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Plot results from data-driven street flood severity models

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Created: Jul 13, 2018 at 6:53 p.m.
Last updated: Jul 13, 2018 at 7:25 p.m.
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Sharing Status: Public
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This is a Python script used to plot results from a street flood severity model. The script plots predicted flood reports against true flood reports and was originally used for making a plot for a Journal of Hydrology paper: The data files used to produce the plot for the paper are found in another HydroShare resource: For the script to work as is, the script has to be in the same directory as the data files and the files have to be named as follows: "poisson_[suffix]_train", "poisson_[suffix]_test", "rf_[suffix]_train", "rf_[suffix]_test". The "suffix" value should be the same as the suffix specified when using the R code that produces the data files. This code is also part of a HydroShare resource: The script is used as follows "python [suffix]".

Python version 2.7
Required matplotlib, pandas, and numpy

Subject Keywords


Related Resources

This resource belongs to the following collections:
Title Owners Sharing Status My Permission
Data-driven street flood severity modeling in Norfolk, Virginia USA 2010-2016 Jeff Sadler · Jonathan Goodall  Public &  Shareable Open Access

How to Cite

Sadler, J. (2018). Plot results from data-driven street flood severity models, HydroShare,

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


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