hf-hydrodata 0.9.27

hydroframe tools and utilities

hf_hydrodata

Tools and utility to access data in the hydrodata hydrology file share.

Installation

You can install the python package with the API to access files using pip with::


    pip install git+https://github.com/hydroframe/hf_hydrodata.git

Usage

from hf_hydrodata.data_access import get_numpy_data

filters = ["dataset":"NLDAS2", "variable":"precipitation", period="daily", "start_time": "2005-03-01", "file_type": "pfb"]
data = get_numpy_data(filters)
print(data.shape)

# Get the metadata about the returned data
emtry = get_data_catalog_entry(filters)
print(entry)

Build Instructions

To build the component you must have a python virtual environment containing the required components. Install the required components with:

pip install -r requirements.txt

Edit the python components in src/hf_hydrodata and the unit tests in tests/hf_hydrodata and the data catalog model CSV files in src/hf_hydrodata/model. Use Excel to edit the CSV files so that files are saved in standard CSV format.

Generate the documentation with:

cd build_docs
bash build.sh

This will validate the model CSV files and generate the read-the-docs html into deploy_docs folder. After committing to the main branch the CI/CD job will copy the deploy_docs folder to the public website for the documentation.

License

hydroframe was created by William M. Hasling, Laura Cosondon, Reed Maxwell, George Artavanis, Will Lytle, Amy M. Johnson, Amy C. Defnet. It is licensed under the terms of the MIT license.