rashdf 0.6.0

Read data from HEC-RAS HDF files.

rashdf

Read data from HEC-RAS HDF files.

Pronunciation: raz·aitch·dee·eff

Documentation

rashdf on ReadTheDocs

Install

$ pip install rashdf

Usage

RasGeomHdf and RasPlanHdf are extensions of h5py.File. They contain methods to export HEC-RAS model geometry as GeoDataFrame objects.

>>> from rashdf import RasGeomHdf
>>> geom_hdf = RasGeomHdf("path/to/rasmodel/Muncie.g04.hdf")
>>> mesh_cells = geom_hdf.mesh_cell_polygons()  # export a GeoDataFrame
>>> mesh_cells
             mesh_name  cell_id                                           geometry
0     2D Interior Area        0  POLYGON ((406025.000 1805015.237, 406025.000 1...
1     2D Interior Area        1  POLYGON ((406075.000 1805018.545, 406075.000 1...
2     2D Interior Area        2  POLYGON ((406075.000 1804975.000, 406075.000 1...
3     2D Interior Area        3  POLYGON ((406125.000 1804975.000, 406125.000 1...
4     2D Interior Area        4  POLYGON ((406175.000 1804975.000, 406175.000 1...
...                ...      ...                                                ...
5386  2D Interior Area     5386  POLYGON ((409163.402 1802463.621, 409175.000 1...
5387  2D Interior Area     5387  POLYGON ((409160.953 1802374.120, 409125.000 1...
5388  2D Interior Area     5388  POLYGON ((409163.402 1802463.621, 409161.906 1...
5389  2D Interior Area     5389  POLYGON ((409112.480 1802410.114, 409112.046 1...
5390  2D Interior Area     5390  POLYGON ((409112.480 1802410.114, 409063.039 1...
>>> mesh_cells.to_file("mucie-mesh-cell-polygons.shp")

Also, methods to extract certain HDF group attributes as dictionaries:

>>> from rashdf import RasPlanHdf
>>> with RasPlanHdf("path/to/rasmodel/Muncie.p04.hdf") as plan_hdf:
>>> results_unsteady_summary_attrs = plan_hdf.get_results_unsteady_summary_attrs()
>>> results_unsteady_summary_attrs
{'Computation Time DSS': datetime.timedelta(0),
'Computation Time Total': datetime.timedelta(seconds=23),
'Maximum WSEL Error': 0.0099277812987566,
'Maximum number of cores': 6,
'Run Time Window': [datetime.datetime(2024, 3, 27, 9, 31, 52),
datetime.datetime(2024, 3, 27, 9, 32, 15)],
'Solution': 'Unsteady Finished Successfully',
'Time Solution Went Unstable': None,
'Time Stamp Solution Went Unstable': 'Not Applicable'}

CLI

The rashdf command-line interface allows export directly to a variety of formats, enabled by GeoPandas.

$ rashdf <sub-command> <hdf-file> [<output-path>] [<options>]

CLI help:

$ rashdf --help

Print the output formats supported by pyorgio:

$ rashdf --pyogrio-drivers

Help for a specific subcommand:

$ rashdf mesh_cell_polygons --help

Example: export mesh cell faces to an ESRI Shapefile

$ rashdf mesh_cell_faces BigRiver.g01.hdf big-river-mesh-cell-faces.shp

Example: export mesh cell points to GeoParquet

$ rashdf mesh_cell_points LittleCreek.g01.hdf --parquet little-creek-mesh-cell-points.parquet

Example: export breaklines to OGC GeoPackage and reproject to a different CRS

$ rashdf breaklines Whitemarsh.p01.hdf whitemarsh-breaklines.gpkg --to-crs EPSG:4326

Example: write structures GeoJSON to stdout:

$ rashdf structures Potomac.p01.hdf

Developer Setup

Create a virtual environment in the project directory:

$ python -m venv venv-rashdf

Activate the virtual environment:

$ source ./venv/bin/activate
(venv-rashdf) $

Install dev dependencies:

(venv-rashdf) $ pip install ".[dev]"

Install git hook scripts (used for automatic liniting/formatting)

(venv-rashdf) $ pre-commit install

With the virtual environment activated, run the tests:

(venv-rashdf) $ pytest