199.93	...	38	538.229980	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
156	LINESTRING (2052757.51 348942.18, 2052028.06 3...	[[0.0, 554.07], [5.0, 554.08], [7.5, 554.02], ...	{'Station': [0.0, 440.0, 820.0], 'Mann n': [0....	0.065	0.040	0.090	[{'Left Sta': 0.0, 'Right Sta': 200.0, 'Elevat...	Bald Eagle	Loc Hav	15407.88	...	53	531.799988	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
157	LINESTRING (2053149.69 349099.05, 2052710.45 3...	[[0.0, 564.15], [2.5, 563.83], [22.5, 561.94],...	{'Station': [0.0, 340.0, 720.0], 'Mann n': [0....	0.065	0.040	0.090	[{'Left Sta': 0.0, 'Right Sta': 200.0, 'Elevat...	Bald Eagle	Loc Hav	14814.34	...	60	531.799988	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
159	LINESTRING (2054094.84 350248.13, 2055294.91 3...	[[0.0, 577.16], [40.0, 579.5], [45.0, 579.9], ...	{'Station': [0.0, 1210.0, 1694.0], 'Mann n': [...	0.050	0.035	0.120	[{'Left Sta': 0.0, 'Right Sta': 1160.0, 'Eleva...	Bald Eagle	Loc Hav	12035.22	...	96	535.000000	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
160	LINESTRING (2054283.09 350389.32, 2055114.51 3...	[[0.0, 574.48], [40.0, 574.08], [45.0, 574.31]...	{'Station': [0.0, 1210.0, 1694.0], 'Mann n': [...	0.050	0.035	0.080	[{'Left Sta': 0.0, 'Right Sta': 1160.0, 'Eleva...	Bald Eagle	Loc Hav	11865.80	...	97	535.000000	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
173	LINESTRING (2061688.97 352001.74, 2063053.69 3...	[[90.0, 556.52], [100.5, 557.67], [107.5, 557....	{'Station': [90.0, 923.010009765625, 1364.0100...	0.050	0.040	0.100	[{'Left Sta': 90.0, 'Right Sta': 995.0, 'Eleva...	Bald Eagle	Loc Hav	2501.017	...	51	532.210022	1.0	5	5	5	0	0	0	18Sep2000 09:10:52
174	LINESTRING (2061670.21 352090.84, 2063025.55 3...	[[0.0, 551.6], [91.0, 551.38], [129.51, 551.74...	{'Station': [0.0, 934.5, 1358.0], 'Mann n': [0...	0.050	0.040	0.100	[{'Left Sta': 0.0, 'Right Sta': 995.0, 'Elevat...	Bald Eagle	Loc Hav	2371.827	...	52	531.530029	1.0	5	5	5	0	0	0	18Sep2000 09:10:52

16 rows × 34 columns

Python

# Print first 5 cross sections data
print("\nCross Section Information:")

for idx, row in cross_sections_gdf.head(5).iterrows():
    print(f"\nCross Section {idx + 1}:")
    print(f"River: {row['River']}")
    print(f"Reach: {row['Reach']}")
    print("\nGeometry:")
    print(row['geometry'])
    print("\nStation-Elevation Points:")

    # Print header
    print("     #      Station   Elevation        #      Station   Elevation        #      Station   Elevation        #      Station   Elevation        #      Station   Elevation")
    print("-" * 150)

    # Calculate number of rows needed
    points = row['station_elevation']
    num_rows = (len(points) + 4) // 5  # Round up division

    # Print points in 5 columns
    for i in range(num_rows):
        line = ""
        for j in range(5):
            point_idx = i + j * num_rows
            if point_idx < len(points):
                station, elevation = points[point_idx]
                line += f"{point_idx+1:6d} {station:10.2f} {elevation:10.2f}    "
        print(line)
    print("-" * 150)

Text Only

Cross Section Information:

Cross Section 1:
River: Bald Eagle
Reach: Loc Hav

Geometry:
LINESTRING (1968668.17 290166.79, 1969067.87 289778.85)

Station-Elevation Points:
     #      Station   Elevation        #      Station   Elevation        #      Station   Elevation        #      Station   Elevation        #      Station   Elevation
------------------------------------------------------------------------------------------------------------------------------------------------------
     1       0.00     660.41         9     190.00     660.21        17     330.00     660.95        25     410.00     671.32        33     480.00     695.50    
     2       5.00     660.61        10     195.00     658.98        18     340.00     659.56        26     415.00     672.91        34     485.00     696.55    
     3      40.00     659.85        11     197.96     657.39        19     345.00     658.84        27     430.00     678.12        35     514.99     701.46    
     4      55.00     659.39        12     200.00     656.30        20     350.00     658.28        28     440.00     683.19        36     520.00     702.14    
     5      60.00     659.21        13     305.00     657.15        21     361.39     662.03        29     445.00     685.60        37     525.00     702.64    
     6      90.00     658.45        14     310.00     657.68        22     375.00     666.52        30     455.00     688.70        38     530.00     703.31    
     7      95.00     658.48        15     320.00     660.58        23     380.00     667.51        31     460.00     689.95        39     535.00     703.91    
     8     130.00     659.60        16     324.99     661.39        24     385.00     668.12        32     475.00     694.17        40     557.01     706.27    
------------------------------------------------------------------------------------------------------------------------------------------------------

Cross Section 2:
River: Bald Eagle
Reach: Loc Hav

Geometry:
LINESTRING (1968627.02 290584.12, 1969009.09 290343.13, 1969273.59 290290.23, 1969408.78 290290.23)

Station-Elevation Points:
     #      Station   Elevation        #      Station   Elevation        #      Station   Elevation        #      Station   Elevation        #      Station   Elevation
------------------------------------------------------------------------------------------------------------------------------------------------------
     1       0.00     664.28         9     295.00     659.39        17     460.01     660.06        25     565.00     654.38        33     735.00     694.24    
     2      50.00     661.73        10     305.00     659.09        18     465.00     660.27        26     570.00     653.73        34     765.00     700.36    
     3      55.00     661.54        11     310.00     659.11        19     510.00     659.64        27     650.00     655.99        35     770.00     701.23    
     4     160.00     658.65        12     330.01     659.32        20     520.00     659.96        28     655.00     656.16        36     785.00     703.53    
     5     165.00     658.65        13     335.00     659.33        21     525.01     660.29        29     660.00     658.06        37     790.00     704.42    
     6     180.01     658.79        14     395.00     659.03        22     530.00     660.72        30     672.56     664.59        38     856.65     719.10    
     7     250.00     658.98        15     450.00     659.45        23     535.00     660.79        31     705.00     681.46    
     8     290.01     659.45        16     451.72     659.56        24     539.95     659.73        32     721.46     689.01    
------------------------------------------------------------------------------------------------------------------------------------------------------

Cross Section 3:
River: Bald Eagle
Reach: Loc Hav

Geometry:
LINESTRING (1968585.88 290854.5, 1968868.02 290736.95, 1969085.5 290672.29, 1969391.15 290672.29)

Station-Elevation Points:
     #      Station   Elevation        #      Station   Elevation        #      Station   Elevation        #      Station   Elevation        #      Station   Elevation
------------------------------------------------------------------------------------------------------------------------------------------------------
     1       0.00     662.72         9     305.65     659.33        17     515.00     659.58        25     584.22     658.51        33     745.00     681.14    
     2      20.00     665.50        10     385.00     659.68        18     520.00     659.38        26     585.00     658.36        34     750.00     684.43    
     3      25.00     666.48        11     390.00     659.67        19     524.99     658.80        27     590.00     656.91        35     770.00     697.71    
     4      59.99     664.56        12     420.00     659.08        20     530.00     658.50        28     600.00     653.66        36     795.00     711.50    
     5      65.00     664.33        13     455.00     659.67        21     532.54     658.45        29     605.00     653.40        37     800.00     714.13    
     6     250.00     659.04        14     460.00     659.72        22     550.00     658.12        30     705.00     656.01        38     815.00     716.88    
     7     254.99     658.93        15     465.00     659.69        23     555.00     658.23        31     710.00     659.27        39     820.00     717.76    
     8     295.00     659.31        16     485.00     659.78        24     580.00     659.30        32     717.24     663.79        40     838.19     719.88    
------------------------------------------------------------------------------------------------------------------------------------------------------

Cross Section 4:
River: Bald Eagle
Reach: Loc Hav

Geometry:
LINESTRING (1968521.22 291524.58, 1968903.29 291424.66, 1969291.23 291430.54)

Station-Elevation Points:
     #      Station   Elevation        #      Station   Elevation        #      Station   Elevation        #      Station   Elevation        #      Station   Elevation
------------------------------------------------------------------------------------------------------------------------------------------------------
     1       0.00     663.72         8     215.01     666.57        15     465.00     658.84        22     680.00     657.03        29     745.00     687.30    
     2      40.00     669.65         9     265.00     663.38        16     500.00     659.32        23     685.00     659.22        30     755.00     688.84    
     3      45.00     670.46        10     270.00     662.78        17     530.01     659.56        24     700.00     667.37        31     760.00     689.50    
     4      50.01     671.71        11     340.00     659.16        18     534.80     657.07        25     700.46     667.61        32     765.00     690.11    
     5      55.00     671.42        12     390.00     658.75        19     535.01     656.96        26     715.00     675.36        33     775.00     691.22    
     6      60.00     671.18        13     394.92     658.68        20     540.00     653.42        27     720.00     677.43        34     780.00     691.60    
     7     210.00     666.85        14     420.00     658.46        21     675.00     655.83        28     735.00     683.26        35     782.90     691.71    
------------------------------------------------------------------------------------------------------------------------------------------------------

Cross Section 5:
River: Bald Eagle
Reach: Loc Hav

Geometry:
LINESTRING (1968468.32 291918.4, 1968715.19 291753.82, 1969255.96 291800.84)

Station-Elevation Points:
     #      Station   Elevation        #      Station   Elevation        #      Station   Elevation        #      Station   Elevation        #      Station   Elevation
------------------------------------------------------------------------------------------------------------------------------------------------------
     1       0.00     657.88        15     165.00     667.24        29     360.00     655.61        43     525.00     656.70        57     714.84     663.86    
     2      10.00     657.64        16     200.00     656.24        30     365.00     656.53        44     530.00     656.78        58     765.00     684.05    
     3      20.00     657.23        17     205.00     655.79        31     390.00     657.64        45     535.00     656.89        59     770.00     685.79    
     4      30.00     658.54        18     240.00     657.03        32     395.00     657.76        46     539.89     657.03        60     775.00     686.34    
     5      35.00     659.00        19     245.00     657.12        33     410.00     657.39        47     540.01     657.03        61     780.00     686.92    
     6      50.00     659.66        20     255.00     657.01        34     415.01     657.42        48     545.00     656.56        62     810.00     690.98    
     7      90.00     657.38        21     280.00     656.52        35     430.00     658.08        49     550.00     654.30        63     825.00     692.86    
     8      95.00     657.17        22     285.01     656.50        36     435.00     658.10        50     555.00     653.47        64     830.01     692.34    
     9     125.00     665.26        23     296.70     656.66        37     445.00     657.95        51     670.00     654.48        65     835.00     691.78    
    10     130.00     666.37        24     330.01     657.03        38     480.00     657.92        52     690.00     654.75        66     839.51     691.35    
    11     140.00     668.18        25     335.01     656.85        39     485.00     657.80        53     695.00     655.55    
    12     145.00     669.24        26     340.00     656.28        40     505.00     656.92        54     700.00     657.67    
    13     150.00     671.49        27     350.00     655.05        41     510.00     656.77        55     705.01     659.87    
    14     155.00     671.14        28     355.00     654.61        42     515.00     656.69        56     710.00     661.91    
------------------------------------------------------------------------------------------------------------------------------------------------------

Python

# Plot cross sections on map with matplotlib

if generate_plots:
    # Create figure and axis
    fig, ax = plt.subplots(figsize=(15,10))

    # Plot cross sections
    cross_sections_gdf.plot(ax=ax, color='red', linewidth=1, label='Cross Sections')

    # Add river name and reach labels
    #for idx, row in cross_sections_gdf.iterrows():
    #    # Get midpoint of cross section line for label placement
    #    midpoint = row.geometry.centroid
    #    label = f"{row['River']}\n{row['Reach']}\nRS: {row['RS']}"
    #    ax.annotate(label, (midpoint.x, midpoint.y), 
    #               xytext=(5, 5), textcoords='offset points',
    #               fontsize=8, bbox=dict(facecolor='white', alpha=0.7))

    # Customize plot
    ax.set_title('Cross Sections Location Map')
    ax.grid(True)
    ax.legend()

    # Equal aspect ratio to preserve shape
    ax.set_aspect('equal')

    plt.tight_layout()
    plt.show()

Python

# Plot cross sections with Manning's n values colored by value

if generate_plots:
    # Create figure
    fig, ax1 = plt.subplots(figsize=(20,10))

    # Create colormap
    cmap = plt.cm.viridis
    norm = plt.Normalize(vmin=0.02, vmax=0.08)  # Typical Manning's n range

    # Plot cross sections colored by Manning's n
    for idx, row in cross_sections_gdf.iterrows():
        # Extract Manning's n values and stations
        mannings = row['mannings_n']
        n_values = mannings['Mann n']
        stations = mannings['Station']

        # Get the full linestring coordinates
        line_coords = list(row.geometry.coords)

        # Calculate total length of the cross section
        total_length = row.geometry.length

        # For each Manning's n segment
        for i in range(len(n_values)-1):
            # Calculate the start and end proportions along the line
            start_prop = stations[i] / stations[-1]
            end_prop = stations[i+1] / stations[-1]

            # Get the start and end points for this segment
            start_idx = int(start_prop * (len(line_coords)-1))
            end_idx = int(end_prop * (len(line_coords)-1))

            # Extract the segment coordinates
            segment_coords = line_coords[start_idx:end_idx+1]

            if len(segment_coords) >= 2:
                # Create a line segment
                segment = LineString(segment_coords)

                # Get color from colormap for this n value
                color = cmap(norm(n_values[i]))

                # Plot the segment
                ax1.plot(*segment.xy, color=color, linewidth=2)

    # Add colorbar
    sm = plt.cm.ScalarMappable(cmap=cmap, norm=norm)
    sm.set_array([])
    plt.colorbar(sm, ax=ax1, label="Manning's n Value")

    ax1.set_title("Cross Sections Colored by Manning's n Values")
    ax1.grid(True)
    ax1.set_aspect('equal')

    plt.tight_layout()
    plt.show()

Python

# Plot cross sections with ineffective flow areas

if generate_plots:
    # Create figure
    fig, ax2 = plt.subplots(figsize=(20,10))

    # Plot all cross sections first
    cross_sections_gdf.plot(ax=ax2, color='lightgray', linewidth=1, label='Cross Sections')

    # Plot ineffective flow areas with thicker lines
    ineffective_sections = cross_sections_gdf[cross_sections_gdf['ineffective_blocks'].apply(lambda x: len(x) > 0)]
    ineffective_sections.plot(ax=ax2, color='red', linewidth=3, label='Ineffective Flow Areas')

    # Add ineffective flow area labels with offset to lower right
    for idx, row in cross_sections_gdf.iterrows():
        # Get midpoint of cross section line
        midpoint = row.geometry.centroid

        # Extract ineffective flow blocks
        ineff_blocks = row['ineffective_blocks']

        if ineff_blocks:  # Only label if there are ineffective blocks
            label_parts = []
            # Add RS to first line of label
            label_parts.append(f"RS: {row['RS']}")
            for block in ineff_blocks:
                label_parts.append(
                    f"L:{block['Left Sta']:.0f}-R:{block['Right Sta']:.0f}\n"
                    f"Elev: {block['Elevation']:.2f}\n"
                    f"Permanent: {block['Permanent']}"
                )

            label = '\n'.join(label_parts)

            ax2.annotate(label, (midpoint.x, midpoint.y),
                        xytext=(15, -15),  # Offset to lower right
                        textcoords='offset points',
                        fontsize=8, 
                        bbox=dict(facecolor='white', alpha=0.7),
                        arrowprops=dict(arrowstyle='->'),
                        horizontalalignment='left',
                        verticalalignment='top')

    ax2.set_title('Cross Sections with Ineffective Flow Areas')
    ax2.grid(True)
    ax2.legend()
    ax2.set_aspect('equal')

    plt.tight_layout()
    plt.show()

Python

# Plot cross section elevation for cross section 42
if generate_plots:
    # Get cross sections data
    cross_sections_gdf = HdfXsec.get_cross_sections(geom_hdf_path)

    if not cross_sections_gdf.empty:
        # Get station-elevation data for cross section 42
        station_elevation = cross_sections_gdf.iloc[42]['station_elevation']

        # Convert list of lists to numpy arrays for plotting
        stations = np.array([point[0] for point in station_elevation])
        elevations = np.array([point[1] for point in station_elevation])

        # Create figure and axis
        fig, ax = plt.subplots(figsize=(12,8))

        # Plot cross section
        ax.plot(stations, elevations, 'b-', linewidth=2)

        # Add labels and title
        river = cross_sections_gdf.iloc[42]['River']
        reach = cross_sections_gdf.iloc[42]['Reach'] 
        rs = cross_sections_gdf.iloc[42]['RS']

        # Show bank stations as dots
        left_bank_station = cross_sections_gdf.iloc[42]['Left Bank']
        right_bank_station = cross_sections_gdf.iloc[42]['Right Bank']

        # Get elevations at bank stations
        left_bank_elev = elevations[np.searchsorted(stations, left_bank_station)]
        right_bank_elev = elevations[np.searchsorted(stations, right_bank_station)]

        # Plot bank stations with dots
        ax.plot(left_bank_station, left_bank_elev, 'ro')
        ax.plot(right_bank_station, right_bank_elev, 'ro')

        # Add bank station labels with station and elevation
        ax.annotate(f'Left Bank\nStation: {left_bank_station:.1f}\nElevation: {left_bank_elev:.1f}',
                   (left_bank_station, left_bank_elev),
                   xytext=(-50, 30),
                   textcoords='offset points',
                   bbox=dict(facecolor='white', alpha=0.8),
                   arrowprops=dict(arrowstyle='->'))

        ax.annotate(f'Right Bank\nStation: {right_bank_station:.1f}\nElevation: {right_bank_elev:.1f}',
                   (right_bank_station, right_bank_elev), 
                   xytext=(50, 30),
                   textcoords='offset points',
                   bbox=dict(facecolor='white', alpha=0.8),
                   arrowprops=dict(arrowstyle='->'))

        ax.set_title(f'Cross Section Profile\nRiver: {river}, Reach: {reach}, RS: {rs}')
        ax.set_xlabel('Station (ft)')
        ax.set_ylabel('Elevation (ft)')

        # Add grid
        ax.grid(True)

        plt.tight_layout()
        plt.show()

Python

# Get river centerlines as geodataframe
centerlines_gdf = HdfXsec.get_river_centerlines(geom_hdf_path)

Text Only

2026-01-12 00:29:25 - ras_commander.hdf.HdfXsec - INFO - Using HDF file from direct string path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfXsec - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfBase - INFO - Using existing Path object HDF file: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfBase - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfBase - INFO - Using existing Path object HDF file: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfBase - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfBase - CRITICAL - No valid projection found. Checked:
1. HDF file projection attribute: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
 was checked and no projection attribute found2. No RASMapper projection file found
To fix this:
1. Open RASMapper
2. Click Map > Set Projection
3. Select an appropriate projection file or coordinate system
4. Save the RASMapper project
2026-01-12 00:29:25 - ras_commander.hdf.HdfXsec - INFO - Extracted 1 river centerlines

Python

print("\nRiver Centerlines:")
centerlines_gdf

Text Only

River Centerlines:

	River Name	Reach Name	US Type	US Name	DS Type	DS Name	Junction to US XS	DS XS to Junction	geometry	length
0	Bald Eagle	Loc Hav	External		External		NaN	NaN	LINESTRING (1967609.38 288126.34, 1967754.63 2...	140451.729879

