A Jupyter notebook to access hydrological data from the United States Geological Survey (USGS) using a web service
| Authors: | Camilo Bastidas |
|---|---|
| Owners: | Camilo Bastidas |
| Resource type: | Composite Resource |
| Created: | Nov 26, 2018 at 9:12 p.m. |
| Last updated: | Nov 29, 2018 at 7:41 p.m. by Camilo Bastidas |
Abstract
This resource contains a Jupyter notebook that downloads and plot data from the United States Geological Survey (USGS) via a web-service and creates a plot that shows the data. In the example it will download data for the Mississippi River at Belle Chasse, LA. Station, parameter and dates can be changed to meet other requirements. Four lines are included in the plot; original data, daily mean, minimum and maximum. It uses Pandas and Matplotlib to process the data and generate the plot.
Subject Keywords
Python,StreamFlow,Data Visualization,Jupyter Notebook,USGS
How to cite
Bastidas, C. (2018). A Jupyter notebook to access hydrological data from the United States Geological Survey (USGS) using a web service, HydroShare, http://www.hydroshare.org/resource/f429b901931042bc86e78e3bdf0937cb
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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Authors
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| Name | Organization | Address | Phone | Author Identifiers |
|---|---|---|---|---|
| Camilo Bastidas | UTAH STATE UNIVERSITY |
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