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| Created: | Apr 15, 2025 at 9:07 p.m. | |
| Last updated: | Apr 15, 2025 at 9:42 p.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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Abstract
This project presents a Python script that is designed to retrieve, process, and visualize streamflow data from the United States Geological Survey's National Water Information System. Using the dataretrieval and nwis packages, the code extracts daily streamflow records for a selected gaging site and employs pandas and matplotlib to generate a series of plots for hydrologic analysis. One plot focuses on the annual maximum, mean, and minimum streamflow for each year over the selected date range. Another plot shows the 95th, 75th, 25th, and 5th percentile values for each day of the year over the selected time period. The final plot displays the maximum, mean and minimum streamflow for each day of the year. A specific year can be added to compare the streamflow during that year to the historical values.
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| The content of this resource references | United States Geological Survey National Water Information System |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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