Python

# Plot river centerlines with labels
if generate_plots:
    # Create figure and axis
    fig, ax = plt.subplots(figsize=(15, 10))

    # Plot centerlines
    centerlines_gdf.plot(ax=ax, color='blue', linewidth=2, label='River Centerline')

    # Add river/reach labels
    for idx, row in centerlines_gdf.iterrows():
        # Get midpoint of the line for label placement
        midpoint = row.geometry.interpolate(0.5, normalized=True)

        # Create label text combining river and reach names
        label = f"{row['River Name']}\n{row['Reach Name']}"

        # Add text annotation
        ax.annotate(label, 
                    xy=(midpoint.x, midpoint.y),
                    xytext=(10, 10), # Offset text slightly
                    textcoords='offset points',
                    fontsize=10,
                    bbox=dict(facecolor='white', edgecolor='none', alpha=0.7))

    # Add labels and title
    ax.set_title('River Centerlines', fontsize=14)
    ax.set_xlabel('Easting', fontsize=12)
    ax.set_ylabel('Northing', fontsize=12)

    # Add legend
    ax.legend(fontsize=12)

    # Add grid
    ax.grid(True)

    # Adjust layout
    plt.tight_layout()

    # Show plot
    plt.show()

Python

# Get river edge lines as geodataframe
edge_lines_gdf = HdfXsec.get_river_edge_lines(geom_hdf_path)

Text Only

2026-01-12 00:29:25 - ras_commander.hdf.HdfXsec - INFO - Using HDF file from direct string path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfXsec - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfBase - INFO - Using existing Path object HDF file: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfBase - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfBase - INFO - Using existing Path object HDF file: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfBase - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfBase - CRITICAL - No valid projection found. Checked:
1. HDF file projection attribute: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
 was checked and no projection attribute found2. No RASMapper projection file found
To fix this:
1. Open RASMapper
2. Click Map > Set Projection
3. Select an appropriate projection file or coordinate system
4. Save the RASMapper project

Python

print("\nRiver Edge Lines:")
edge_lines_gdf

Text Only

River Edge Lines:

	edge_id	bank_side	geometry	length
0	NaN	NaN	LINESTRING (1968668.17 290166.79, 1968673.632 ...	141615.154108
1	NaN	NaN	LINESTRING (1969067.87 289778.85, 1969194.669 ...	130396.337697

Python

# Get bank lines as geodataframe
bank_lines_gdf = HdfXsec.get_river_bank_lines(geom_hdf_path)

Text Only

2026-01-12 00:29:25 - ras_commander.hdf.HdfXsec - INFO - Using HDF file from direct string path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfXsec - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfBase - INFO - Using existing Path object HDF file: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfBase - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfBase - INFO - Using existing Path object HDF file: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfBase - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfBase - CRITICAL - No valid projection found. Checked:
1. HDF file projection attribute: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.g01.hdf
 was checked and no projection attribute found2. No RASMapper projection file found
To fix this:
1. Open RASMapper
2. Click Map > Set Projection
3. Select an appropriate projection file or coordinate system
4. Save the RASMapper project

Python

print("\nRiver Bank Lines:")
bank_lines_gdf

Text Only

River Bank Lines:

	bank_id	bank_side	geometry	length
0	0	Left	LINESTRING (1968804.51 290034.461, 1968930.093...	139546.829503
1	1	Right	LINESTRING (1968937.263 289905.614, 1969101.06...	139349.187666

Python

# Create figure and axis

if generate_plots:
    fig, ax = plt.subplots(figsize=(15, 10))

    # Plot river edge lines
    edge_lines_gdf.plot(ax=ax, color='blue', linewidth=2, label='River Edge Lines')

    # Plot centerlines for reference
    centerlines_gdf.plot(ax=ax, color='red', linewidth=2, linestyle='--', label='River Centerline')

    # Plot river bank lines
    bank_lines_gdf.plot(ax=ax, color='green', linewidth=2, label='River Bank Lines')

    # Add title and labels
    ax.set_title('River Edge Lines, Centerline, and Bank Lines', fontsize=14)
    ax.set_xlabel('Easting', fontsize=12)
    ax.set_ylabel('Northing', fontsize=12)

    # Add legend
    ax.legend(fontsize=12)

    # Add grid
    ax.grid(True)

    # Adjust layout
    plt.tight_layout()

    # Show plot
    plt.show()

Python

# Extract 1D Structures Geodataframe



# Display basic information about the structures
print("\nStructures Summary:")
print(f"Number of structures found: {len(structures_gdf)}")
structures_gdf

# Display first few rows of key attributes
print("\nStructure Details:")
display_cols = ['Structure ID', 'Structure Type', 'River Name', 'Reach Name', 'Station']
display_cols = [col for col in display_cols if col in structures_gdf.columns]
if display_cols:
    print(structures_gdf[display_cols].head())


if generate_plots:

    # Create visualization
    fig, ax = plt.subplots(figsize=(15, 10))

    # Plot river centerlines
    if not centerlines_gdf.empty:
        centerlines_gdf.plot(ax=ax, color='blue', linewidth=2, label='River Centerlines')

    # Plot cross sections
    if not cross_sections_gdf.empty:
        cross_sections_gdf.plot(ax=ax, color='green', linewidth=1, label='Cross Sections')

    # Plot structures
    if not structures_gdf.empty:
        structures_gdf.plot(ax=ax, color='red', marker='s', markersize=100, label='Structures')

    # Add title and labels
    ax.set_title('HEC-RAS Model Components', fontsize=14)
    ax.set_xlabel('Easting', fontsize=12)
    ax.set_ylabel('Northing', fontsize=12)

    # Add legend
    ax.legend(fontsize=12)

    # Add grid
    ax.grid(True)

    # Adjust layout
    plt.tight_layout()

    # Show plot
    plt.show()

# Print summary of cross sections
print("\nCross Sections Summary:")
print(f"Number of cross sections found: {len(cross_sections_gdf)}")
if not cross_sections_gdf.empty:
    print("\nCross Section Details:")
    xs_display_cols = ['River', 'Reach', 'Station']
    xs_display_cols = [col for col in xs_display_cols if col in cross_sections_gdf.columns]
    if xs_display_cols:
        print(cross_sections_gdf[xs_display_cols].head())

Text Only

Structures Summary:
Number of structures found: 11

Structure Details:
   Structure ID
0             1
1             2
2             3
3             4
4             5

Text Only

Cross Sections Summary:
Number of cross sections found: 178

Cross Section Details:
        River    Reach
0  Bald Eagle  Loc Hav
1  Bald Eagle  Loc Hav
2  Bald Eagle  Loc Hav
3  Bald Eagle  Loc Hav
4  Bald Eagle  Loc Hav

Python

# Extract Plan Parameters
print("\nExample 12: Extracting Plan Parameters and Volume Accounting Data")

plan_parameters_df = HdfPlan.get_plan_parameters(hdf_path=plan_hdf_path)

Text Only

2026-01-12 00:29:25 - ras_commander.hdf.HdfPlan - INFO - Using HDF file from direct string path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfPlan - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf



Example 12: Extracting Plan Parameters and Volume Accounting Data

Python

print("\nPlan Parameters DataFrame:")
plan_parameters_df

Text Only

Plan Parameters DataFrame:

	Plan	Parameter	Value
0	01	1D Cores	2
1	01	1D Flow Tolerance	NaN
2	01	1D Maximum Iterations	20
3	01	1D Maximum Iterations Without Improvement	0
4	01	1D Maximum Water Surface Error To Abort	100.0
5	01	1D Methodology	Finite Difference
6	01	1D Storage Area Elevation Tolerance	0.1
7	01	1D Theta	1.0
8	01	1D Theta Warmup	1.0
9	01	1D Water Surface Elevation Tolerance	0.01
10	01	1D-2D Gate Flow Submergence Decay Exponent	1.0
11	01	1D-2D IS Stablity Factor	1.0
12	01	1D-2D LS Stablity Factor	2.0
13	01	1D-2D Maximum Number of Time Slices	20
14	01	1D-2D Minimum Time Step for Slicing(hours)	0.0
15	01	1D-2D Number of Warmup Steps	0
16	01	1D-2D Warmup Time Step (hours)	0.0
17	01	1D-2D Weir Flow Submergence Decay Exponent	1.0
18	01	2D Coriolis	False
19	01	2D Only	False
20	01	Friction Slope Average Method (BR)	Average Conveyance
21	01	Friction Slope Average Method (XS)	Average Friction Slope
22	01	Gravity	32.174049
23	01	HDF Chunk Size	1.0
24	01	HDF Compression	1
25	01	HDF Fixed Rows	1
26	01	HDF Flush Buffer	False
27	01	HDF Spatial Parts	1
28	01	HDF Use Max Rows	0
29	01	HDF Write Time Slices	False
30	01	HDF Write Warmup	False
31	01	Pardiso Solver	False

Python

# Extract volume accounting data
volume_accounting_df = HdfResultsPlan.get_volume_accounting(hdf_path=plan_hdf_path)

Text Only

2026-01-12 00:29:25 - ras_commander.hdf.HdfResultsPlan - INFO - Using HDF file from direct string path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfResultsPlan - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf

Python

print("\nVolume Accounting DataFrame:")
volume_accounting_df

Text Only

Volume Accounting DataFrame:

	Error	Error Percent	Total Boundary Flux of Water In	Total Boundary Flux of Water Out	Vol Accounting in	Volume Ending	Volume Starting
0	-29.546846	0.014071	200682.453125	112574.828125	Acre Feet	97384.882812	9306.797852

Python

# Get simulation start time
start_time = HdfPlan.get_plan_start_time(plan_hdf_path)
print(f"Simulation start time: {start_time}")

Text Only

2026-01-12 00:29:25 - ras_commander.hdf.HdfPlan - INFO - Using HDF file from direct string path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfPlan - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf


Simulation start time: 1999-02-18 00:00:00

Python

# Get plan end time
end_time = HdfPlan.get_plan_end_time(plan_hdf_path)
print(f"Simulation end time: {end_time}")

Text Only

2026-01-12 00:29:25 - ras_commander.hdf.HdfPlan - INFO - Using HDF file from direct string path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfPlan - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf


Simulation end time: 1999-02-24 05:00:00

Python

# Get cross section results timeseries
xsec_results_xr = HdfResultsXsec.get_xsec_timeseries(plan_hdf_path)
print("\nCross Section Results Shape:", xsec_results_xr['Water_Surface'].shape)

Text Only

2026-01-12 00:29:25 - ras_commander.hdf.HdfResultsXsec - INFO - Using HDF file from direct string path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf
2026-01-12 00:29:25 - ras_commander.hdf.HdfResultsXsec - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf



Cross Section Results Shape: (150, 178)

Python

xsec_results_xr

<xarray.Dataset> Size: 587kB
Dimensions:                   (time: 150, cross_section: 178)
Coordinates:
  * time                      (time) datetime64[ns] 1kB 1999-02-18 ... 1999-0...
  * cross_section             (cross_section) <U42 30kB 'Bald Eagle       Loc...
    River                     (cross_section) <U10 7kB 'Bald Eagle' ... 'Bald...
    Reach                     (cross_section) <U7 5kB 'Loc Hav' ... 'Loc Hav'
    Station                   (cross_section) <U8 6kB '138154.4' ... '659.942'
    Name                      (cross_section) <U1 712B '' '' '' '' ... '' '' ''
    Maximum_Water_Surface     (cross_section) float32 712B 672.8 672.8 ... 561.4
    Maximum_Flow              (cross_section) float32 712B 5e+04 ... 2.543e+04
    Maximum_Channel_Velocity  (cross_section) float32 712B 11.81 8.031 ... 2.028
    Maximum_Velocity_Total    (cross_section) float32 712B 9.371 5.379 ... 1.632
    Maximum_Flow_Lateral      (cross_section) float32 712B 0.0 0.0 ... 0.0 0.0
Data variables:
    Water_Surface             (time, cross_section) float32 107kB 660.7 ... 5...
    Velocity_Total            (time, cross_section) float32 107kB 0.0 ... 1.227
    Velocity_Channel          (time, cross_section) float32 107kB 0.0 ... 1.286
    Flow_Lateral              (time, cross_section) float32 107kB 0.0 ... 0.0
    Flow                      (time, cross_section) float32 107kB 2e+03 ... 2...
Attributes:
    description:  Cross-section results extracted from HEC-RAS HDF file
    source_file:  C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-...

xarray.Dataset

• Dimensions:
  • time: 150
  • cross_section: 178
• Coordinates: (11)
  • time
    (time)
    datetime64[ns]
    1999-02-18 ... 1999-02-24T05:00:00

    array(['1999-02-18T00:00:00.000000000', '1999-02-18T01:00:00.000000000',
           '1999-02-18T02:00:00.000000000', '1999-02-18T03:00:00.000000000',
           '1999-02-18T04:00:00.000000000', '1999-02-18T05:00:00.000000000',
           '1999-02-18T06:00:00.000000000', '1999-02-18T07:00:00.000000000',
           '1999-02-18T08:00:00.000000000', '1999-02-18T09:00:00.000000000',
           '1999-02-18T10:00:00.000000000', '1999-02-18T11:00:00.000000000',
           '1999-02-18T12:00:00.000000000', '1999-02-18T13:00:00.000000000',
           '1999-02-18T14:00:00.000000000', '1999-02-18T15:00:00.000000000',
           '1999-02-18T16:00:00.000000000', '1999-02-18T17:00:00.000000000',
           '1999-02-18T18:00:00.000000000', '1999-02-18T19:00:00.000000000',
           '1999-02-18T20:00:00.000000000', '1999-02-18T21:00:00.000000000',
           '1999-02-18T22:00:00.000000000', '1999-02-18T23:00:00.000000000',
           '1999-02-19T00:00:00.000000000', '1999-02-19T01:00:00.000000000',
           '1999-02-19T02:00:00.000000000', '1999-02-19T03:00:00.000000000',
           '1999-02-19T04:00:00.000000000', '1999-02-19T05:00:00.000000000',
           '1999-02-19T06:00:00.000000000', '1999-02-19T07:00:00.000000000',
           '1999-02-19T08:00:00.000000000', '1999-02-19T09:00:00.000000000',
           '1999-02-19T10:00:00.000000000', '1999-02-19T11:00:00.000000000',
           '1999-02-19T12:00:00.000000000', '1999-02-19T13:00:00.000000000',
           '1999-02-19T14:00:00.000000000', '1999-02-19T15:00:00.000000000',
           '1999-02-19T16:00:00.000000000', '1999-02-19T17:00:00.000000000',
           '1999-02-19T18:00:00.000000000', '1999-02-19T19:00:00.000000000',
           '1999-02-19T20:00:00.000000000', '1999-02-19T21:00:00.000000000',
           '1999-02-19T22:00:00.000000000', '1999-02-19T23:00:00.000000000',
           '1999-02-20T00:00:00.000000000', '1999-02-20T01:00:00.000000000',
           '1999-02-20T02:00:00.000000000', '1999-02-20T03:00:00.000000000',
           '1999-02-20T04:00:00.000000000', '1999-02-20T05:00:00.000000000',
           '1999-02-20T06:00:00.000000000', '1999-02-20T07:00:00.000000000',
           '1999-02-20T08:00:00.000000000', '1999-02-20T09:00:00.000000000',
           '1999-02-20T10:00:00.000000000', '1999-02-20T11:00:00.000000000',
           '1999-02-20T12:00:00.000000000', '1999-02-20T13:00:00.000000000',
           '1999-02-20T14:00:00.000000000', '1999-02-20T15:00:00.000000000',
           '1999-02-20T16:00:00.000000000', '1999-02-20T17:00:00.000000000',
           '1999-02-20T18:00:00.000000000', '1999-02-20T19:00:00.000000000',
           '1999-02-20T20:00:00.000000000', '1999-02-20T21:00:00.000000000',
           '1999-02-20T22:00:00.000000000', '1999-02-20T23:00:00.000000000',
           '1999-02-21T00:00:00.000000000', '1999-02-21T01:00:00.000000000',
           '1999-02-21T02:00:00.000000000', '1999-02-21T03:00:00.000000000',
           '1999-02-21T04:00:00.000000000', '1999-02-21T05:00:00.000000000',
           '1999-02-21T06:00:00.000000000', '1999-02-21T07:00:00.000000000',
           '1999-02-21T08:00:00.000000000', '1999-02-21T09:00:00.000000000',
           '1999-02-21T10:00:00.000000000', '1999-02-21T11:00:00.000000000',
           '1999-02-21T12:00:00.000000000', '1999-02-21T13:00:00.000000000',
           '1999-02-21T14:00:00.000000000', '1999-02-21T15:00:00.000000000',
           '1999-02-21T16:00:00.000000000', '1999-02-21T17:00:00.000000000',
           '1999-02-21T18:00:00.000000000', '1999-02-21T19:00:00.000000000',
           '1999-02-21T20:00:00.000000000', '1999-02-21T21:00:00.000000000',
           '1999-02-21T22:00:00.000000000', '1999-02-21T23:00:00.000000000',
           '1999-02-22T00:00:00.000000000', '1999-02-22T01:00:00.000000000',
           '1999-02-22T02:00:00.000000000', '1999-02-22T03:00:00.000000000',
           '1999-02-22T04:00:00.000000000', '1999-02-22T05:00:00.000000000',
           '1999-02-22T06:00:00.000000000', '1999-02-22T07:00:00.000000000',
           '1999-02-22T08:00:00.000000000', '1999-02-22T09:00:00.000000000',
           '1999-02-22T10:00:00.000000000', '1999-02-22T11:00:00.000000000',
           '1999-02-22T12:00:00.000000000', '1999-02-22T13:00:00.000000000',
           '1999-02-22T14:00:00.000000000', '1999-02-22T15:00:00.000000000',
           '1999-02-22T16:00:00.000000000', '1999-02-22T17:00:00.000000000',
           '1999-02-22T18:00:00.000000000', '1999-02-22T19:00:00.000000000',
           '1999-02-22T20:00:00.000000000', '1999-02-22T21:00:00.000000000',
           '1999-02-22T22:00:00.000000000', '1999-02-22T23:00:00.000000000',
           '1999-02-23T00:00:00.000000000', '1999-02-23T01:00:00.000000000',
           '1999-02-23T02:00:00.000000000', '1999-02-23T03:00:00.000000000',
           '1999-02-23T04:00:00.000000000', '1999-02-23T05:00:00.000000000',
           '1999-02-23T06:00:00.000000000', '1999-02-23T07:00:00.000000000',
           '1999-02-23T08:00:00.000000000', '1999-02-23T09:00:00.000000000',
           '1999-02-23T10:00:00.000000000', '1999-02-23T11:00:00.000000000',
           '1999-02-23T12:00:00.000000000', '1999-02-23T13:00:00.000000000',
           '1999-02-23T14:00:00.000000000', '1999-02-23T15:00:00.000000000',
           '1999-02-23T16:00:00.000000000', '1999-02-23T17:00:00.000000000',
           '1999-02-23T18:00:00.000000000', '1999-02-23T19:00:00.000000000',
           '1999-02-23T20:00:00.000000000', '1999-02-23T21:00:00.000000000',
           '1999-02-23T22:00:00.000000000', '1999-02-23T23:00:00.000000000',
           '1999-02-24T00:00:00.000000000', '1999-02-24T01:00:00.000000000',
           '1999-02-24T02:00:00.000000000', '1999-02-24T03:00:00.000000000',
           '1999-02-24T04:00:00.000000000', '1999-02-24T05:00:00.000000000'],
          dtype='datetime64[ns]')

  • cross_section
    (cross_section)
    <U42
    'Bald Eagle Loc Hav ...

