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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/
CC-BY

Sharing status:

  • Public Resource  Public
  • Sharable Resource  Shareable

Content

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Authors

The people or organizations that created the intellectual content of the resource.

Name Organization Address Phone Author Identifiers
Camilo Bastidas UTAH STATE UNIVERSITY

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