scipy.stats.mstats.

ks_2samp#

scipy.stats.mstats.ks_2samp(data1, data2, alternative='two-sided', method='auto')[source]#

Computes the Kolmogorov-Smirnov test on two samples.

Missing values in x and/or y are discarded.

Deprecated since version 2.0.0: scipy.stats.mstats.ks_2samp is deprecated as of SciPy 2.0.0 and will be removed, along with the scipy.stats.mstats namespace, in SciPy 2.4.0. For similar functionality, use scipy.stats.ks_2samp with MArray(s) instead of NumPy masked array(s).

Parameters:
data1array_like

First data set

data2array_like

Second data set

alternative{‘two-sided’, ‘less’, ‘greater’}, optional

Indicates the alternative hypothesis. Default is ‘two-sided’.

method{‘auto’, ‘exact’, ‘asymp’}, optional

Defines the method used for calculating the p-value. The following options are available (default is ‘auto’):

  • ‘auto’ : use ‘exact’ for small size arrays, ‘asymp’ for large

  • ‘exact’ : use approximation to exact distribution of test statistic

  • ‘asymp’ : use asymptotic distribution of test statistic

Returns:
dfloat

Value of the Kolmogorov Smirnov test

pfloat

Corresponding p-value.

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