    array(['Bald Eagle       Loc Hav          138154.4',
           'Bald Eagle       Loc Hav          137690.8',
           'Bald Eagle       Loc Hav          137327.0',
           'Bald Eagle       Loc Hav          136564.9',
           'Bald Eagle       Loc Hav          136202.3',
           'Bald Eagle       Loc Hav          135591.4',
           'Bald Eagle       Loc Hav          135068.7',
           'Bald Eagle       Loc Hav          134487.2',
           'Bald Eagle       Loc Hav          133881.0',
           'Bald Eagle       Loc Hav          133446.1',
           'Bald Eagle       Loc Hav          132973.6',
           'Bald Eagle       Loc Hav          132363.8',
           'Bald Eagle       Loc Hav          131699.7',
           'Bald Eagle       Loc Hav          130997.6',
           'Bald Eagle       Loc Hav          130339.2',
           'Bald Eagle       Loc Hav          129627.5',
           'Bald Eagle       Loc Hav          128760.7',
           'Bald Eagle       Loc Hav          128280.7',
           'Bald Eagle       Loc Hav          127410.9',
           'Bald Eagle       Loc Hav          126741.0',
           'Bald Eagle       Loc Hav          126454.1',
           'Bald Eagle       Loc Hav          126062.6',
           'Bald Eagle       Loc Hav          125704.7',
           'Bald Eagle       Loc Hav          125091.9',
           'Bald Eagle       Loc Hav          124615.5',
           'Bald Eagle       Loc Hav          124025.0',
           'Bald Eagle       Loc Hav          123503.5',
           'Bald Eagle       Loc Hav          123123.6',
           'Bald Eagle       Loc Hav          122703.3',
           'Bald Eagle       Loc Hav          122190.8',
           'Bald Eagle       Loc Hav          121754.0',
           'Bald Eagle       Loc Hav          121394.1',
           'Bald Eagle       Loc Hav          120862.6',
           'Bald Eagle       Loc Hav          120421.4',
           'Bald Eagle       Loc Hav          119954.9',
           'Bald Eagle       Loc Hav          119473.8',
           'Bald Eagle       Loc Hav          118901.0',
           'Bald Eagle       Loc Hav          118300.5',
           'Bald Eagle       Loc Hav          117753.9',
           'Bald Eagle       Loc Hav          117180.8',
           'Bald Eagle       Loc Hav          116401.3',
           'Bald Eagle       Loc Hav          115584.2',
           'Bald Eagle       Loc Hav          114899.8',
           'Bald Eagle       Loc Hav          113985.6',
           'Bald Eagle       Loc Hav          112856.9',
           'Bald Eagle       Loc Hav          111971.0',
           'Bald Eagle       Loc Hav          110657.4',
           'Bald Eagle       Loc Hav          109659.9',
           'Bald Eagle       Loc Hav          108600.1',
           'Bald Eagle       Loc Hav          107333.6',
           'Bald Eagle       Loc Hav          106466.0',
           'Bald Eagle       Loc Hav          105178.6',
           'Bald Eagle       Loc Hav          104647.2',
           'Bald Eagle       Loc Hav          104195.0',
           'Bald Eagle       Loc Hav          103854.0',
           'Bald Eagle       Loc Hav          103369.7',
           'Bald Eagle       Loc Hav          103122.3',
           'Bald Eagle       Loc Hav          101440.3',
           'Bald Eagle       Loc Hav          100657.3',
           'Bald Eagle       Loc Hav          99452.75',
           'Bald Eagle       Loc Hav          98206.87',
           'Bald Eagle       Loc Hav          97607.35',
           'Bald Eagle       Loc Hav          96370.43',
           'Bald Eagle       Loc Hav          94560.01',
           'Bald Eagle       Loc Hav          93391.71',
           'Bald Eagle       Loc Hav          92011.85',
           'Bald Eagle       Loc Hav          91030.01',
           'Bald Eagle       Loc Hav          90096.99',
           'Bald Eagle       Loc Hav          89060.69',
           'Bald Eagle       Loc Hav          87861.14',
           'Bald Eagle       Loc Hav          86942.04',
           'Bald Eagle       Loc Hav          85569.53',
           'Bald Eagle       Loc Hav          84724.08',
           'Bald Eagle       Loc Hav          83563.41',
           'Bald Eagle       Loc Hav          82607.89',
           'Bald Eagle       Loc Hav          81849.41',
           'Bald Eagle       Loc Hav          81084.18',
           'Bald Eagle       Loc Hav          80500.50',
           'Bald Eagle       Loc Hav          79684.28',
           'Bald Eagle       Loc Hav          78627.87',
           'Bald Eagle       Loc Hav          76643.40',
           'Bald Eagle       Loc Hav          76002.96',
           'Bald Eagle       Loc Hav          75917.82',
           'Bald Eagle       Loc Hav          75616.14',
           'Bald Eagle       Loc Hav          74650.60',
           'Bald Eagle       Loc Hav          74207.96',
           'Bald Eagle       Loc Hav          73504.24',
           'Bald Eagle       Loc Hav          72303.68',
           'Bald Eagle       Loc Hav          71400.81',
           'Bald Eagle       Loc Hav          70651.52',
           'Bald Eagle       Loc Hav          69567.33',
           'Bald Eagle       Loc Hav          68604.09',
           'Bald Eagle       Loc Hav          67326.78',
           'Bald Eagle       Loc Hav          66070.17',
           'Bald Eagle       Loc Hav          64908.02',
           'Bald Eagle       Loc Hav          63812.99',
           'Bald Eagle       Loc Hav          62746.41',
           'Bald Eagle       Loc Hav          61896.89',
           'Bald Eagle       Loc Hav          60901.09',
           'Bald Eagle       Loc Hav          59795.28',
           'Bald Eagle       Loc Hav          58836.23',
           'Bald Eagle       Loc Hav          58708.54',
           'Bald Eagle       Loc Hav          58091.91',
           'Bald Eagle       Loc Hav          57700.27',
           'Bald Eagle       Loc Hav          57250.60',
           'Bald Eagle       Loc Hav          56775.92',
           'Bald Eagle       Loc Hav          56243.79',
           'Bald Eagle       Loc Hav          55700.55',
           'Bald Eagle       Loc Hav          54696.51',
           'Bald Eagle       Loc Hav          53922.53',
           'Bald Eagle       Loc Hav          52879.19',
           'Bald Eagle       Loc Hav          51784.74',
           'Bald Eagle       Loc Hav          50720.68',
           'Bald Eagle       Loc Hav          49715.77',
           'Bald Eagle       Loc Hav          48965.94',
           'Bald Eagle       Loc Hav          48110.09',
           'Bald Eagle       Loc Hav          47453.14',
           'Bald Eagle       Loc Hav          46722.59',
           'Bald Eagle       Loc Hav          46310.48',
           'Bald Eagle       Loc Hav          45805.37',
           'Bald Eagle       Loc Hav          45233.89',
           'Bald Eagle       Loc Hav          44529.29',
           'Bald Eagle       Loc Hav          43919.30',
           'Bald Eagle       Loc Hav          42895.87',
           'Bald Eagle       Loc Hav          41806.43',
           'Bald Eagle       Loc Hav          40526.85',
           'Bald Eagle       Loc Hav          39499.37',
           'Bald Eagle       Loc Hav          38446.87',
           'Bald Eagle       Loc Hav          37962.54',
           'Bald Eagle       Loc Hav          37385.23',
           'Bald Eagle       Loc Hav          36769.88',
           'Bald Eagle       Loc Hav          36663.76',
           'Bald Eagle       Loc Hav          36339.56',
           'Bald Eagle       Loc Hav          35648.50',
           'Bald Eagle       Loc Hav          35072.37',
           'Bald Eagle       Loc Hav          34098.93',
           'Bald Eagle       Loc Hav          33498.68',
           'Bald Eagle       Loc Hav          32195.47',
           'Bald Eagle       Loc Hav          30878.12',
           'Bald Eagle       Loc Hav          29563.77',
           'Bald Eagle       Loc Hav          27226.40',
           'Bald Eagle       Loc Hav          25960.70',
           'Bald Eagle       Loc Hav          24843.25',
           'Bald Eagle       Loc Hav          24417.73',
           'Bald Eagle       Loc Hav          23872.06',
           'Bald Eagle       Loc Hav          23783.65',
           'Bald Eagle       Loc Hav          23384.79',
           'Bald Eagle       Loc Hav          22982.97',
           'Bald Eagle       Loc Hav          22386.15',
           'Bald Eagle       Loc Hav          21283.34',
           'Bald Eagle       Loc Hav          21199.93',
           'Bald Eagle       Loc Hav          20127.30',
           'Bald Eagle       Loc Hav          19036.24',
           'Bald Eagle       Loc Hav          18200.10',
           'Bald Eagle       Loc Hav          17549.23',
           'Bald Eagle       Loc Hav          16787.45',
           'Bald Eagle       Loc Hav          15407.88',
           'Bald Eagle       Loc Hav          14814.34',
           'Bald Eagle       Loc Hav          13326.74',
           'Bald Eagle       Loc Hav          12035.22',
           'Bald Eagle       Loc Hav          11865.80',
           'Bald Eagle       Loc Hav          11116.44',
           'Bald Eagle       Loc Hav          10995.73',
           'Bald Eagle       Loc Hav          10221.14',
           'Bald Eagle       Loc Hav          9258.941',
           'Bald Eagle       Loc Hav          8541.462',
           'Bald Eagle       Loc Hav          7936.130',
           'Bald Eagle       Loc Hav          6940.066',
           'Bald Eagle       Loc Hav          6267.489',
           'Bald Eagle       Loc Hav          5523.234',
           'Bald Eagle       Loc Hav          4293.710',
           'Bald Eagle       Loc Hav          3047.378',
           'Bald Eagle       Loc Hav          2731.142',
           'Bald Eagle       Loc Hav          2501.017',
           'Bald Eagle       Loc Hav          2371.827',
           'Bald Eagle       Loc Hav          1692.633',
           'Bald Eagle       Loc Hav          1212.855',
           'Bald Eagle       Loc Hav          659.942'], dtype='<U42')

  • River
    (cross_section)
    <U10
    'Bald Eagle' ... 'Bald Eagle'

    array(['Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
    ...
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle'], dtype='<U10')

  • Reach
    (cross_section)
    <U7
    'Loc Hav' 'Loc Hav' ... 'Loc Hav'

    array(['Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav'], dtype='<U7')

  • Station
    (cross_section)
    <U8
    '138154.4' '137690.8' ... '659.942'

    array(['138154.4', '137690.8', '137327.0', '136564.9', '136202.3',
           '135591.4', '135068.7', '134487.2', '133881.0', '133446.1',
           '132973.6', '132363.8', '131699.7', '130997.6', '130339.2',
           '129627.5', '128760.7', '128280.7', '127410.9', '126741.0',
           '126454.1', '126062.6', '125704.7', '125091.9', '124615.5',
           '124025.0', '123503.5', '123123.6', '122703.3', '122190.8',
           '121754.0', '121394.1', '120862.6', '120421.4', '119954.9',
           '119473.8', '118901.0', '118300.5', '117753.9', '117180.8',
           '116401.3', '115584.2', '114899.8', '113985.6', '112856.9',
           '111971.0', '110657.4', '109659.9', '108600.1', '107333.6',
           '106466.0', '105178.6', '104647.2', '104195.0', '103854.0',
           '103369.7', '103122.3', '101440.3', '100657.3', '99452.75',
           '98206.87', '97607.35', '96370.43', '94560.01', '93391.71',
           '92011.85', '91030.01', '90096.99', '89060.69', '87861.14',
           '86942.04', '85569.53', '84724.08', '83563.41', '82607.89',
           '81849.41', '81084.18', '80500.50', '79684.28', '78627.87',
           '76643.40', '76002.96', '75917.82', '75616.14', '74650.60',
           '74207.96', '73504.24', '72303.68', '71400.81', '70651.52',
           '69567.33', '68604.09', '67326.78', '66070.17', '64908.02',
           '63812.99', '62746.41', '61896.89', '60901.09', '59795.28',
           '58836.23', '58708.54', '58091.91', '57700.27', '57250.60',
           '56775.92', '56243.79', '55700.55', '54696.51', '53922.53',
           '52879.19', '51784.74', '50720.68', '49715.77', '48965.94',
           '48110.09', '47453.14', '46722.59', '46310.48', '45805.37',
           '45233.89', '44529.29', '43919.30', '42895.87', '41806.43',
           '40526.85', '39499.37', '38446.87', '37962.54', '37385.23',
           '36769.88', '36663.76', '36339.56', '35648.50', '35072.37',
           '34098.93', '33498.68', '32195.47', '30878.12', '29563.77',
           '27226.40', '25960.70', '24843.25', '24417.73', '23872.06',
           '23783.65', '23384.79', '22982.97', '22386.15', '21283.34',
           '21199.93', '20127.30', '19036.24', '18200.10', '17549.23',
           '16787.45', '15407.88', '14814.34', '13326.74', '12035.22',
           '11865.80', '11116.44', '10995.73', '10221.14', '9258.941',
           '8541.462', '7936.130', '6940.066', '6267.489', '5523.234',
           '4293.710', '3047.378', '2731.142', '2501.017', '2371.827',
           '1692.633', '1212.855', '659.942'], dtype='<U8')

  • Name
    (cross_section)
    <U1
    '' '' '' '' '' ... '' '' '' '' ''

    array(['', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
           '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
           '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
           '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
           '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
           '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
           '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
           '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
           '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
           '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
           '', '', '', '', '', '', '', ''], dtype='<U1')

  • Maximum_Water_Surface
    (cross_section)
    float32
    672.8 672.8 672.3 ... 561.4 561.4

    array([672.8083 , 672.8004 , 672.3424 , 668.47003, 668.28735, 666.43463,
           665.97174, 664.9929 , 664.3654 , 663.7863 , 663.4393 , 662.7834 ,
           662.3831 , 662.1838 , 662.0982 , 662.05475, 662.03235, 662.0193 ,
           661.9989 , 661.9729 , 661.93274, 661.90784, 661.8983 , 661.8816 ,
           661.87445, 661.85974, 661.84784, 661.8398 , 661.83435, 661.8268 ,
           661.82056, 661.81445, 661.8078 , 661.7953 , 661.7858 , 661.7818 ,
           661.77625, 661.7683 , 661.77   , 661.77026, 661.77026, 661.7686 ,
           661.7675 , 661.766  , 661.7641 , 661.7637 , 661.7618 , 661.76013,
           661.759  , 661.7577 , 661.75696, 661.75665, 661.7556 , 661.7552 ,
           661.7551 , 661.75476, 661.7274 , 661.7263 , 661.726  , 661.7257 ,
           661.7258 , 661.7246 , 661.72516, 661.7246 , 661.7239 , 661.7231 ,
           661.7228 , 661.7231 , 661.72296, 661.72296, 661.72296, 661.723  ,
           661.72284, 661.7227 , 661.7226 , 661.72205, 604.08167, 599.2422 ,
           597.4992 , 596.6715 , 596.0833 , 595.93427, 593.03595, 592.6566 ,
           591.674  , 591.38635, 591.07404, 590.66473, 590.3238 , 589.70557,
           588.8316 , 588.29346, 587.5537 , 586.5371 , 585.5946 , 584.5524 ,
           583.773  , 583.3294 , 582.79364, 582.0991 , 580.4908 , 579.9498 ,
           579.6148 , 579.19116, 578.7775 , 578.2217 , 577.6919 , 577.2564 ,
           576.5222 , 575.6769 , 574.95483, 574.0744 , 573.30615, 573.0116 ,
           572.8154 , 572.3989 , 571.9822 , 571.54706, 571.3506 , 571.13275,
           570.9234 , 570.69257, 570.552  , 570.3475 , 570.15906, 569.98694,
           569.818  , 569.48126, 569.26605, 568.97125, 567.8343 , 566.7552 ,
           566.9668 , 566.60626, 566.3547 , 566.11206, 565.98395, 565.7672 ,
           565.63135, 565.5791 , 565.4534 , 565.4069 , 565.3439 , 565.3861 ,
           565.3372 , 565.3187 , 565.31177, 565.2976 , 565.2463 , 565.00037,
           564.1702 , 563.8402 , 563.35736, 563.33936, 563.2823 , 563.1139 ,
           562.80774, 562.5509 , 562.44135, 562.25354, 562.2246 , 562.12634,
           562.11804, 562.0936 , 562.0329 , 562.01575, 561.9913 , 561.9665 ,
           561.9507 , 561.922  , 561.86176, 561.6879 , 561.6132 , 561.66547,
           561.4566 , 561.4437 , 561.3974 , 561.3841 ], dtype=float32)

  • Maximum_Flow
    (cross_section)
    float32
    5e+04 5e+04 ... 2.544e+04 2.543e+04

    array([50000.   , 49999.277, 49998.5  , 49997.066, 49996.453, 49995.383,
           49993.965, 49991.86 , 49989.703, 49988.2  , 49986.496, 49983.85 ,
           49977.9  , 49954.79 , 49899.207, 49795.52 , 49609.223, 49447.14 ,
           49249.516, 49119.43 , 49068.586, 49010.36 , 48952.938, 48831.582,
           48708.812, 48528.707, 48358.484, 48222.14 , 48075.41 , 47900.918,
           47749.39 , 47628.062, 47448.   , 47297.816, 47158.82 , 46994.066,
           46761.207, 46470.016, 46217.26 , 45923.203, 45462.684, 44963.973,
           44539.453, 43936.227, 43165.91 , 42521.33 , 41583.336, 40817.547,
           39944.664, 38816.613, 37987.316, 36401.32 , 35719.547, 35249.113,
           34930.74 , 34291.89 , 34291.89 , 33771.758, 33561.688, 33210.51 ,
           32899.586, 32784.484, 32561.23 , 32202.996, 32080.018, 31951.734,
           31846.203, 31723.996, 31575.727, 31473.805, 31399.963, 31271.748,
           31185.617, 31150.838, 31135.432, 31121.82 , 31121.82 , 31121.781,
           31124.074, 31133.104, 31158.498, 31169.047, 31169.047, 31166.965,
           31157.941, 31152.197, 31138.895, 31107.584, 31083.654, 31052.768,
           31040.521, 31029.816, 31015.428, 30991.578, 30954.234, 30900.646,
           30873.102, 30862.662, 30848.908, 30833.71 , 30819.938, 30819.938,
           30809.865, 30802.389, 30794.752, 30787.105, 30775.686, 30761.396,
           30737.812, 30732.6  , 30722.518, 30704.746, 30680.564, 30650.115,
           30624.324, 30595.088, 30567.367, 30522.264, 30495.469, 30470.635,
           30447.299, 30431.75 , 30416.564, 30381.902, 30341.764, 30296.783,
           30260.576, 30230.283, 30220.078, 30210.379, 30197.227, 30197.227,
           30181.969, 30135.516, 30082.2  , 29930.46 , 29776.48 , 29410.33 ,
           28765.744, 28189.54 , 27075.262, 26511.098, 26108.732, 26025.361,
           25936.264, 25936.264, 25883.834, 25847.754, 25810.752, 25767.684,
           25767.684, 25745.574, 25734.588, 25722.477, 25709.617, 25694.47 ,
           25672.504, 25672.504, 25627.148, 25598.38 , 25598.38 , 25582.232,
           25580.06 , 25565.295, 25541.334, 25519.822, 25500.143, 25471.164,
           25465.271, 25459.174, 25450.379, 25444.848, 25444.848, 25443.414,
           25443.414, 25438.51 , 25435.498, 25433.014], dtype=float32)

