A portal to hydrology and climatology databases in Python
Project description
hydrodata is an open source project and Python package designed to aid in watershed analysis. Hydrodata is capable of downloading, preprocessing, and visualizing climatological, hydrological, and geographical datasets pertaining to a given watershed. Supported datasets include: Daymet climate, USGS streamflow, NLCD land use, land cover, NHDPlus V2 though NLDI, OpenTopography DEM, and actual EvapoTranspiration data through SSEBopwith with further additions planned.
Why Hydrodata?
Hydordata provides a unified interface to access various databases with the minimum input data required. With just specifying a coordinate or a geometry in the US and data range all the supported databases can be accessed. The point data are returned as a Pandas dataframe and the gridded data are returned as xarray DataArrays.
Learn more
Documentation: https://hydrodata.readthedocs.io/en/latest/
Issue tracker: http://github.com/cheginit/hydrodata/issues
Source code: http://github.com/cheginit/hydrodata
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file hydrodata-0.5.2.tar.gz.
File metadata
- Download URL: hydrodata-0.5.2.tar.gz
- Upload date:
- Size: 5.8 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3.post20200325 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
53838f0fad9fd18a39f1a8e28ba8609b2881ab0b6b572ac922da920e0f8ebe4f
|
|
| MD5 |
de6a93664246b0602755b78e3ebf046a
|
|
| BLAKE2b-256 |
8fc1ad33996491fadd98e45f1b207b953299805cd3eeb91b4d4a52c8737c209a
|
File details
Details for the file hydrodata-0.5.2-py2.py3-none-any.whl.
File metadata
- Download URL: hydrodata-0.5.2-py2.py3-none-any.whl
- Upload date:
- Size: 37.4 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3.post20200325 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
66dc04abe8a530a43710278d790f46292c9af4116546bfbfc1f86c6d2008e49b
|
|
| MD5 |
d81021b0c2ada5cd1d74abd7970b697a
|
|
| BLAKE2b-256 |
8ce80d7b8505bf856c0e91c85caf5ad0035c55fa3b9d4b630085776b2be0969f
|
