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Rating Curve Analysis Template - Jupyter Notebook


Authors: Chris Cox
Owners: Chris Cox · iUTAH Data Manager
Resource type:Generic
Created:Sep 14, 2016 at 5:07 p.m.
Last updated: Jan 17, 2017 at 7:13 p.m. by Chris Cox

Abstract

A template Jupyter Python (3) Notebook for analyzing discharge rating curve data. Data is imported from an excel file and analyzed following Herschy 2009. After an initial analysis, a least squares regression, is performed on the input data. Eventually it would be nice to implement a weighted regression based on uncertainties.

Subject Keywords

Discharge,Jupyter Notebook,Rating Curve,Python

How to cite

Cox, C. (2016). Rating Curve Analysis Template - Jupyter Notebook, HydroShare, http://www.hydroshare.org/resource/2a4f540b875b440ebdfbeeb6588ae7ae

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
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Comments

Chris Cox 1 year, 10 months ago

A few tips:
- You will need to create an excel file with a 'ToPython' tab (or change the code) and the following columns: Date/time, Discharge, Uncertainty, Elevation
-- The uncertainty is % and is used to plot error bars in the regression.
-- Date/time isn't really used...

- When you run a cell with a figure, you will need to "de-activate" the figure before running another cell with a figure. (There is a "power" button at the top of the figure).

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