  • Maximum_Channel_Velocity
    (cross_section)
    float32
    11.81 8.031 8.541 ... 2.336 2.028

    array([11.812503  ,  8.030786  ,  8.540562  , 14.872775  ,  9.507263  ,
           10.15815   ,  8.15286   ,  8.326727  ,  6.5999293 ,  8.17707   ,
            8.032947  , 11.198341  , 12.234627  ,  9.092922  ,  9.066477  ,
            7.2996836 ,  5.52664   ,  4.2732077 ,  4.7336273 ,  6.360224  ,
            8.949528  ,  8.6625805 ,  7.819408  ,  7.1476135 ,  5.96442   ,
            7.027773  ,  7.9283524 ,  6.9856853 ,  6.9036927 ,  6.7109795 ,
            6.4021783 ,  6.022167  ,  6.244061  ,  7.922783  ,  7.2741246 ,
            8.142959  ,  8.643781  ,  6.490202  ,  4.810386  ,  4.6272864 ,
            3.4918845 ,  3.499939  ,  3.8485544 ,  3.705069  ,  3.488256  ,
            3.3187995 ,  3.1255934 ,  3.8484316 ,  3.4325507 ,  3.8132203 ,
            2.751455  ,  2.6663818 ,  3.1957998 ,  3.6823099 ,  1.7051861 ,
            2.755944  ,  3.4311807 ,  3.175781  ,  2.4778259 ,  1.6806258 ,
            1.7250998 ,  3.3406339 ,  1.319027  ,  0.7363014 ,  0.6849868 ,
            0.65390813,  0.6586573 ,  0.4639212 ,  0.3787203 ,  0.2831529 ,
            0.21750925,  0.16331606,  0.17541765,  0.1781217 ,  0.18781568,
            1.1757871 , 22.750395  , 17.458902  ,  9.417131  ,  5.7179294 ,
            3.4995317 ,  7.7087145 , 11.000027  ,  6.953649  ,  6.182883  ,
            5.07461   ,  3.8712187 ,  3.6999774 ,  4.447293  ,  6.800979  ,
            6.0723934 ,  5.1347547 ,  5.1422505 ,  5.493057  ,  5.6197605 ,
            6.7890387 ,  4.7456946 ,  4.573099  ,  5.1624017 ,  5.6594324 ,
            8.989709  ,  8.608159  ,  6.001301  ,  7.6423187 ,  5.938177  ,
            7.3681517 ,  6.2022195 ,  6.0203    ,  7.3527746 ,  6.242222  ,
            5.710075  ,  6.692033  ,  5.4320927 ,  1.6642706 ,  3.7625532 ,
            4.2739825 ,  4.864594  ,  5.651308  ,  3.982407  ,  4.26651   ,
            3.969296  ,  3.794193  ,  2.8753169 ,  2.6231117 ,  2.2530284 ,
            2.2267153 ,  2.9188883 ,  4.152705  ,  4.242249  ,  4.800352  ,
            8.157108  , 10.09561   ,  5.7649264 ,  5.433866  ,  5.3056655 ,
            3.8368495 ,  4.240508  ,  5.19261   ,  2.843745  ,  3.9551861 ,
            5.113509  ,  3.1288211 ,  5.926397  ,  2.8478453 ,  6.3284593 ,
            6.3671126 ,  2.652883  ,  2.2874377 ,  3.386998  ,  4.021641  ,
            4.1725826 ,  4.998009  ,  5.8390512 ,  3.304601  ,  3.2443674 ,
            3.9661987 ,  4.5127673 ,  4.7167144 ,  3.2895782 ,  3.7422378 ,
            3.6811066 ,  4.2063427 ,  4.0659294 ,  3.5599651 ,  3.2822728 ,
            2.734432  ,  2.8866806 ,  2.9652953 ,  2.5404985 ,  2.5950058 ,
            2.8831353 ,  2.9464283 ,  2.9566255 ,  2.2759185 ,  2.2294524 ,
            1.8292217 ,  2.3363447 ,  2.028468  ], dtype=float32)

  • Maximum_Velocity_Total
    (cross_section)
    float32
    9.371 5.379 5.474 ... 1.75 1.632

    array([ 9.370882  ,  5.378739  ,  5.4739213 , 10.302147  ,  6.5563855 ,
            8.256271  ,  4.5479856 ,  4.816462  ,  4.2405076 ,  5.0173225 ,
            4.4982314 ,  6.294476  ,  5.8756742 ,  3.8685176 ,  3.5260816 ,
            3.2664635 ,  2.635425  ,  2.3568053 ,  2.9615119 ,  4.0881457 ,
            5.875006  ,  5.759664  ,  5.2508883 ,  4.8398633 ,  4.0419855 ,
            4.487019  ,  4.731657  ,  4.4276237 ,  4.1946855 ,  4.271055  ,
            4.094936  ,  3.9684198 ,  4.142448  ,  5.146757  ,  5.1324353 ,
            5.6123166 ,  5.8039    ,  5.404911  ,  4.810385  ,  4.627286  ,
            3.4660807 ,  3.4999385 ,  3.848554  ,  3.7050686 ,  3.4882555 ,
            3.318799  ,  3.082088  ,  3.3801436 ,  2.7474437 ,  2.6163874 ,
            1.9111421 ,  1.9766078 ,  3.0545475 ,  2.0234456 ,  1.705186  ,
            2.7559438 ,  3.43118   ,  3.17578   ,  2.4778254 ,  1.6806256 ,
            1.7250996 ,  3.3406327 ,  1.3190267 ,  0.73630136,  0.68498677,
            0.6539081 ,  0.65865725,  0.46392113,  0.37872028,  0.28315288,
            0.21750925,  0.1583678 ,  0.14584854,  0.14816245,  0.16084048,
            1.1757866 , 16.748856  , 17.328615  ,  4.6342516 ,  2.9558008 ,
            3.1937103 ,  7.300575  , 10.609156  ,  4.3381734 ,  3.5551865 ,
            3.1980283 ,  2.8524709 ,  2.3938735 ,  3.8771615 ,  3.1392934 ,
            3.078124  ,  2.4027638 ,  2.6997342 ,  3.380201  ,  3.5084925 ,
            4.1650133 ,  3.423207  ,  3.3413866 ,  3.7231731 ,  3.2602346 ,
            7.5418005 ,  7.686143  ,  2.7316341 ,  3.1450512 ,  3.075248  ,
            3.8727295 ,  2.6933932 ,  2.5596414 ,  2.5048485 ,  3.0271075 ,
            2.9439037 ,  2.8698235 ,  2.029665  ,  1.9004382 ,  2.0301003 ,
            3.798065  ,  3.5277047 ,  3.6240544 ,  2.5050428 ,  2.6771617 ,
            2.5283766 ,  2.5315018 ,  1.8790232 ,  1.7469782 ,  1.7027539 ,
            1.4129202 ,  1.6637251 ,  2.3999555 ,  2.8498418 ,  3.2474527 ,
            7.9681983 ,  9.923272  ,  3.1190367 ,  2.7628803 ,  2.8068283 ,
            1.761655  ,  1.9243454 ,  3.1915815 ,  1.7045172 ,  1.9503653 ,
            3.2319002 ,  2.6028209 ,  2.8480465 ,  2.556214  ,  6.3284574 ,
            6.3671107 ,  2.3514667 ,  1.8939488 ,  2.5823147 ,  4.02164   ,
            4.1725817 ,  4.998008  ,  5.8390493 ,  3.1381173 ,  2.8177044 ,
            3.9661977 ,  4.5127664 ,  4.7167134 ,  2.6954389 ,  3.728219  ,
            3.5556586 ,  4.150572  ,  3.98175   ,  3.0446649 ,  2.7210937 ,
            2.11038   ,  2.2648735 ,  2.8393662 ,  2.3162882 ,  2.3150601 ,
            2.628837  ,  2.946428  ,  2.9566252 ,  2.274775  ,  2.2150545 ,
            1.7221093 ,  1.7503667 ,  1.632491  ], dtype=float32)

  • Maximum_Flow_Lateral
    (cross_section)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
           0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
           0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
           0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
           0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
           0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
           0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
           0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
           0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
           0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
           0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)

• Data variables: (5)
  • Water_Surface
    (time, cross_section)
    float32
    660.7 660.0 659.6 ... 540.0 540.0

    array([[660.65106, 659.9728 , 659.5532 , ..., 537.6072 , 537.56915,
            537.5    ],
           [659.7748 , 658.98413, 658.6078 , ..., 537.6539 , 537.6162 ,
            537.5485 ],
           [660.21893, 659.48126, 659.07806, ..., 537.6845 , 537.6469 ,
            537.57965],
           ...,
           [659.8096 , 659.038  , 658.6679 , ..., 540.06116, 540.02844,
            539.9828 ],
           [659.7859 , 659.01276, 658.644  , ..., 540.0531 , 540.02045,
            539.9746 ],
           [659.7619 , 658.98883, 658.6214 , ..., 540.04645, 540.0138 ,
            539.96796]], shape=(150, 178), dtype=float32)

  • Velocity_Total
    (time, cross_section)
    float32
    0.0 0.0 0.0 ... 1.213 1.273 1.227

    array([[0.       , 0.       , 0.       , ..., 0.       , 0.       ,
            0.       ],
           [3.011383 , 2.7598977, 2.7094698, ..., 1.1087016, 1.1767557,
            1.3191748],
           [2.9495692, 2.6395888, 2.8449411, ..., 1.1100217, 1.1782002,
            1.3193275],
           ...,
           [2.9721663, 2.7413037, 2.7059624, ..., 1.2128596, 1.273654 ,
            1.2248881],
           [2.9774547, 2.7339072, 2.693955 , ..., 1.2126882, 1.2734915,
            1.2258528],
           [2.9768345, 2.7267766, 2.6824644, ..., 1.2125665, 1.2733645,
            1.2266811]], shape=(150, 178), dtype=float32)

  • Velocity_Channel
    (time, cross_section)
    float32
    0.0 0.0 0.0 ... 1.213 1.273 1.286

    array([[0.       , 0.       , 0.       , ..., 0.       , 0.       ,
            0.       ],
           [3.4043593, 2.977533 , 2.7850952, ..., 1.1087022, 1.1767564,
            1.3191756],
           [3.515353 , 3.1833253, 3.093695 , ..., 1.1100222, 1.178201 ,
            1.3193283],
           ...,
           [3.370551 , 2.9698584, 2.7867653, ..., 1.2128601, 1.2736545,
            1.284918 ],
           [3.368696 , 2.956161 , 2.7723553, ..., 1.2126887, 1.273492 ,
            1.2852883],
           [3.3626006, 2.9430385, 2.758582 , ..., 1.212567 , 1.273365 ,
            1.2856194]], shape=(150, 178), dtype=float32)

  • Flow_Lateral
    (time, cross_section)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(150, 178), dtype=float32)

  • Flow
    (time, cross_section)
    float32
    2e+03 2e+03 ... 2.987e+03 2.987e+03

    array([[2000.    , 2000.    , 2000.    , ..., 2000.    , 2000.    ,
            2000.    ],
           [1301.64  , 1293.2349, 1287.7917, ..., 2022.0946, 2020.7821,
            2019.1073],
           [1676.94  , 1654.9875, 1636.6017, ..., 2033.3081, 2032.6025,
            2031.6722],
           ...,
           [1308.57  , 1309.2905, 1309.6969, ..., 2992.1663, 2992.518 ,
            2993.1013],
           [1293.53  , 1294.1036, 1294.4808, ..., 2989.1624, 2989.4062,
            2989.8638],
           [1279.21  , 1279.7675, 1280.1305, ..., 2986.629 , 2986.827 ,
            2987.1833]], shape=(150, 178), dtype=float32)

• Indexes: (2)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['1999-02-18 00:00:00', '1999-02-18 01:00:00',
                   '1999-02-18 02:00:00', '1999-02-18 03:00:00',
                   '1999-02-18 04:00:00', '1999-02-18 05:00:00',
                   '1999-02-18 06:00:00', '1999-02-18 07:00:00',
                   '1999-02-18 08:00:00', '1999-02-18 09:00:00',
                   ...
                   '1999-02-23 20:00:00', '1999-02-23 21:00:00',
                   '1999-02-23 22:00:00', '1999-02-23 23:00:00',
                   '1999-02-24 00:00:00', '1999-02-24 01:00:00',
                   '1999-02-24 02:00:00', '1999-02-24 03:00:00',
                   '1999-02-24 04:00:00', '1999-02-24 05:00:00'],
                  dtype='datetime64[ns]', name='time', length=150, freq=None))

  • cross_section
    PandasIndex

    PandasIndex(Index(['Bald Eagle       Loc Hav          138154.4',
           'Bald Eagle       Loc Hav          137690.8',
           'Bald Eagle       Loc Hav          137327.0',
           'Bald Eagle       Loc Hav          136564.9',
           'Bald Eagle       Loc Hav          136202.3',
           'Bald Eagle       Loc Hav          135591.4',
           'Bald Eagle       Loc Hav          135068.7',
           'Bald Eagle       Loc Hav          134487.2',
           'Bald Eagle       Loc Hav          133881.0',
           'Bald Eagle       Loc Hav          133446.1',
           ...
           'Bald Eagle       Loc Hav          6267.489',
           'Bald Eagle       Loc Hav          5523.234',
           'Bald Eagle       Loc Hav          4293.710',
           'Bald Eagle       Loc Hav          3047.378',
           'Bald Eagle       Loc Hav          2731.142',
           'Bald Eagle       Loc Hav          2501.017',
           'Bald Eagle       Loc Hav          2371.827',
           'Bald Eagle       Loc Hav          1692.633',
           'Bald Eagle       Loc Hav          1212.855',
           'Bald Eagle       Loc Hav          659.942'],
          dtype='object', name='cross_section', length=178))

• Attributes: (2)

  description :

  Cross-section results extracted from HEC-RAS HDF file

  source_file :

  C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf

Python

# Plot the time of maximum water surface elevation (WSEL) for cross sections



# Get cross section geometry data
xsec_geom = HdfXsec.get_cross_sections(plan_hdf_path)
print("\nNumber of cross sections in geometry:", len(xsec_geom))

# Create dataframe with cross section locations and max WSEL times
xs_data = []

# Extract water surface data from xarray Dataset
water_surface = xsec_results_xr['Water_Surface'].values
times = pd.to_datetime(xsec_results_xr.time.values)

# Debug print
print("\nFirst few cross section names:")
print(xsec_results_xr.cross_section.values[:5])

# Iterate through cross sections
for xs_idx in range(len(xsec_results_xr.cross_section)):
    # Get WSEL timeseries for this cross section
    wsel_series = water_surface[:, xs_idx]

    # Get cross section name and parse components
    xs_name = xsec_results_xr.cross_section.values[xs_idx]

    # Split the string and remove empty strings
    xs_parts = [part for part in xs_name.split() if part]

    if len(xs_parts) >= 3:
        # Parse River, Reach, RS from the parts
        # Format is typically: River Reach RS (e.g., "White Muncie 5124.979")
        river = xs_parts[0]
        reach = xs_parts[1]
        rs = xs_parts[-1]     # Last part is the station

        # Get geometry for this cross section
        xs_match = xsec_geom[
            (xsec_geom['River'] == river) &
            (xsec_geom['Reach'] == reach) &
            (xsec_geom['RS'] == rs)
        ]

        if not xs_match.empty:
            geom = xs_match.iloc[0]
            # Use first point of cross section line for plotting
            x = geom.geometry.coords[0][0]
            y = geom.geometry.coords[0][1]

            # Find time of max WSEL
            max_wsel_idx = np.argmax(wsel_series)
            max_wsel = np.max(wsel_series)
            max_time = times[max_wsel_idx]

            xs_data.append({
                'xs_name': xs_name,
                'x': x,
                'y': y,
                'max_wsel': max_wsel,
                'time_of_max': max_time
            })
        else:
            print(f"\nWarning: No geometry match found for {xs_name}")
            print(f"River: {river}, Reach: {reach}, RS: {rs}")
    else:
        print(f"\nWarning: Could not parse cross section name: {xs_name}")

# Create dataframe
xs_df = pd.DataFrame(xs_data)

# Debug print
print("\nNumber of cross sections processed:", len(xs_df))




if generate_plots:
    print("\nColumns in xs_df:", xs_df.columns.tolist())
    print("\nFirst row of xs_df:")
    if len(xs_df) > 0:
        print(xs_df.iloc[0])
    else:
        print("(No cross sections matched)")

    # Create the plot only if we have data
    if len(xs_df) == 0:
        print("No cross sections to plot - skipping")
    else:
        # Create the plot
        fig, ax = plt.subplots(figsize=(12, 8))

        # Convert datetime to hours since start for colormap
        min_time = min(xs_df['time_of_max'])
        color_values = [(t - min_time).total_seconds() / 3600 for t in xs_df['time_of_max']]

        # Plot cross section points
        scatter = ax.scatter(xs_df['x'], xs_df['y'],
                            c=color_values,
                            cmap='viridis',
                            s=50)

        # Customize plot
        ax.set_title('Time of Maximum Water Surface Elevation at Cross Sections')
        ax.set_xlabel('X Coordinate')
        ax.set_ylabel('Y Coordinate')

        # Add colorbar
        cbar = plt.colorbar(scatter)
        cbar.set_label('Hours since simulation start')

        # Format colorbar ticks
        max_hours = int(max(color_values))
        tick_interval = max(1, max_hours // 6)  # Show ~6 ticks
        cbar.set_ticks(range(0, max_hours + 1, tick_interval))
        cbar.set_ticklabels([f'{h}h' for h in range(0, max_hours + 1, tick_interval)])

        # Add grid and adjust styling
        ax.grid(True, linestyle='--', alpha=0.7)
        plt.rcParams.update({'font.size': 12})
        plt.tight_layout()

        # Show plot
        plt.show()

        # Print summary statistics
        max_wsel_xs = xs_df.loc[xs_df['max_wsel'].idxmax()]
        hours_since_start = (max_wsel_xs['time_of_max'] - min_time).total_seconds() / 3600

        print(f"\nOverall Maximum WSEL: {max_wsel_xs['max_wsel']:.2f} ft")
        print(f"Time of Overall Maximum WSEL: {max_wsel_xs['time_of_max']}")
        print(f"Hours since simulation start: {hours_since_start:.2f} hours")
        print(f"Location of Overall Maximum WSEL: X={max_wsel_xs['x']:.2f}, Y={max_wsel_xs['y']:.2f}")
        print(f"Cross Section: {max_wsel_xs['xs_name']}")

Text Only

Number of cross sections in geometry: 178

First few cross section names:
['Bald Eagle       Loc Hav          138154.4'
 'Bald Eagle       Loc Hav          137690.8'
 'Bald Eagle       Loc Hav          137327.0'
 'Bald Eagle       Loc Hav          136564.9'
 'Bald Eagle       Loc Hav          136202.3']

Warning: No geometry match found for Bald Eagle       Loc Hav          138154.4
River: Bald, Reach: Eagle, RS: 138154.4

Warning: No geometry match found for Bald Eagle       Loc Hav          137690.8
River: Bald, Reach: Eagle, RS: 137690.8

Warning: No geometry match found for Bald Eagle       Loc Hav          137327.0
River: Bald, Reach: Eagle, RS: 137327.0

Warning: No geometry match found for Bald Eagle       Loc Hav          136564.9
River: Bald, Reach: Eagle, RS: 136564.9

Warning: No geometry match found for Bald Eagle       Loc Hav          136202.3
River: Bald, Reach: Eagle, RS: 136202.3

Warning: No geometry match found for Bald Eagle       Loc Hav          135591.4
River: Bald, Reach: Eagle, RS: 135591.4

Warning: No geometry match found for Bald Eagle       Loc Hav          135068.7
River: Bald, Reach: Eagle, RS: 135068.7

Warning: No geometry match found for Bald Eagle       Loc Hav          134487.2
River: Bald, Reach: Eagle, RS: 134487.2

Warning: No geometry match found for Bald Eagle       Loc Hav          133881.0
River: Bald, Reach: Eagle, RS: 133881.0

Warning: No geometry match found for Bald Eagle       Loc Hav          133446.1
River: Bald, Reach: Eagle, RS: 133446.1

Warning: No geometry match found for Bald Eagle       Loc Hav          132973.6
River: Bald, Reach: Eagle, RS: 132973.6

Warning: No geometry match found for Bald Eagle       Loc Hav          132363.8
River: Bald, Reach: Eagle, RS: 132363.8

Warning: No geometry match found for Bald Eagle       Loc Hav          131699.7
River: Bald, Reach: Eagle, RS: 131699.7

