wradlib Documentation - Bitbucket
wradlib Documentation - Bitbucket
wradlib Documentation - Bitbucket
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<strong>wradlib</strong> <strong>Documentation</strong>, Release 0.1.1<br />
>>> metrics.plot()<br />
>>> metrics.report()<br />
Methods<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 />
80 Chapter 3. Library Reference