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| Created: | Sep 14, 2016 at 5:07 p.m. | |
| Last updated: | Oct 18, 2016 at 10 p.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 2983 |
| Downloads: | 256 |
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| Comments: | 1 comment |
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.
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This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
Chris Cox 7 years, 3 months ago
A few tips:
Reply- 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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