Warning: No geometry match found for Bald Eagle       Loc Hav          130997.6
River: Bald, Reach: Eagle, RS: 130997.6

Warning: No geometry match found for Bald Eagle       Loc Hav          130339.2
River: Bald, Reach: Eagle, RS: 130339.2

Warning: No geometry match found for Bald Eagle       Loc Hav          129627.5
River: Bald, Reach: Eagle, RS: 129627.5

Warning: No geometry match found for Bald Eagle       Loc Hav          128760.7
River: Bald, Reach: Eagle, RS: 128760.7

Warning: No geometry match found for Bald Eagle       Loc Hav          128280.7
River: Bald, Reach: Eagle, RS: 128280.7

Warning: No geometry match found for Bald Eagle       Loc Hav          127410.9
River: Bald, Reach: Eagle, RS: 127410.9

Warning: No geometry match found for Bald Eagle       Loc Hav          126741.0
River: Bald, Reach: Eagle, RS: 126741.0

Warning: No geometry match found for Bald Eagle       Loc Hav          126454.1
River: Bald, Reach: Eagle, RS: 126454.1

Warning: No geometry match found for Bald Eagle       Loc Hav          126062.6
River: Bald, Reach: Eagle, RS: 126062.6

Warning: No geometry match found for Bald Eagle       Loc Hav          125704.7
River: Bald, Reach: Eagle, RS: 125704.7

Warning: No geometry match found for Bald Eagle       Loc Hav          125091.9
River: Bald, Reach: Eagle, RS: 125091.9

Warning: No geometry match found for Bald Eagle       Loc Hav          124615.5
River: Bald, Reach: Eagle, RS: 124615.5

Warning: No geometry match found for Bald Eagle       Loc Hav          124025.0
River: Bald, Reach: Eagle, RS: 124025.0

Warning: No geometry match found for Bald Eagle       Loc Hav          123503.5
River: Bald, Reach: Eagle, RS: 123503.5

Warning: No geometry match found for Bald Eagle       Loc Hav          123123.6
River: Bald, Reach: Eagle, RS: 123123.6

Warning: No geometry match found for Bald Eagle       Loc Hav          122703.3
River: Bald, Reach: Eagle, RS: 122703.3

Warning: No geometry match found for Bald Eagle       Loc Hav          122190.8
River: Bald, Reach: Eagle, RS: 122190.8

Warning: No geometry match found for Bald Eagle       Loc Hav          121754.0
River: Bald, Reach: Eagle, RS: 121754.0

Warning: No geometry match found for Bald Eagle       Loc Hav          121394.1
River: Bald, Reach: Eagle, RS: 121394.1

Warning: No geometry match found for Bald Eagle       Loc Hav          120862.6
River: Bald, Reach: Eagle, RS: 120862.6

Warning: No geometry match found for Bald Eagle       Loc Hav          120421.4
River: Bald, Reach: Eagle, RS: 120421.4

Warning: No geometry match found for Bald Eagle       Loc Hav          119954.9
River: Bald, Reach: Eagle, RS: 119954.9

Warning: No geometry match found for Bald Eagle       Loc Hav          119473.8
River: Bald, Reach: Eagle, RS: 119473.8

Warning: No geometry match found for Bald Eagle       Loc Hav          118901.0
River: Bald, Reach: Eagle, RS: 118901.0

Warning: No geometry match found for Bald Eagle       Loc Hav          118300.5
River: Bald, Reach: Eagle, RS: 118300.5

Warning: No geometry match found for Bald Eagle       Loc Hav          117753.9
River: Bald, Reach: Eagle, RS: 117753.9

Warning: No geometry match found for Bald Eagle       Loc Hav          117180.8
River: Bald, Reach: Eagle, RS: 117180.8

Warning: No geometry match found for Bald Eagle       Loc Hav          116401.3
River: Bald, Reach: Eagle, RS: 116401.3

Warning: No geometry match found for Bald Eagle       Loc Hav          115584.2
River: Bald, Reach: Eagle, RS: 115584.2

Warning: No geometry match found for Bald Eagle       Loc Hav          114899.8
River: Bald, Reach: Eagle, RS: 114899.8

Warning: No geometry match found for Bald Eagle       Loc Hav          113985.6
River: Bald, Reach: Eagle, RS: 113985.6

Warning: No geometry match found for Bald Eagle       Loc Hav          112856.9
River: Bald, Reach: Eagle, RS: 112856.9

Warning: No geometry match found for Bald Eagle       Loc Hav          111971.0
River: Bald, Reach: Eagle, RS: 111971.0

Warning: No geometry match found for Bald Eagle       Loc Hav          110657.4
River: Bald, Reach: Eagle, RS: 110657.4

Warning: No geometry match found for Bald Eagle       Loc Hav          109659.9
River: Bald, Reach: Eagle, RS: 109659.9

Warning: No geometry match found for Bald Eagle       Loc Hav          108600.1
River: Bald, Reach: Eagle, RS: 108600.1

Warning: No geometry match found for Bald Eagle       Loc Hav          107333.6
River: Bald, Reach: Eagle, RS: 107333.6

Warning: No geometry match found for Bald Eagle       Loc Hav          106466.0
River: Bald, Reach: Eagle, RS: 106466.0

Warning: No geometry match found for Bald Eagle       Loc Hav          105178.6
River: Bald, Reach: Eagle, RS: 105178.6

Warning: No geometry match found for Bald Eagle       Loc Hav          104647.2
River: Bald, Reach: Eagle, RS: 104647.2

Warning: No geometry match found for Bald Eagle       Loc Hav          104195.0
River: Bald, Reach: Eagle, RS: 104195.0

Warning: No geometry match found for Bald Eagle       Loc Hav          103854.0
River: Bald, Reach: Eagle, RS: 103854.0

Warning: No geometry match found for Bald Eagle       Loc Hav          103369.7
River: Bald, Reach: Eagle, RS: 103369.7

Warning: No geometry match found for Bald Eagle       Loc Hav          103122.3
River: Bald, Reach: Eagle, RS: 103122.3

Warning: No geometry match found for Bald Eagle       Loc Hav          101440.3
River: Bald, Reach: Eagle, RS: 101440.3

Warning: No geometry match found for Bald Eagle       Loc Hav          100657.3
River: Bald, Reach: Eagle, RS: 100657.3

Warning: No geometry match found for Bald Eagle       Loc Hav          99452.75
River: Bald, Reach: Eagle, RS: 99452.75

Warning: No geometry match found for Bald Eagle       Loc Hav          98206.87
River: Bald, Reach: Eagle, RS: 98206.87

Warning: No geometry match found for Bald Eagle       Loc Hav          97607.35
River: Bald, Reach: Eagle, RS: 97607.35

Warning: No geometry match found for Bald Eagle       Loc Hav          96370.43
River: Bald, Reach: Eagle, RS: 96370.43

Warning: No geometry match found for Bald Eagle       Loc Hav          94560.01
River: Bald, Reach: Eagle, RS: 94560.01

Warning: No geometry match found for Bald Eagle       Loc Hav          93391.71
River: Bald, Reach: Eagle, RS: 93391.71

Warning: No geometry match found for Bald Eagle       Loc Hav          92011.85
River: Bald, Reach: Eagle, RS: 92011.85

Warning: No geometry match found for Bald Eagle       Loc Hav          91030.01
River: Bald, Reach: Eagle, RS: 91030.01

Warning: No geometry match found for Bald Eagle       Loc Hav          90096.99
River: Bald, Reach: Eagle, RS: 90096.99

Warning: No geometry match found for Bald Eagle       Loc Hav          89060.69
River: Bald, Reach: Eagle, RS: 89060.69

Warning: No geometry match found for Bald Eagle       Loc Hav          87861.14
River: Bald, Reach: Eagle, RS: 87861.14

Warning: No geometry match found for Bald Eagle       Loc Hav          86942.04
River: Bald, Reach: Eagle, RS: 86942.04

Warning: No geometry match found for Bald Eagle       Loc Hav          85569.53
River: Bald, Reach: Eagle, RS: 85569.53

Warning: No geometry match found for Bald Eagle       Loc Hav          84724.08
River: Bald, Reach: Eagle, RS: 84724.08

Warning: No geometry match found for Bald Eagle       Loc Hav          83563.41
River: Bald, Reach: Eagle, RS: 83563.41

Warning: No geometry match found for Bald Eagle       Loc Hav          82607.89
River: Bald, Reach: Eagle, RS: 82607.89

Warning: No geometry match found for Bald Eagle       Loc Hav          81849.41
River: Bald, Reach: Eagle, RS: 81849.41

Warning: No geometry match found for Bald Eagle       Loc Hav          81084.18
River: Bald, Reach: Eagle, RS: 81084.18

Warning: No geometry match found for Bald Eagle       Loc Hav          80500.50
River: Bald, Reach: Eagle, RS: 80500.50

Warning: No geometry match found for Bald Eagle       Loc Hav          79684.28
River: Bald, Reach: Eagle, RS: 79684.28

Warning: No geometry match found for Bald Eagle       Loc Hav          78627.87
River: Bald, Reach: Eagle, RS: 78627.87

Warning: No geometry match found for Bald Eagle       Loc Hav          76643.40
River: Bald, Reach: Eagle, RS: 76643.40

Warning: No geometry match found for Bald Eagle       Loc Hav          76002.96
River: Bald, Reach: Eagle, RS: 76002.96

Warning: No geometry match found for Bald Eagle       Loc Hav          75917.82
River: Bald, Reach: Eagle, RS: 75917.82

Warning: No geometry match found for Bald Eagle       Loc Hav          75616.14
River: Bald, Reach: Eagle, RS: 75616.14

Warning: No geometry match found for Bald Eagle       Loc Hav          74650.60
River: Bald, Reach: Eagle, RS: 74650.60

Warning: No geometry match found for Bald Eagle       Loc Hav          74207.96
River: Bald, Reach: Eagle, RS: 74207.96

Warning: No geometry match found for Bald Eagle       Loc Hav          73504.24
River: Bald, Reach: Eagle, RS: 73504.24

Warning: No geometry match found for Bald Eagle       Loc Hav          72303.68
River: Bald, Reach: Eagle, RS: 72303.68

Warning: No geometry match found for Bald Eagle       Loc Hav          71400.81
River: Bald, Reach: Eagle, RS: 71400.81

Warning: No geometry match found for Bald Eagle       Loc Hav          70651.52
River: Bald, Reach: Eagle, RS: 70651.52

Warning: No geometry match found for Bald Eagle       Loc Hav          69567.33
River: Bald, Reach: Eagle, RS: 69567.33

Warning: No geometry match found for Bald Eagle       Loc Hav          68604.09
River: Bald, Reach: Eagle, RS: 68604.09

Warning: No geometry match found for Bald Eagle       Loc Hav          67326.78
River: Bald, Reach: Eagle, RS: 67326.78

Warning: No geometry match found for Bald Eagle       Loc Hav          66070.17
River: Bald, Reach: Eagle, RS: 66070.17

Warning: No geometry match found for Bald Eagle       Loc Hav          64908.02
River: Bald, Reach: Eagle, RS: 64908.02

Warning: No geometry match found for Bald Eagle       Loc Hav          63812.99
River: Bald, Reach: Eagle, RS: 63812.99

Warning: No geometry match found for Bald Eagle       Loc Hav          62746.41
River: Bald, Reach: Eagle, RS: 62746.41

Warning: No geometry match found for Bald Eagle       Loc Hav          61896.89
River: Bald, Reach: Eagle, RS: 61896.89

Warning: No geometry match found for Bald Eagle       Loc Hav          60901.09
River: Bald, Reach: Eagle, RS: 60901.09

Warning: No geometry match found for Bald Eagle       Loc Hav          59795.28
River: Bald, Reach: Eagle, RS: 59795.28

Warning: No geometry match found for Bald Eagle       Loc Hav          58836.23
River: Bald, Reach: Eagle, RS: 58836.23

Warning: No geometry match found for Bald Eagle       Loc Hav          58708.54
River: Bald, Reach: Eagle, RS: 58708.54

Warning: No geometry match found for Bald Eagle       Loc Hav          58091.91
River: Bald, Reach: Eagle, RS: 58091.91

Warning: No geometry match found for Bald Eagle       Loc Hav          57700.27
River: Bald, Reach: Eagle, RS: 57700.27

Warning: No geometry match found for Bald Eagle       Loc Hav          57250.60
River: Bald, Reach: Eagle, RS: 57250.60

Warning: No geometry match found for Bald Eagle       Loc Hav          56775.92
River: Bald, Reach: Eagle, RS: 56775.92

Warning: No geometry match found for Bald Eagle       Loc Hav          56243.79
River: Bald, Reach: Eagle, RS: 56243.79

Warning: No geometry match found for Bald Eagle       Loc Hav          55700.55
River: Bald, Reach: Eagle, RS: 55700.55

Warning: No geometry match found for Bald Eagle       Loc Hav          54696.51
River: Bald, Reach: Eagle, RS: 54696.51

Warning: No geometry match found for Bald Eagle       Loc Hav          53922.53
River: Bald, Reach: Eagle, RS: 53922.53

Warning: No geometry match found for Bald Eagle       Loc Hav          52879.19
River: Bald, Reach: Eagle, RS: 52879.19

Warning: No geometry match found for Bald Eagle       Loc Hav          51784.74
River: Bald, Reach: Eagle, RS: 51784.74

Warning: No geometry match found for Bald Eagle       Loc Hav          50720.68
River: Bald, Reach: Eagle, RS: 50720.68

Warning: No geometry match found for Bald Eagle       Loc Hav          49715.77
River: Bald, Reach: Eagle, RS: 49715.77

Warning: No geometry match found for Bald Eagle       Loc Hav          48965.94
River: Bald, Reach: Eagle, RS: 48965.94

Warning: No geometry match found for Bald Eagle       Loc Hav          48110.09
River: Bald, Reach: Eagle, RS: 48110.09

Warning: No geometry match found for Bald Eagle       Loc Hav          47453.14
River: Bald, Reach: Eagle, RS: 47453.14

Warning: No geometry match found for Bald Eagle       Loc Hav          46722.59
River: Bald, Reach: Eagle, RS: 46722.59

Warning: No geometry match found for Bald Eagle       Loc Hav          46310.48
River: Bald, Reach: Eagle, RS: 46310.48

Warning: No geometry match found for Bald Eagle       Loc Hav          45805.37
River: Bald, Reach: Eagle, RS: 45805.37

Warning: No geometry match found for Bald Eagle       Loc Hav          45233.89
River: Bald, Reach: Eagle, RS: 45233.89

Warning: No geometry match found for Bald Eagle       Loc Hav          44529.29
River: Bald, Reach: Eagle, RS: 44529.29

Warning: No geometry match found for Bald Eagle       Loc Hav          43919.30
River: Bald, Reach: Eagle, RS: 43919.30

Warning: No geometry match found for Bald Eagle       Loc Hav          42895.87
River: Bald, Reach: Eagle, RS: 42895.87

Warning: No geometry match found for Bald Eagle       Loc Hav          41806.43
River: Bald, Reach: Eagle, RS: 41806.43

Warning: No geometry match found for Bald Eagle       Loc Hav          40526.85
River: Bald, Reach: Eagle, RS: 40526.85

Warning: No geometry match found for Bald Eagle       Loc Hav          39499.37
River: Bald, Reach: Eagle, RS: 39499.37

Warning: No geometry match found for Bald Eagle       Loc Hav          38446.87
River: Bald, Reach: Eagle, RS: 38446.87

Warning: No geometry match found for Bald Eagle       Loc Hav          37962.54
River: Bald, Reach: Eagle, RS: 37962.54

Warning: No geometry match found for Bald Eagle       Loc Hav          37385.23
River: Bald, Reach: Eagle, RS: 37385.23

Warning: No geometry match found for Bald Eagle       Loc Hav          36769.88
River: Bald, Reach: Eagle, RS: 36769.88

Warning: No geometry match found for Bald Eagle       Loc Hav          36663.76
River: Bald, Reach: Eagle, RS: 36663.76

Warning: No geometry match found for Bald Eagle       Loc Hav          36339.56
River: Bald, Reach: Eagle, RS: 36339.56

Warning: No geometry match found for Bald Eagle       Loc Hav          35648.50
River: Bald, Reach: Eagle, RS: 35648.50

Warning: No geometry match found for Bald Eagle       Loc Hav          35072.37
River: Bald, Reach: Eagle, RS: 35072.37

Warning: No geometry match found for Bald Eagle       Loc Hav          34098.93
River: Bald, Reach: Eagle, RS: 34098.93

Warning: No geometry match found for Bald Eagle       Loc Hav          33498.68
River: Bald, Reach: Eagle, RS: 33498.68

Warning: No geometry match found for Bald Eagle       Loc Hav          32195.47
River: Bald, Reach: Eagle, RS: 32195.47

Warning: No geometry match found for Bald Eagle       Loc Hav          30878.12
River: Bald, Reach: Eagle, RS: 30878.12

Warning: No geometry match found for Bald Eagle       Loc Hav          29563.77
River: Bald, Reach: Eagle, RS: 29563.77

Warning: No geometry match found for Bald Eagle       Loc Hav          27226.40
River: Bald, Reach: Eagle, RS: 27226.40

Warning: No geometry match found for Bald Eagle       Loc Hav          25960.70
River: Bald, Reach: Eagle, RS: 25960.70

Warning: No geometry match found for Bald Eagle       Loc Hav          24843.25
River: Bald, Reach: Eagle, RS: 24843.25

Warning: No geometry match found for Bald Eagle       Loc Hav          24417.73
River: Bald, Reach: Eagle, RS: 24417.73

Warning: No geometry match found for Bald Eagle       Loc Hav          23872.06
River: Bald, Reach: Eagle, RS: 23872.06

Warning: No geometry match found for Bald Eagle       Loc Hav          23783.65
River: Bald, Reach: Eagle, RS: 23783.65

Warning: No geometry match found for Bald Eagle       Loc Hav          23384.79
River: Bald, Reach: Eagle, RS: 23384.79

Warning: No geometry match found for Bald Eagle       Loc Hav          22982.97
River: Bald, Reach: Eagle, RS: 22982.97

Warning: No geometry match found for Bald Eagle       Loc Hav          22386.15
River: Bald, Reach: Eagle, RS: 22386.15

Warning: No geometry match found for Bald Eagle       Loc Hav          21283.34
River: Bald, Reach: Eagle, RS: 21283.34

Warning: No geometry match found for Bald Eagle       Loc Hav          21199.93
River: Bald, Reach: Eagle, RS: 21199.93

Warning: No geometry match found for Bald Eagle       Loc Hav          20127.30
River: Bald, Reach: Eagle, RS: 20127.30

Warning: No geometry match found for Bald Eagle       Loc Hav          19036.24
River: Bald, Reach: Eagle, RS: 19036.24

Warning: No geometry match found for Bald Eagle       Loc Hav          18200.10
River: Bald, Reach: Eagle, RS: 18200.10

Warning: No geometry match found for Bald Eagle       Loc Hav          17549.23
River: Bald, Reach: Eagle, RS: 17549.23

Warning: No geometry match found for Bald Eagle       Loc Hav          16787.45
River: Bald, Reach: Eagle, RS: 16787.45

Warning: No geometry match found for Bald Eagle       Loc Hav          15407.88
River: Bald, Reach: Eagle, RS: 15407.88

Warning: No geometry match found for Bald Eagle       Loc Hav          14814.34
River: Bald, Reach: Eagle, RS: 14814.34

Warning: No geometry match found for Bald Eagle       Loc Hav          13326.74
River: Bald, Reach: Eagle, RS: 13326.74

Warning: No geometry match found for Bald Eagle       Loc Hav          12035.22
River: Bald, Reach: Eagle, RS: 12035.22

Warning: No geometry match found for Bald Eagle       Loc Hav          11865.80
River: Bald, Reach: Eagle, RS: 11865.80

