📣 09/03/2024: The groundwater levels service has switched endpoints, and dataretrieval was updated accordingly in v1.0.10. Older versions using the discontinued endpoint will return 503 errors for nwis.get_gwlevels or the service='gwlevels' argument. Visit Water Data For the Nation for more information.
dataretrieval was created to simplify the process of loading hydrologic data into the Python environment.
Like the original R version dataRetrieval,
it is designed to retrieve the major data types of U.S. Geological Survey (USGS) hydrology
data that are available on the Web, as well as data from the Water
Quality Portal (WQP), which currently houses water quality data from the
Environmental Protection Agency (EPA), U.S. Department of Agriculture
(USDA), and USGS. Direct USGS data is obtained from a service called the
National Water Information System (NWIS).
Note that the python version is not a direct port of the original: it attempts to reproduce the functionality of the R package, though its organization and interface often differ.
If there's a hydrologic or environmental data portal that you'd like dataretrieval to work with, raise it as an issue.
Here's an example using dataretrieval to retrieve data from the National Water Information System (NWIS).
# first import the functions for downloading data from NWIS
import dataretrieval.nwis as nwis
# specify the USGS site code for which we want data.
site = '03339000'
# get instantaneous values (iv)
df = nwis.get_record(sites=site, service='iv', start='2017-12-31', end='2018-01-01')
# get water quality samples (qwdata)
df2 = nwis.get_record(sites=site, service='qwdata', start='2017-12-31', end='2018-01-01')
# get basic info about the site
df3 = nwis.get_record(sites=site, service='site')Services available from NWIS include:
- instantaneous values (iv)
- daily values (dv)
- statistics (stat)
- site info (site)
- discharge peaks (peaks)
- discharge measurements (measurements)
- water quality samples (qwdata)
To access the full functionality available from NWIS web services, nwis.get record appends any additional kwargs into the REST request. For example
nwis.get_record(sites='03339000', service='dv', start='2017-12-31', parameterCd='00060')will download daily data with the parameter code 00060 (discharge).
If you're connected to the USGS network, dataretrieval call pull from the internal (non-public) NWIS interface. Most dataretrieval functions pass kwargs directly to NWIS's REST API, which provides simple access to internal data; simply specify "access='3'". For example
nwis.get_record(sites='05404147',service='iv', start='2021-01-01', end='2021-3-01', access='3')More services and documentation to come!
dataretrieval can be installed using pip:
$ python3 -m pip install -U dataretrieval
or conda:
$ conda install -c conda-forge dataretrieval
More examples of use are include in demos.
Please report any bugs and enhancement ideas using the dataretrieval issue tracker:
https://github.com/USGS-python/dataretrieval/issues
Feel free to also ask questions on the tracker.
Any help in testing, development, documentation and other tasks is welcome. For more details, see the file CONTRIBUTING.md.
The Water Mission Area of the USGS supports the development and maintenance of dataretrieval
and most likely further into the future.
Resources are available primarily for maintenance and responding to user questions.
Priorities on the development of new features are determined by the dataretrieval development team.
This material is partially based upon work supported by the National Science Foundation (NSF) under award 1931297. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.
This software is preliminary or provisional and is subject to revision. It is being provided to meet the need for timely best science. The software has not received final approval by the U.S. Geological Survey (USGS). No warranty, expressed or implied, is made by the USGS or the U.S. Government as to the functionality of the software and related material nor shall the fact of release constitute any such warranty. The software is provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the software.
Hodson, T.O., Hariharan, J.A., Black, S., and Horsburgh, J.S., 2023, dataretrieval (Python): a Python package for discovering and retrieving water data available from U.S. federal hydrologic web services: U.S. Geological Survey software release, https://doi.org/10.5066/P94I5TX3.