Hi, I'm an error. x
Authors: Chris Cox
Owners: iUTAH Data Manager · Chris Cox
Resource type:Generic
Created:Sept. 14, 2016, 5:07 p.m.
Last updated: Jan. 17, 2017, 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

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/
CC-BY

Sharing status:

  • Public Resource  Public
  • Sharable Resource  Shareable

Content

Download All Content as Zipped BagIt Archive
Learn more about the Bagit archive format

Authors

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

Name Organization Address Phone
Chris Cox

Ratings

Be the first one to  +1 this.  (You need to be logged in to rate this.)

Comments

Chris Cox 10 months, 1 week 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).

Reply

Ratings

Be the first one to  +1 this.  (You need to be logged in to rate this.)

New Comment