Warning: No geometry match found for Bald Eagle       Loc Hav          11116.44
River: Bald, Reach: Eagle, RS: 11116.44

Warning: No geometry match found for Bald Eagle       Loc Hav          10995.73
River: Bald, Reach: Eagle, RS: 10995.73

Warning: No geometry match found for Bald Eagle       Loc Hav          10221.14
River: Bald, Reach: Eagle, RS: 10221.14

Warning: No geometry match found for Bald Eagle       Loc Hav          9258.941
River: Bald, Reach: Eagle, RS: 9258.941

Warning: No geometry match found for Bald Eagle       Loc Hav          8541.462
River: Bald, Reach: Eagle, RS: 8541.462

Warning: No geometry match found for Bald Eagle       Loc Hav          7936.130
River: Bald, Reach: Eagle, RS: 7936.130

Warning: No geometry match found for Bald Eagle       Loc Hav          6940.066
River: Bald, Reach: Eagle, RS: 6940.066

Warning: No geometry match found for Bald Eagle       Loc Hav          6267.489
River: Bald, Reach: Eagle, RS: 6267.489

Warning: No geometry match found for Bald Eagle       Loc Hav          5523.234
River: Bald, Reach: Eagle, RS: 5523.234

Warning: No geometry match found for Bald Eagle       Loc Hav          4293.710
River: Bald, Reach: Eagle, RS: 4293.710

Warning: No geometry match found for Bald Eagle       Loc Hav          3047.378
River: Bald, Reach: Eagle, RS: 3047.378

Warning: No geometry match found for Bald Eagle       Loc Hav          2731.142
River: Bald, Reach: Eagle, RS: 2731.142

Warning: No geometry match found for Bald Eagle       Loc Hav          2501.017
River: Bald, Reach: Eagle, RS: 2501.017

Warning: No geometry match found for Bald Eagle       Loc Hav          2371.827
River: Bald, Reach: Eagle, RS: 2371.827

Warning: No geometry match found for Bald Eagle       Loc Hav          1692.633
River: Bald, Reach: Eagle, RS: 1692.633

Warning: No geometry match found for Bald Eagle       Loc Hav          1212.855
River: Bald, Reach: Eagle, RS: 1212.855

Warning: No geometry match found for Bald Eagle       Loc Hav          659.942
River: Bald, Reach: Eagle, RS: 659.942

Number of cross sections processed: 0

Columns in xs_df: []

First row of xs_df:
(No cross sections matched)
No cross sections to plot - skipping

Python

# Get unsteady attributes as dataframe
results_unsteady_attrs = HdfResultsPlan.get_unsteady_info(plan_hdf_path)

Text Only

2026-01-12 00:29:26 - ras_commander.hdf.HdfResultsPlan - INFO - Using HDF file from direct string path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf
2026-01-12 00:29:26 - ras_commander.hdf.HdfResultsPlan - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf

Python

results_unsteady_attrs

	Plan Title	Program Name	Program Version	Project File Name	Project Title	Short ID	Simulation Time Window	Type of Run
0	Unsteady with Bridges and Dam	HEC-RAS - River Analysis System	HEC-RAS 6.6 September 2024	C:\Users\billk_clb\anaconda3\envs\rascmdr_pipt...	Bald Eagle Cr. for the WCDS Project	UnsteadyFlow	17Feb1999 2400 to 24Feb1999 0500	Unsteady Flow Analysis

Python

# Get unsteady summary attributes as dataframe
results_unsteady_summary_attrs = HdfResultsPlan.get_unsteady_summary(plan_hdf_path)

Text Only

2026-01-12 00:29:26 - ras_commander.hdf.HdfResultsPlan - INFO - Using HDF file from direct string path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf
2026-01-12 00:29:26 - ras_commander.hdf.HdfResultsPlan - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf

Python

results_unsteady_summary_attrs

	Computation Time DSS	Computation Time Total	Maximum WSEL Error	Maximum number of cores	Run Time Window	Solution	Time Solution Went Unstable	Time Stamp Solution Went Unstable
0	00:00:00	00:00:02	0.009995	1	12JAN2026 00:29:12 to 12JAN2026 00:29:14	Unsteady Finished Successfully	NaN	Not Applicable

Python

1D Cross Section Results as Xarray

Python

# Get cross section results timeseries as xarray dataset
xsec_results_xr = HdfResultsXsec.get_xsec_timeseries(plan_hdf_path)

Text Only

2026-01-12 00:29:26 - ras_commander.hdf.HdfResultsXsec - INFO - Using HDF file from direct string path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf
2026-01-12 00:29:26 - ras_commander.hdf.HdfResultsXsec - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf

Python

xsec_results_xr

<xarray.Dataset> Size: 587kB
Dimensions:                   (time: 150, cross_section: 178)
Coordinates:
  * time                      (time) datetime64[ns] 1kB 1999-02-18 ... 1999-0...
  * cross_section             (cross_section) <U42 30kB 'Bald Eagle       Loc...
    River                     (cross_section) <U10 7kB 'Bald Eagle' ... 'Bald...
    Reach                     (cross_section) <U7 5kB 'Loc Hav' ... 'Loc Hav'
    Station                   (cross_section) <U8 6kB '138154.4' ... '659.942'
    Name                      (cross_section) <U1 712B '' '' '' '' ... '' '' ''
    Maximum_Water_Surface     (cross_section) float32 712B 672.8 672.8 ... 561.4
    Maximum_Flow              (cross_section) float32 712B 5e+04 ... 2.543e+04
    Maximum_Channel_Velocity  (cross_section) float32 712B 11.81 8.031 ... 2.028
    Maximum_Velocity_Total    (cross_section) float32 712B 9.371 5.379 ... 1.632
    Maximum_Flow_Lateral      (cross_section) float32 712B 0.0 0.0 ... 0.0 0.0
Data variables:
    Water_Surface             (time, cross_section) float32 107kB 660.7 ... 5...
    Velocity_Total            (time, cross_section) float32 107kB 0.0 ... 1.227
    Velocity_Channel          (time, cross_section) float32 107kB 0.0 ... 1.286
    Flow_Lateral              (time, cross_section) float32 107kB 0.0 ... 0.0
    Flow                      (time, cross_section) float32 107kB 2e+03 ... 2...
Attributes:
    description:  Cross-section results extracted from HEC-RAS HDF file
    source_file:  C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-...

xarray.Dataset

• Dimensions:
  • time: 150
  • cross_section: 178
• Coordinates: (11)
  • time
    (time)
    datetime64[ns]
    1999-02-18 ... 1999-02-24T05:00:00

    array(['1999-02-18T00:00:00.000000000', '1999-02-18T01:00:00.000000000',
           '1999-02-18T02:00:00.000000000', '1999-02-18T03:00:00.000000000',
           '1999-02-18T04:00:00.000000000', '1999-02-18T05:00:00.000000000',
           '1999-02-18T06:00:00.000000000', '1999-02-18T07:00:00.000000000',
           '1999-02-18T08:00:00.000000000', '1999-02-18T09:00:00.000000000',
           '1999-02-18T10:00:00.000000000', '1999-02-18T11:00:00.000000000',
           '1999-02-18T12:00:00.000000000', '1999-02-18T13:00:00.000000000',
           '1999-02-18T14:00:00.000000000', '1999-02-18T15:00:00.000000000',
           '1999-02-18T16:00:00.000000000', '1999-02-18T17:00:00.000000000',
           '1999-02-18T18:00:00.000000000', '1999-02-18T19:00:00.000000000',
           '1999-02-18T20:00:00.000000000', '1999-02-18T21:00:00.000000000',
           '1999-02-18T22:00:00.000000000', '1999-02-18T23:00:00.000000000',
           '1999-02-19T00:00:00.000000000', '1999-02-19T01:00:00.000000000',
           '1999-02-19T02:00:00.000000000', '1999-02-19T03:00:00.000000000',
           '1999-02-19T04:00:00.000000000', '1999-02-19T05:00:00.000000000',
           '1999-02-19T06:00:00.000000000', '1999-02-19T07:00:00.000000000',
           '1999-02-19T08:00:00.000000000', '1999-02-19T09:00:00.000000000',
           '1999-02-19T10:00:00.000000000', '1999-02-19T11:00:00.000000000',
           '1999-02-19T12:00:00.000000000', '1999-02-19T13:00:00.000000000',
           '1999-02-19T14:00:00.000000000', '1999-02-19T15:00:00.000000000',
           '1999-02-19T16:00:00.000000000', '1999-02-19T17:00:00.000000000',
           '1999-02-19T18:00:00.000000000', '1999-02-19T19:00:00.000000000',
           '1999-02-19T20:00:00.000000000', '1999-02-19T21:00:00.000000000',
           '1999-02-19T22:00:00.000000000', '1999-02-19T23:00:00.000000000',
           '1999-02-20T00:00:00.000000000', '1999-02-20T01:00:00.000000000',
           '1999-02-20T02:00:00.000000000', '1999-02-20T03:00:00.000000000',
           '1999-02-20T04:00:00.000000000', '1999-02-20T05:00:00.000000000',
           '1999-02-20T06:00:00.000000000', '1999-02-20T07:00:00.000000000',
           '1999-02-20T08:00:00.000000000', '1999-02-20T09:00:00.000000000',
           '1999-02-20T10:00:00.000000000', '1999-02-20T11:00:00.000000000',
           '1999-02-20T12:00:00.000000000', '1999-02-20T13:00:00.000000000',
           '1999-02-20T14:00:00.000000000', '1999-02-20T15:00:00.000000000',
           '1999-02-20T16:00:00.000000000', '1999-02-20T17:00:00.000000000',
           '1999-02-20T18:00:00.000000000', '1999-02-20T19:00:00.000000000',
           '1999-02-20T20:00:00.000000000', '1999-02-20T21:00:00.000000000',
           '1999-02-20T22:00:00.000000000', '1999-02-20T23:00:00.000000000',
           '1999-02-21T00:00:00.000000000', '1999-02-21T01:00:00.000000000',
           '1999-02-21T02:00:00.000000000', '1999-02-21T03:00:00.000000000',
           '1999-02-21T04:00:00.000000000', '1999-02-21T05:00:00.000000000',
           '1999-02-21T06:00:00.000000000', '1999-02-21T07:00:00.000000000',
           '1999-02-21T08:00:00.000000000', '1999-02-21T09:00:00.000000000',
           '1999-02-21T10:00:00.000000000', '1999-02-21T11:00:00.000000000',
           '1999-02-21T12:00:00.000000000', '1999-02-21T13:00:00.000000000',
           '1999-02-21T14:00:00.000000000', '1999-02-21T15:00:00.000000000',
           '1999-02-21T16:00:00.000000000', '1999-02-21T17:00:00.000000000',
           '1999-02-21T18:00:00.000000000', '1999-02-21T19:00:00.000000000',
           '1999-02-21T20:00:00.000000000', '1999-02-21T21:00:00.000000000',
           '1999-02-21T22:00:00.000000000', '1999-02-21T23:00:00.000000000',
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           '1999-02-22T04:00:00.000000000', '1999-02-22T05:00:00.000000000',
           '1999-02-22T06:00:00.000000000', '1999-02-22T07:00:00.000000000',
           '1999-02-22T08:00:00.000000000', '1999-02-22T09:00:00.000000000',
           '1999-02-22T10:00:00.000000000', '1999-02-22T11:00:00.000000000',
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           '1999-02-22T14:00:00.000000000', '1999-02-22T15:00:00.000000000',
           '1999-02-22T16:00:00.000000000', '1999-02-22T17:00:00.000000000',
           '1999-02-22T18:00:00.000000000', '1999-02-22T19:00:00.000000000',
           '1999-02-22T20:00:00.000000000', '1999-02-22T21:00:00.000000000',
           '1999-02-22T22:00:00.000000000', '1999-02-22T23:00:00.000000000',
           '1999-02-23T00:00:00.000000000', '1999-02-23T01:00:00.000000000',
           '1999-02-23T02:00:00.000000000', '1999-02-23T03:00:00.000000000',
           '1999-02-23T04:00:00.000000000', '1999-02-23T05:00:00.000000000',
           '1999-02-23T06:00:00.000000000', '1999-02-23T07:00:00.000000000',
           '1999-02-23T08:00:00.000000000', '1999-02-23T09:00:00.000000000',
           '1999-02-23T10:00:00.000000000', '1999-02-23T11:00:00.000000000',
           '1999-02-23T12:00:00.000000000', '1999-02-23T13:00:00.000000000',
           '1999-02-23T14:00:00.000000000', '1999-02-23T15:00:00.000000000',
           '1999-02-23T16:00:00.000000000', '1999-02-23T17:00:00.000000000',
           '1999-02-23T18:00:00.000000000', '1999-02-23T19:00:00.000000000',
           '1999-02-23T20:00:00.000000000', '1999-02-23T21:00:00.000000000',
           '1999-02-23T22:00:00.000000000', '1999-02-23T23:00:00.000000000',
           '1999-02-24T00:00:00.000000000', '1999-02-24T01:00:00.000000000',
           '1999-02-24T02:00:00.000000000', '1999-02-24T03:00:00.000000000',
           '1999-02-24T04:00:00.000000000', '1999-02-24T05:00:00.000000000'],
          dtype='datetime64[ns]')

  • cross_section
    (cross_section)
    <U42
    'Bald Eagle Loc Hav ...

    array(['Bald Eagle       Loc Hav          138154.4',
           'Bald Eagle       Loc Hav          137690.8',
           'Bald Eagle       Loc Hav          137327.0',
           'Bald Eagle       Loc Hav          136564.9',
           'Bald Eagle       Loc Hav          136202.3',
           'Bald Eagle       Loc Hav          135591.4',
           'Bald Eagle       Loc Hav          135068.7',
           'Bald Eagle       Loc Hav          134487.2',
           'Bald Eagle       Loc Hav          133881.0',
           'Bald Eagle       Loc Hav          133446.1',
           'Bald Eagle       Loc Hav          132973.6',
           'Bald Eagle       Loc Hav          132363.8',
           'Bald Eagle       Loc Hav          131699.7',
           'Bald Eagle       Loc Hav          130997.6',
           'Bald Eagle       Loc Hav          130339.2',
           'Bald Eagle       Loc Hav          129627.5',
           'Bald Eagle       Loc Hav          128760.7',
           'Bald Eagle       Loc Hav          128280.7',
           'Bald Eagle       Loc Hav          127410.9',
           'Bald Eagle       Loc Hav          126741.0',
           'Bald Eagle       Loc Hav          126454.1',
           'Bald Eagle       Loc Hav          126062.6',
           'Bald Eagle       Loc Hav          125704.7',
           'Bald Eagle       Loc Hav          125091.9',
           'Bald Eagle       Loc Hav          124615.5',
           'Bald Eagle       Loc Hav          124025.0',
           'Bald Eagle       Loc Hav          123503.5',
           'Bald Eagle       Loc Hav          123123.6',
           'Bald Eagle       Loc Hav          122703.3',
           'Bald Eagle       Loc Hav          122190.8',
           'Bald Eagle       Loc Hav          121754.0',
           'Bald Eagle       Loc Hav          121394.1',
           'Bald Eagle       Loc Hav          120862.6',
           'Bald Eagle       Loc Hav          120421.4',
           'Bald Eagle       Loc Hav          119954.9',
           'Bald Eagle       Loc Hav          119473.8',
           'Bald Eagle       Loc Hav          118901.0',
           'Bald Eagle       Loc Hav          118300.5',
           'Bald Eagle       Loc Hav          117753.9',
           'Bald Eagle       Loc Hav          117180.8',
           'Bald Eagle       Loc Hav          116401.3',
           'Bald Eagle       Loc Hav          115584.2',
           'Bald Eagle       Loc Hav          114899.8',
           'Bald Eagle       Loc Hav          113985.6',
           'Bald Eagle       Loc Hav          112856.9',
           'Bald Eagle       Loc Hav          111971.0',
           'Bald Eagle       Loc Hav          110657.4',
           'Bald Eagle       Loc Hav          109659.9',
           'Bald Eagle       Loc Hav          108600.1',
           'Bald Eagle       Loc Hav          107333.6',
           'Bald Eagle       Loc Hav          106466.0',
           'Bald Eagle       Loc Hav          105178.6',
           'Bald Eagle       Loc Hav          104647.2',
           'Bald Eagle       Loc Hav          104195.0',
           'Bald Eagle       Loc Hav          103854.0',
           'Bald Eagle       Loc Hav          103369.7',
           'Bald Eagle       Loc Hav          103122.3',
           'Bald Eagle       Loc Hav          101440.3',
           'Bald Eagle       Loc Hav          100657.3',
           'Bald Eagle       Loc Hav          99452.75',
           'Bald Eagle       Loc Hav          98206.87',
           'Bald Eagle       Loc Hav          97607.35',
           'Bald Eagle       Loc Hav          96370.43',
           'Bald Eagle       Loc Hav          94560.01',
           'Bald Eagle       Loc Hav          93391.71',
           'Bald Eagle       Loc Hav          92011.85',
           'Bald Eagle       Loc Hav          91030.01',
           'Bald Eagle       Loc Hav          90096.99',
           'Bald Eagle       Loc Hav          89060.69',
           'Bald Eagle       Loc Hav          87861.14',
           'Bald Eagle       Loc Hav          86942.04',
           'Bald Eagle       Loc Hav          85569.53',
           'Bald Eagle       Loc Hav          84724.08',
           'Bald Eagle       Loc Hav          83563.41',
           'Bald Eagle       Loc Hav          82607.89',
           'Bald Eagle       Loc Hav          81849.41',
           'Bald Eagle       Loc Hav          81084.18',
           'Bald Eagle       Loc Hav          80500.50',
           'Bald Eagle       Loc Hav          79684.28',
           'Bald Eagle       Loc Hav          78627.87',
           'Bald Eagle       Loc Hav          76643.40',
           'Bald Eagle       Loc Hav          76002.96',
           'Bald Eagle       Loc Hav          75917.82',
           'Bald Eagle       Loc Hav          75616.14',
           'Bald Eagle       Loc Hav          74650.60',
           'Bald Eagle       Loc Hav          74207.96',
           'Bald Eagle       Loc Hav          73504.24',
           'Bald Eagle       Loc Hav          72303.68',
           'Bald Eagle       Loc Hav          71400.81',
           'Bald Eagle       Loc Hav          70651.52',
           'Bald Eagle       Loc Hav          69567.33',
           'Bald Eagle       Loc Hav          68604.09',
           'Bald Eagle       Loc Hav          67326.78',
           'Bald Eagle       Loc Hav          66070.17',
           'Bald Eagle       Loc Hav          64908.02',
           'Bald Eagle       Loc Hav          63812.99',
           'Bald Eagle       Loc Hav          62746.41',
           'Bald Eagle       Loc Hav          61896.89',
           'Bald Eagle       Loc Hav          60901.09',
           'Bald Eagle       Loc Hav          59795.28',
           'Bald Eagle       Loc Hav          58836.23',
           'Bald Eagle       Loc Hav          58708.54',
           'Bald Eagle       Loc Hav          58091.91',
           'Bald Eagle       Loc Hav          57700.27',
           'Bald Eagle       Loc Hav          57250.60',
           'Bald Eagle       Loc Hav          56775.92',
           'Bald Eagle       Loc Hav          56243.79',
           'Bald Eagle       Loc Hav          55700.55',
           'Bald Eagle       Loc Hav          54696.51',
           'Bald Eagle       Loc Hav          53922.53',
           'Bald Eagle       Loc Hav          52879.19',
           'Bald Eagle       Loc Hav          51784.74',
           'Bald Eagle       Loc Hav          50720.68',
           'Bald Eagle       Loc Hav          49715.77',
           'Bald Eagle       Loc Hav          48965.94',
           'Bald Eagle       Loc Hav          48110.09',
           'Bald Eagle       Loc Hav          47453.14',
           'Bald Eagle       Loc Hav          46722.59',
           'Bald Eagle       Loc Hav          46310.48',
           'Bald Eagle       Loc Hav          45805.37',
           'Bald Eagle       Loc Hav          45233.89',
           'Bald Eagle       Loc Hav          44529.29',
           'Bald Eagle       Loc Hav          43919.30',
           'Bald Eagle       Loc Hav          42895.87',
           'Bald Eagle       Loc Hav          41806.43',
           'Bald Eagle       Loc Hav          40526.85',
           'Bald Eagle       Loc Hav          39499.37',
           'Bald Eagle       Loc Hav          38446.87',
           'Bald Eagle       Loc Hav          37962.54',
           'Bald Eagle       Loc Hav          37385.23',
           'Bald Eagle       Loc Hav          36769.88',
           'Bald Eagle       Loc Hav          36663.76',
           'Bald Eagle       Loc Hav          36339.56',
           'Bald Eagle       Loc Hav          35648.50',
           'Bald Eagle       Loc Hav          35072.37',
           'Bald Eagle       Loc Hav          34098.93',
           'Bald Eagle       Loc Hav          33498.68',
           'Bald Eagle       Loc Hav          32195.47',
           'Bald Eagle       Loc Hav          30878.12',
           'Bald Eagle       Loc Hav          29563.77',
           'Bald Eagle       Loc Hav          27226.40',
           'Bald Eagle       Loc Hav          25960.70',
           'Bald Eagle       Loc Hav          24843.25',
           'Bald Eagle       Loc Hav          24417.73',
           'Bald Eagle       Loc Hav          23872.06',
           'Bald Eagle       Loc Hav          23783.65',
           'Bald Eagle       Loc Hav          23384.79',
           'Bald Eagle       Loc Hav          22982.97',
           'Bald Eagle       Loc Hav          22386.15',
           'Bald Eagle       Loc Hav          21283.34',
           'Bald Eagle       Loc Hav          21199.93',
           'Bald Eagle       Loc Hav          20127.30',
           'Bald Eagle       Loc Hav          19036.24',
           'Bald Eagle       Loc Hav          18200.10',
           'Bald Eagle       Loc Hav          17549.23',
           'Bald Eagle       Loc Hav          16787.45',
           'Bald Eagle       Loc Hav          15407.88',
           'Bald Eagle       Loc Hav          14814.34',
           'Bald Eagle       Loc Hav          13326.74',
           'Bald Eagle       Loc Hav          12035.22',
           'Bald Eagle       Loc Hav          11865.80',
           'Bald Eagle       Loc Hav          11116.44',
           'Bald Eagle       Loc Hav          10995.73',
           'Bald Eagle       Loc Hav          10221.14',
           'Bald Eagle       Loc Hav          9258.941',
           'Bald Eagle       Loc Hav          8541.462',
           'Bald Eagle       Loc Hav          7936.130',
           'Bald Eagle       Loc Hav          6940.066',
           'Bald Eagle       Loc Hav          6267.489',
           'Bald Eagle       Loc Hav          5523.234',
           'Bald Eagle       Loc Hav          4293.710',
           'Bald Eagle       Loc Hav          3047.378',
           'Bald Eagle       Loc Hav          2731.142',
           'Bald Eagle       Loc Hav          2501.017',
           'Bald Eagle       Loc Hav          2371.827',
           'Bald Eagle       Loc Hav          1692.633',
           'Bald Eagle       Loc Hav          1212.855',
           'Bald Eagle       Loc Hav          659.942'], dtype='<U42')

