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wradlib Documentation - Bitbucket

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<strong>wradlib</strong> <strong>Documentation</strong>, Release 0.1.1<br />

<strong>wradlib</strong>.verify.ErrorMetrics.spearman<br />

ErrorMetrics.spearman()<br />

Spearman rank correlation coefficient<br />

<strong>wradlib</strong>.verify.ErrorMetrics.sse<br />

ErrorMetrics.sse()<br />

Sum of Squared Errors<br />

all()<br />

corr()<br />

mas()<br />

meanerr()<br />

mse()<br />

nash()<br />

plot([ax, unit, maxval])<br />

pprint()<br />

r2()<br />

ratio()<br />

report([metrics, ax, unit, maxval])<br />

rmse()<br />

spearman()<br />

sse()<br />

Returns a dictionary of all error metrics<br />

Correlation coefficient<br />

Mean Absolute Error<br />

Mean Error<br />

Mean Squared Error<br />

Nash-Sutcliffe Efficiency<br />

Scatter plot of estimates vs observations<br />

Pretty prints a summary of error metrics<br />

Coefficient of determination<br />

Mean ratio between observed and estimated<br />

Pretty prints selected error metrics over a scatter plot<br />

Root Mean Squared Error<br />

Spearman rank correlation coefficient<br />

Sum of Squared Errors<br />

<strong>wradlib</strong>.verify.ErrorMetrics.all<br />

ErrorMetrics.all()<br />

Returns a dictionary of all error metrics<br />

<strong>wradlib</strong>.verify.ErrorMetrics.corr<br />

ErrorMetrics.corr()<br />

Correlation coefficient<br />

<strong>wradlib</strong>.verify.ErrorMetrics.mas<br />

ErrorMetrics.mas()<br />

Mean Absolute Error<br />

<strong>wradlib</strong>.verify.ErrorMetrics.meanerr<br />

ErrorMetrics.meanerr()<br />

Mean Error<br />

<strong>wradlib</strong>.verify.ErrorMetrics.mse<br />

ErrorMetrics.mse()<br />

Mean Squared Error<br />

82 Chapter 3. Library Reference

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