  • River
    (cross_section)
    <U10
    'Bald Eagle' ... 'Bald Eagle'

    array(['Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
    ...
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle', 'Bald Eagle', 'Bald Eagle',
           'Bald Eagle', 'Bald Eagle'], dtype='<U10')

  • Reach
    (cross_section)
    <U7
    'Loc Hav' 'Loc Hav' ... 'Loc Hav'

    array(['Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav',
           'Loc Hav', 'Loc Hav', 'Loc Hav', 'Loc Hav'], dtype='<U7')

  • Station
    (cross_section)
    <U8
    '138154.4' '137690.8' ... '659.942'

    array(['138154.4', '137690.8', '137327.0', '136564.9', '136202.3',
           '135591.4', '135068.7', '134487.2', '133881.0', '133446.1',
           '132973.6', '132363.8', '131699.7', '130997.6', '130339.2',
           '129627.5', '128760.7', '128280.7', '127410.9', '126741.0',
           '126454.1', '126062.6', '125704.7', '125091.9', '124615.5',
           '124025.0', '123503.5', '123123.6', '122703.3', '122190.8',
           '121754.0', '121394.1', '120862.6', '120421.4', '119954.9',
           '119473.8', '118901.0', '118300.5', '117753.9', '117180.8',
           '116401.3', '115584.2', '114899.8', '113985.6', '112856.9',
           '111971.0', '110657.4', '109659.9', '108600.1', '107333.6',
           '106466.0', '105178.6', '104647.2', '104195.0', '103854.0',
           '103369.7', '103122.3', '101440.3', '100657.3', '99452.75',
           '98206.87', '97607.35', '96370.43', '94560.01', '93391.71',
           '92011.85', '91030.01', '90096.99', '89060.69', '87861.14',
           '86942.04', '85569.53', '84724.08', '83563.41', '82607.89',
           '81849.41', '81084.18', '80500.50', '79684.28', '78627.87',
           '76643.40', '76002.96', '75917.82', '75616.14', '74650.60',
           '74207.96', '73504.24', '72303.68', '71400.81', '70651.52',
           '69567.33', '68604.09', '67326.78', '66070.17', '64908.02',
           '63812.99', '62746.41', '61896.89', '60901.09', '59795.28',
           '58836.23', '58708.54', '58091.91', '57700.27', '57250.60',
           '56775.92', '56243.79', '55700.55', '54696.51', '53922.53',
           '52879.19', '51784.74', '50720.68', '49715.77', '48965.94',
           '48110.09', '47453.14', '46722.59', '46310.48', '45805.37',
           '45233.89', '44529.29', '43919.30', '42895.87', '41806.43',
           '40526.85', '39499.37', '38446.87', '37962.54', '37385.23',
           '36769.88', '36663.76', '36339.56', '35648.50', '35072.37',
           '34098.93', '33498.68', '32195.47', '30878.12', '29563.77',
           '27226.40', '25960.70', '24843.25', '24417.73', '23872.06',
           '23783.65', '23384.79', '22982.97', '22386.15', '21283.34',
           '21199.93', '20127.30', '19036.24', '18200.10', '17549.23',
           '16787.45', '15407.88', '14814.34', '13326.74', '12035.22',
           '11865.80', '11116.44', '10995.73', '10221.14', '9258.941',
           '8541.462', '7936.130', '6940.066', '6267.489', '5523.234',
           '4293.710', '3047.378', '2731.142', '2501.017', '2371.827',
           '1692.633', '1212.855', '659.942'], dtype='<U8')

  • Name
    (cross_section)
    <U1
    '' '' '' '' '' ... '' '' '' '' ''

    array(['', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
           '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
           '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
           '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
           '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
           '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
           '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
           '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
           '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
           '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '',
           '', '', '', '', '', '', '', ''], dtype='<U1')

  • Maximum_Water_Surface
    (cross_section)
    float32
    672.8 672.8 672.3 ... 561.4 561.4

    array([672.8083 , 672.8004 , 672.3424 , 668.47003, 668.28735, 666.43463,
           665.97174, 664.9929 , 664.3654 , 663.7863 , 663.4393 , 662.7834 ,
           662.3831 , 662.1838 , 662.0982 , 662.05475, 662.03235, 662.0193 ,
           661.9989 , 661.9729 , 661.93274, 661.90784, 661.8983 , 661.8816 ,
           661.87445, 661.85974, 661.84784, 661.8398 , 661.83435, 661.8268 ,
           661.82056, 661.81445, 661.8078 , 661.7953 , 661.7858 , 661.7818 ,
           661.77625, 661.7683 , 661.77   , 661.77026, 661.77026, 661.7686 ,
           661.7675 , 661.766  , 661.7641 , 661.7637 , 661.7618 , 661.76013,
           661.759  , 661.7577 , 661.75696, 661.75665, 661.7556 , 661.7552 ,
           661.7551 , 661.75476, 661.7274 , 661.7263 , 661.726  , 661.7257 ,
           661.7258 , 661.7246 , 661.72516, 661.7246 , 661.7239 , 661.7231 ,
           661.7228 , 661.7231 , 661.72296, 661.72296, 661.72296, 661.723  ,
           661.72284, 661.7227 , 661.7226 , 661.72205, 604.08167, 599.2422 ,
           597.4992 , 596.6715 , 596.0833 , 595.93427, 593.03595, 592.6566 ,
           591.674  , 591.38635, 591.07404, 590.66473, 590.3238 , 589.70557,
           588.8316 , 588.29346, 587.5537 , 586.5371 , 585.5946 , 584.5524 ,
           583.773  , 583.3294 , 582.79364, 582.0991 , 580.4908 , 579.9498 ,
           579.6148 , 579.19116, 578.7775 , 578.2217 , 577.6919 , 577.2564 ,
           576.5222 , 575.6769 , 574.95483, 574.0744 , 573.30615, 573.0116 ,
           572.8154 , 572.3989 , 571.9822 , 571.54706, 571.3506 , 571.13275,
           570.9234 , 570.69257, 570.552  , 570.3475 , 570.15906, 569.98694,
           569.818  , 569.48126, 569.26605, 568.97125, 567.8343 , 566.7552 ,
           566.9668 , 566.60626, 566.3547 , 566.11206, 565.98395, 565.7672 ,
           565.63135, 565.5791 , 565.4534 , 565.4069 , 565.3439 , 565.3861 ,
           565.3372 , 565.3187 , 565.31177, 565.2976 , 565.2463 , 565.00037,
           564.1702 , 563.8402 , 563.35736, 563.33936, 563.2823 , 563.1139 ,
           562.80774, 562.5509 , 562.44135, 562.25354, 562.2246 , 562.12634,
           562.11804, 562.0936 , 562.0329 , 562.01575, 561.9913 , 561.9665 ,
           561.9507 , 561.922  , 561.86176, 561.6879 , 561.6132 , 561.66547,
           561.4566 , 561.4437 , 561.3974 , 561.3841 ], dtype=float32)

  • Maximum_Flow
    (cross_section)
    float32
    5e+04 5e+04 ... 2.544e+04 2.543e+04

    array([50000.   , 49999.277, 49998.5  , 49997.066, 49996.453, 49995.383,
           49993.965, 49991.86 , 49989.703, 49988.2  , 49986.496, 49983.85 ,
           49977.9  , 49954.79 , 49899.207, 49795.52 , 49609.223, 49447.14 ,
           49249.516, 49119.43 , 49068.586, 49010.36 , 48952.938, 48831.582,
           48708.812, 48528.707, 48358.484, 48222.14 , 48075.41 , 47900.918,
           47749.39 , 47628.062, 47448.   , 47297.816, 47158.82 , 46994.066,
           46761.207, 46470.016, 46217.26 , 45923.203, 45462.684, 44963.973,
           44539.453, 43936.227, 43165.91 , 42521.33 , 41583.336, 40817.547,
           39944.664, 38816.613, 37987.316, 36401.32 , 35719.547, 35249.113,
           34930.74 , 34291.89 , 34291.89 , 33771.758, 33561.688, 33210.51 ,
           32899.586, 32784.484, 32561.23 , 32202.996, 32080.018, 31951.734,
           31846.203, 31723.996, 31575.727, 31473.805, 31399.963, 31271.748,
           31185.617, 31150.838, 31135.432, 31121.82 , 31121.82 , 31121.781,
           31124.074, 31133.104, 31158.498, 31169.047, 31169.047, 31166.965,
           31157.941, 31152.197, 31138.895, 31107.584, 31083.654, 31052.768,
           31040.521, 31029.816, 31015.428, 30991.578, 30954.234, 30900.646,
           30873.102, 30862.662, 30848.908, 30833.71 , 30819.938, 30819.938,
           30809.865, 30802.389, 30794.752, 30787.105, 30775.686, 30761.396,
           30737.812, 30732.6  , 30722.518, 30704.746, 30680.564, 30650.115,
           30624.324, 30595.088, 30567.367, 30522.264, 30495.469, 30470.635,
           30447.299, 30431.75 , 30416.564, 30381.902, 30341.764, 30296.783,
           30260.576, 30230.283, 30220.078, 30210.379, 30197.227, 30197.227,
           30181.969, 30135.516, 30082.2  , 29930.46 , 29776.48 , 29410.33 ,
           28765.744, 28189.54 , 27075.262, 26511.098, 26108.732, 26025.361,
           25936.264, 25936.264, 25883.834, 25847.754, 25810.752, 25767.684,
           25767.684, 25745.574, 25734.588, 25722.477, 25709.617, 25694.47 ,
           25672.504, 25672.504, 25627.148, 25598.38 , 25598.38 , 25582.232,
           25580.06 , 25565.295, 25541.334, 25519.822, 25500.143, 25471.164,
           25465.271, 25459.174, 25450.379, 25444.848, 25444.848, 25443.414,
           25443.414, 25438.51 , 25435.498, 25433.014], dtype=float32)

  • Maximum_Channel_Velocity
    (cross_section)
    float32
    11.81 8.031 8.541 ... 2.336 2.028

    array([11.812503  ,  8.030786  ,  8.540562  , 14.872775  ,  9.507263  ,
           10.15815   ,  8.15286   ,  8.326727  ,  6.5999293 ,  8.17707   ,
            8.032947  , 11.198341  , 12.234627  ,  9.092922  ,  9.066477  ,
            7.2996836 ,  5.52664   ,  4.2732077 ,  4.7336273 ,  6.360224  ,
            8.949528  ,  8.6625805 ,  7.819408  ,  7.1476135 ,  5.96442   ,
            7.027773  ,  7.9283524 ,  6.9856853 ,  6.9036927 ,  6.7109795 ,
            6.4021783 ,  6.022167  ,  6.244061  ,  7.922783  ,  7.2741246 ,
            8.142959  ,  8.643781  ,  6.490202  ,  4.810386  ,  4.6272864 ,
            3.4918845 ,  3.499939  ,  3.8485544 ,  3.705069  ,  3.488256  ,
            3.3187995 ,  3.1255934 ,  3.8484316 ,  3.4325507 ,  3.8132203 ,
            2.751455  ,  2.6663818 ,  3.1957998 ,  3.6823099 ,  1.7051861 ,
            2.755944  ,  3.4311807 ,  3.175781  ,  2.4778259 ,  1.6806258 ,
            1.7250998 ,  3.3406339 ,  1.319027  ,  0.7363014 ,  0.6849868 ,
            0.65390813,  0.6586573 ,  0.4639212 ,  0.3787203 ,  0.2831529 ,
            0.21750925,  0.16331606,  0.17541765,  0.1781217 ,  0.18781568,
            1.1757871 , 22.750395  , 17.458902  ,  9.417131  ,  5.7179294 ,
            3.4995317 ,  7.7087145 , 11.000027  ,  6.953649  ,  6.182883  ,
            5.07461   ,  3.8712187 ,  3.6999774 ,  4.447293  ,  6.800979  ,
            6.0723934 ,  5.1347547 ,  5.1422505 ,  5.493057  ,  5.6197605 ,
            6.7890387 ,  4.7456946 ,  4.573099  ,  5.1624017 ,  5.6594324 ,
            8.989709  ,  8.608159  ,  6.001301  ,  7.6423187 ,  5.938177  ,
            7.3681517 ,  6.2022195 ,  6.0203    ,  7.3527746 ,  6.242222  ,
            5.710075  ,  6.692033  ,  5.4320927 ,  1.6642706 ,  3.7625532 ,
            4.2739825 ,  4.864594  ,  5.651308  ,  3.982407  ,  4.26651   ,
            3.969296  ,  3.794193  ,  2.8753169 ,  2.6231117 ,  2.2530284 ,
            2.2267153 ,  2.9188883 ,  4.152705  ,  4.242249  ,  4.800352  ,
            8.157108  , 10.09561   ,  5.7649264 ,  5.433866  ,  5.3056655 ,
            3.8368495 ,  4.240508  ,  5.19261   ,  2.843745  ,  3.9551861 ,
            5.113509  ,  3.1288211 ,  5.926397  ,  2.8478453 ,  6.3284593 ,
            6.3671126 ,  2.652883  ,  2.2874377 ,  3.386998  ,  4.021641  ,
            4.1725826 ,  4.998009  ,  5.8390512 ,  3.304601  ,  3.2443674 ,
            3.9661987 ,  4.5127673 ,  4.7167144 ,  3.2895782 ,  3.7422378 ,
            3.6811066 ,  4.2063427 ,  4.0659294 ,  3.5599651 ,  3.2822728 ,
            2.734432  ,  2.8866806 ,  2.9652953 ,  2.5404985 ,  2.5950058 ,
            2.8831353 ,  2.9464283 ,  2.9566255 ,  2.2759185 ,  2.2294524 ,
            1.8292217 ,  2.3363447 ,  2.028468  ], dtype=float32)

  • Maximum_Velocity_Total
    (cross_section)
    float32
    9.371 5.379 5.474 ... 1.75 1.632

    array([ 9.370882  ,  5.378739  ,  5.4739213 , 10.302147  ,  6.5563855 ,
            8.256271  ,  4.5479856 ,  4.816462  ,  4.2405076 ,  5.0173225 ,
            4.4982314 ,  6.294476  ,  5.8756742 ,  3.8685176 ,  3.5260816 ,
            3.2664635 ,  2.635425  ,  2.3568053 ,  2.9615119 ,  4.0881457 ,
            5.875006  ,  5.759664  ,  5.2508883 ,  4.8398633 ,  4.0419855 ,
            4.487019  ,  4.731657  ,  4.4276237 ,  4.1946855 ,  4.271055  ,
            4.094936  ,  3.9684198 ,  4.142448  ,  5.146757  ,  5.1324353 ,
            5.6123166 ,  5.8039    ,  5.404911  ,  4.810385  ,  4.627286  ,
            3.4660807 ,  3.4999385 ,  3.848554  ,  3.7050686 ,  3.4882555 ,
            3.318799  ,  3.082088  ,  3.3801436 ,  2.7474437 ,  2.6163874 ,
            1.9111421 ,  1.9766078 ,  3.0545475 ,  2.0234456 ,  1.705186  ,
            2.7559438 ,  3.43118   ,  3.17578   ,  2.4778254 ,  1.6806256 ,
            1.7250996 ,  3.3406327 ,  1.3190267 ,  0.73630136,  0.68498677,
            0.6539081 ,  0.65865725,  0.46392113,  0.37872028,  0.28315288,
            0.21750925,  0.1583678 ,  0.14584854,  0.14816245,  0.16084048,
            1.1757866 , 16.748856  , 17.328615  ,  4.6342516 ,  2.9558008 ,
            3.1937103 ,  7.300575  , 10.609156  ,  4.3381734 ,  3.5551865 ,
            3.1980283 ,  2.8524709 ,  2.3938735 ,  3.8771615 ,  3.1392934 ,
            3.078124  ,  2.4027638 ,  2.6997342 ,  3.380201  ,  3.5084925 ,
            4.1650133 ,  3.423207  ,  3.3413866 ,  3.7231731 ,  3.2602346 ,
            7.5418005 ,  7.686143  ,  2.7316341 ,  3.1450512 ,  3.075248  ,
            3.8727295 ,  2.6933932 ,  2.5596414 ,  2.5048485 ,  3.0271075 ,
            2.9439037 ,  2.8698235 ,  2.029665  ,  1.9004382 ,  2.0301003 ,
            3.798065  ,  3.5277047 ,  3.6240544 ,  2.5050428 ,  2.6771617 ,
            2.5283766 ,  2.5315018 ,  1.8790232 ,  1.7469782 ,  1.7027539 ,
            1.4129202 ,  1.6637251 ,  2.3999555 ,  2.8498418 ,  3.2474527 ,
            7.9681983 ,  9.923272  ,  3.1190367 ,  2.7628803 ,  2.8068283 ,
            1.761655  ,  1.9243454 ,  3.1915815 ,  1.7045172 ,  1.9503653 ,
            3.2319002 ,  2.6028209 ,  2.8480465 ,  2.556214  ,  6.3284574 ,
            6.3671107 ,  2.3514667 ,  1.8939488 ,  2.5823147 ,  4.02164   ,
            4.1725817 ,  4.998008  ,  5.8390493 ,  3.1381173 ,  2.8177044 ,
            3.9661977 ,  4.5127664 ,  4.7167134 ,  2.6954389 ,  3.728219  ,
            3.5556586 ,  4.150572  ,  3.98175   ,  3.0446649 ,  2.7210937 ,
            2.11038   ,  2.2648735 ,  2.8393662 ,  2.3162882 ,  2.3150601 ,
            2.628837  ,  2.946428  ,  2.9566252 ,  2.274775  ,  2.2150545 ,
            1.7221093 ,  1.7503667 ,  1.632491  ], dtype=float32)

  • Maximum_Flow_Lateral
    (cross_section)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
           0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
           0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
           0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
           0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
           0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
           0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
           0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
           0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
           0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
           0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)

• Data variables: (5)
  • Water_Surface
    (time, cross_section)
    float32
    660.7 660.0 659.6 ... 540.0 540.0

    array([[660.65106, 659.9728 , 659.5532 , ..., 537.6072 , 537.56915,
            537.5    ],
           [659.7748 , 658.98413, 658.6078 , ..., 537.6539 , 537.6162 ,
            537.5485 ],
           [660.21893, 659.48126, 659.07806, ..., 537.6845 , 537.6469 ,
            537.57965],
           ...,
           [659.8096 , 659.038  , 658.6679 , ..., 540.06116, 540.02844,
            539.9828 ],
           [659.7859 , 659.01276, 658.644  , ..., 540.0531 , 540.02045,
            539.9746 ],
           [659.7619 , 658.98883, 658.6214 , ..., 540.04645, 540.0138 ,
            539.96796]], shape=(150, 178), dtype=float32)

  • Velocity_Total
    (time, cross_section)
    float32
    0.0 0.0 0.0 ... 1.213 1.273 1.227

    array([[0.       , 0.       , 0.       , ..., 0.       , 0.       ,
            0.       ],
           [3.011383 , 2.7598977, 2.7094698, ..., 1.1087016, 1.1767557,
            1.3191748],
           [2.9495692, 2.6395888, 2.8449411, ..., 1.1100217, 1.1782002,
            1.3193275],
           ...,
           [2.9721663, 2.7413037, 2.7059624, ..., 1.2128596, 1.273654 ,
            1.2248881],
           [2.9774547, 2.7339072, 2.693955 , ..., 1.2126882, 1.2734915,
            1.2258528],
           [2.9768345, 2.7267766, 2.6824644, ..., 1.2125665, 1.2733645,
            1.2266811]], shape=(150, 178), dtype=float32)

  • Velocity_Channel
    (time, cross_section)
    float32
    0.0 0.0 0.0 ... 1.213 1.273 1.286

    array([[0.       , 0.       , 0.       , ..., 0.       , 0.       ,
            0.       ],
           [3.4043593, 2.977533 , 2.7850952, ..., 1.1087022, 1.1767564,
            1.3191756],
           [3.515353 , 3.1833253, 3.093695 , ..., 1.1100222, 1.178201 ,
            1.3193283],
           ...,
           [3.370551 , 2.9698584, 2.7867653, ..., 1.2128601, 1.2736545,
            1.284918 ],
           [3.368696 , 2.956161 , 2.7723553, ..., 1.2126887, 1.273492 ,
            1.2852883],
           [3.3626006, 2.9430385, 2.758582 , ..., 1.212567 , 1.273365 ,
            1.2856194]], shape=(150, 178), dtype=float32)

  • Flow_Lateral
    (time, cross_section)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(150, 178), dtype=float32)

  • Flow
    (time, cross_section)
    float32
    2e+03 2e+03 ... 2.987e+03 2.987e+03

    array([[2000.    , 2000.    , 2000.    , ..., 2000.    , 2000.    ,
            2000.    ],
           [1301.64  , 1293.2349, 1287.7917, ..., 2022.0946, 2020.7821,
            2019.1073],
           [1676.94  , 1654.9875, 1636.6017, ..., 2033.3081, 2032.6025,
            2031.6722],
           ...,
           [1308.57  , 1309.2905, 1309.6969, ..., 2992.1663, 2992.518 ,
            2993.1013],
           [1293.53  , 1294.1036, 1294.4808, ..., 2989.1624, 2989.4062,
            2989.8638],
           [1279.21  , 1279.7675, 1280.1305, ..., 2986.629 , 2986.827 ,
            2987.1833]], shape=(150, 178), dtype=float32)

• Indexes: (2)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['1999-02-18 00:00:00', '1999-02-18 01:00:00',
                   '1999-02-18 02:00:00', '1999-02-18 03:00:00',
                   '1999-02-18 04:00:00', '1999-02-18 05:00:00',
                   '1999-02-18 06:00:00', '1999-02-18 07:00:00',
                   '1999-02-18 08:00:00', '1999-02-18 09:00:00',
                   ...
                   '1999-02-23 20:00:00', '1999-02-23 21:00:00',
                   '1999-02-23 22:00:00', '1999-02-23 23:00:00',
                   '1999-02-24 00:00:00', '1999-02-24 01:00:00',
                   '1999-02-24 02:00:00', '1999-02-24 03:00:00',
                   '1999-02-24 04:00:00', '1999-02-24 05:00:00'],
                  dtype='datetime64[ns]', name='time', length=150, freq=None))

  • cross_section
    PandasIndex

    PandasIndex(Index(['Bald Eagle       Loc Hav          138154.4',
           'Bald Eagle       Loc Hav          137690.8',
           'Bald Eagle       Loc Hav          137327.0',
           'Bald Eagle       Loc Hav          136564.9',
           'Bald Eagle       Loc Hav          136202.3',
           'Bald Eagle       Loc Hav          135591.4',
           'Bald Eagle       Loc Hav          135068.7',
           'Bald Eagle       Loc Hav          134487.2',
           'Bald Eagle       Loc Hav          133881.0',
           'Bald Eagle       Loc Hav          133446.1',
           ...
           'Bald Eagle       Loc Hav          6267.489',
           'Bald Eagle       Loc Hav          5523.234',
           'Bald Eagle       Loc Hav          4293.710',
           'Bald Eagle       Loc Hav          3047.378',
           'Bald Eagle       Loc Hav          2731.142',
           'Bald Eagle       Loc Hav          2501.017',
           'Bald Eagle       Loc Hav          2371.827',
           'Bald Eagle       Loc Hav          1692.633',
           'Bald Eagle       Loc Hav          1212.855',
           'Bald Eagle       Loc Hav          659.942'],
          dtype='object', name='cross_section', length=178))

• Attributes: (2)

  description :

  Cross-section results extracted from HEC-RAS HDF file

  source_file :

  C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf

Python

# Print time series for specific cross section
# Select first cross section from the data dynamically
target_xs = xsec_results_xr.cross_section.values[0]

print("\nTime Series Data for Cross Section:", target_xs)
for var in ['Water_Surface', 'Velocity_Total', 'Velocity_Channel', 'Flow_Lateral', 'Flow']:
    print(f"\n{var}:")
    print(xsec_results_xr[var].sel(cross_section=target_xs).values[:5])  # Show first 5 values

# Create time series plots

if generate_plots:

    # Create a figure for each variable
    variables = ['Water_Surface', 'Velocity_Total', 'Velocity_Channel', 'Flow_Lateral', 'Flow']

    for var in variables:
        plt.figure(figsize=(10, 5))
        # Convert time values to datetime if needed
        time_values = pd.to_datetime(xsec_results_xr.time.values)
        values = xsec_results_xr[var].sel(cross_section=target_xs).values

        # Plot with explicit x and y values
        plt.plot(time_values, values, '-', linewidth=2)

        plt.title(f'{var} at {target_xs}')
        plt.xlabel('Time')
        plt.ylabel(var.replace('_', ' '))
        plt.grid(True)
        plt.xticks(rotation=45)
        plt.tight_layout()

        # Force display
        plt.draw()
        plt.pause(0.1)
        plt.show()

Text Only

Time Series Data for Cross Section: Bald Eagle       Loc Hav          138154.4

Water_Surface:
[660.65106 659.7748  660.21893 660.77985 661.3133 ]

Velocity_Total:
[0.        3.011383  2.9495692 2.9549372 3.069316 ]

Velocity_Channel:
[0.        3.4043593 3.515353  3.6983044 3.8560863]

Flow_Lateral:
[0. 0. 0. 0. 0.]

Flow:
[2000.   1301.64 1676.94 2199.12 2864.95]

Verification - Velocity

Data Quality Checks: - Value Range: Velocity typically 0-30 ft/s for natural channels - Physical Limits: Velocities > 50 ft/s may indicate modeling issues - Negative Values: Should be rare (may occur at structures) - Peak Timing: Should align with peak WSE and flow

Typical Velocity Ranges (U.S. units): - Low flow: 0-2 ft/s - Normal flow: 2-8 ft/s - High flow: 8-20 ft/s - Extreme flow: 20-30 ft/s - Values > 30 ft/s warrant investigation

Engineering Review: - Compare velocities to channel roughness assumptions - Check for erosion potential (v > 6 ft/s in erodible channels) - Verify peak velocities occur at expected locations

Verification - Velocity

Data Quality Checks: - Value Range: Velocity typically 0-30 ft/s for natural channels - Physical Limits: Velocities > 50 ft/s may indicate modeling issues - Negative Values: Should be rare (may occur at structures) - Peak Timing: Should align with peak WSE and flow

Typical Velocity Ranges (U.S. units): - Low flow: 0-2 ft/s - Normal flow: 2-8 ft/s - High flow: 8-20 ft/s - Extreme flow: 20-30 ft/s - Values > 30 ft/s warrant investigation

Engineering Review: - Compare velocities to channel roughness assumptions - Check for erosion potential (v > 6 ft/s in erodible channels) - Verify peak velocities occur at expected locations

---

Advanced HDF Data Extraction

This section focuses on directly accessing the HDF file from a jupyter notebook for use cases not directly supported by the RAS-Commander libary:

Python

# Extract Compute Messages using HdfResultsPlan
print("Extracting Compute Messages")

# Use the built-in function to extract computation messages from HDF
# This function automatically handles HDF extraction with fallback to .txt files if needed
compute_msgs = HdfResultsPlan.get_compute_messages(plan_number)

if compute_msgs:
    print("="*80)
    print("COMPUTATION MESSAGES")
    print("="*80)

    # Parse and display the messages in a readable format
    messages = compute_msgs.split('\r\n')

    # Display all messages with formatting
    for message in messages:
        if message.strip():  # Skip empty lines
            if ':' in message:
                # Format key-value pairs
                parts = message.split(':', 1)
                if len(parts) == 2:
                    key, value = parts
                    print(f"{key.strip():40} : {value.strip()}")
                else:
                    print(message)
            else:
                print(f"\n{message.strip()}")

    # Display computation summary table (if present)
    print("\n" + "="*80)
    print("COMPUTATION SUMMARY")
    print("="*80)
    summary_lines = [line for line in messages if 'Computation Task' in line or 'Computation Speed' in line]
    if summary_lines:
        for line in summary_lines:
            print(line)

    print("\n" + "="*80)
    print(f"Total message length: {len(compute_msgs)} characters")
    print("="*80)
else:
    print("No computation messages available for this plan.")
    print("\nNote: Computation messages are generated when HEC-RAS runs a plan.")
    print("If no messages are found, the plan may not have been computed yet.")

Text Only

2026-01-12 00:29:27 - ras_commander.hdf.HdfResultsPlan - INFO - Final validated file path: C:\Users\billk_clb\anaconda3\envs\rascmdr_piptest\Lib\site-packages\examples\example_projects\Balde Eagle Creek_10\BaldEagle.p01.hdf
2026-01-12 00:29:27 - ras_commander.hdf.HdfResultsPlan - INFO - Reading computation messages from HDF: BaldEagle.p01.hdf
2026-01-12 00:29:27 - ras_commander.hdf.HdfResultsPlan - INFO - Successfully extracted 1694 characters from HDF


Extracting Compute Messages
================================================================================
COMPUTATION MESSAGES
================================================================================
Plan                                     : 'Unsteady with Bridges and Dam' (BaldEagle.p01)
Simulation started at                    : 12Jan2026 12:27:55 AM

Writing Plan GIS Data...

Completed Writing Plan GIS Data

Writing Geometry...

Computing Bank Lines

Bank lines generated in 111 ms

Computing Edge Lines

Edge Lines generated in 43 ms

Computing XS Interpolation Surface

XS Interpolation Surface generated in 117 ms

Completed Writing Geometry

Writing Event Conditions ...

Completed Writing Event Condition Data

Geometric Preprocessor HEC-RAS 6.6 September 2024

Finished Processing Geometry

Performing Unsteady Flow Simulation  HEC-RAS 6.6 September 2024
Unsteady Input Summary                   :

1D Unsteady Finite Difference Numerical Solution
Overall Volume Accounting Error in Acre Feet : -29.5468461514
Overall Volume Accounting Error as percentage : 0.01407

Please review "Computational Log File" output for volume accounting details

Writing Results to DSS

Finished Unsteady Flow Simulation

Reading Unsteady Data for Post Process...

Completed Reading Unsteady Data for Post Process

Running Post Processor  HEC-RAS 6.6 September 2024

Finished Post Processing

Generating Time Series Post Process File ...
Writing 1D Data                          : Water-Surface
Writing 1D Data                          : Flow

Time Series Post Process file generated [102 ms]

Computations Summary
Computation Task    Time(hh                 : mm:ss)

Completing Geometry, Flow and Plan         1
Preprocessing Geometry      1             : 13

Unsteady Flow Computations         2

Post-Processing        7

Generating Time Series Post Process <1
Complete Process        1                   : 26

Computation Speed   Simulation/Runtime

Unsteady Flow Computations  197278x

Complete Process    6179x

================================================================================
COMPUTATION SUMMARY
================================================================================
Computation Task    Time(hh:mm:ss)
Computation Speed   Simulation/Runtime

================================================================================
Total message length: 1694 characters
================================================================================

Exploring HDF Datasets with HdfBase.get_dataset_info

This allows users to find HDF information that is not included in the ras-commander library. Find the path in HDFView and set the group_path below to explore the HDF datasets and attributes. Then, use the output to write your own function to extract the data.

Get HDF Paths with Properties (For Exploring HDF Files)

HdfBase.get_dataset_info(plan_number, group_path="/Geometry")

Use get_hdf5_dataset_info function to get dataset structure:

HdfBase.get_dataset_info(plan_hdf_path, "/Geometry/River Bank Lines/")

Use get_hdf5_dataset_info function to get Pipe Conduits data:

HdfBase.get_dataset_info(plan_hdf_path, "/Geometry/Structures")

Use get_hdf5_dataset_info function to get Pipe Conduits data:

HdfBase.get_dataset_info(plan_hdf_path, "/Results/Unsteady/Output/Output Blocks/Computation Block/Global/")

Use the get_hdf5_dataset_info function from HdfUtils to explore the Cross Sections structure in the geometry HDF file

print("\nExploring Cross Sections structure in geometry file:") print("HDF Base Path: /Geometry/Cross Sections ") HdfBase.get_dataset_info(geom_hdf_path, group_path='/Geometry/Cross Sections')

print("\n=== HDF5 File Structure ===\n") print(plan_hdf_path) HdfBase.get_dataset_info(plan_hdf_path, group_path='/Results/Unsteady/Output/Output Blocks/Base Output/Unsteady Time Series/Cross Sections')

For HDF datasets that are not supported by the RAS-Commadner library, provide the dataset path to HdfBase.get_dataset_info and provide the output to an LLM along with a relevent HDF* class(es) to generate new functions that extend the library's coverage.

Common 1D HDF Extraction Patterns

Pattern 1: Extract Maximum Values

Python

# Get maximum WSE at each cross section
max_wse = HdfResultsXsec.get_max_wse(plan_number, ras_object=ras)

# Typical use: Floodplain mapping, structure design

Pattern 2: Extract at Specific Time

Python

# Get results at peak flow time
peak_time_index = flow_df.idxmax().iloc[0]  # Index of peak flow
wse_at_peak = hdf.get_wse(time_index=peak_time_index)

# Typical use: Critical condition analysis

Pattern 3: Extract for Specific Reach

Python

# Filter to single river/reach
xs_list = ras.geometry.get_cross_sections(river="Bald Eagle", reach="Loc Hav")
wse_reach = wse_df[wse_df.index.isin(xs_list)]

# Typical use: Reach-specific analysis

Pattern 4: Time Series at Critical Location

Python

# Extract full time series at single cross section
critical_xs = "138154.4"  # River station
wse_ts = wse_df[critical_xs]

# Plot hydrograph
plt.plot(wse_df.index, wse_ts)
plt.xlabel('Time')
plt.ylabel('WSE (ft)')
plt.title(f'Water Surface Elevation at XS {critical_xs}')

Cross-References

• 2D Results: See 410_2d_hdf_data_extraction.ipynb for 2D mesh results
• Steady Flow: See 401_steady_flow_analysis.ipynb for steady flow profiles
• Breach Results: See 420_breach_results_extraction.ipynb for dam breach analysis
• Structure Results: See 411_2d_hdf_pipes_and_pumps.ipynb for hydraulic structure data

Common 1D HDF Extraction Patterns

Pattern 1: Extract Maximum Values

Python

# Get maximum WSE at each cross section
max_wse = HdfResultsXsec.get_max_wse(plan_number, ras_object=ras)

# Typical use: Floodplain mapping, structure design

Pattern 2: Extract at Specific Time

Python

# Get results at peak flow time
peak_time_index = flow_df.idxmax().iloc[0]  # Index of peak flow
wse_at_peak = hdf.get_wse(time_index=peak_time_index)

# Typical use: Critical condition analysis

Pattern 3: Extract for Specific Reach

Python

# Filter to single river/reach
xs_list = ras.geometry.get_cross_sections(river="Bald Eagle", reach="Loc Hav")
wse_reach = wse_df[wse_df.index.isin(xs_list)]

# Typical use: Reach-specific analysis

Pattern 4: Time Series at Critical Location

Python

# Extract full time series at single cross section
critical_xs = "138154.4"  # River station
wse_ts = wse_df[critical_xs]

# Plot hydrograph
plt.plot(wse_df.index, wse_ts)
plt.xlabel('Time')
plt.ylabel('WSE (ft)')
plt.title(f'Water Surface Elevation at XS {critical_xs}')

Cross-References

• 2D Results: See 410_2d_hdf_data_extraction.ipynb for 2D mesh results
• Steady Flow: See 401_steady_flow_analysis.ipynb for steady flow profiles
• Breach Results: See 420_breach_results_extraction.ipynb for dam breach analysis
• Structure Results: See 411_2d_hdf_pipes_and_pumps.ipynb for hydraulic structure data

Summary: 1D HDF Data Extraction Capabilities

This notebook demonstrated comprehensive 1D HDF data extraction:

Data Extraction

• Runtime and computation time data
• Geometry attributes and structures
• Cross sections with Manning's n, ineffective areas, elevations
• River centerlines, edge lines, and bank lines
• Plan parameters and volume accounting
• Unsteady time series results (WSE, flow, velocity)

Output Discovery Methods

• HdfBase.get_dataset_info() - Explore any HDF group/dataset structure
• ras.plan_df - View available plans and their HDF paths
• ras.boundaries_df - List boundary conditions
• HdfResultsPlan.get_compute_messages() - Extract computation messages

Key Patterns

1. Use plan number or HDF path interchangeably (decorator handles conversion)
2. Results returned as DataFrames, GeoDataFrames, or xarray for time series
3. Use HdfBase.get_dataset_info() to explore unsupported HDF paths