bundles / scipy latest / scipy / stats / _mstats_basic / ks_2samp
function
scipy.stats._mstats_basic:ks_2samp
Signature
def ks_2samp ( data1 , data2 , alternative = two-sided , method = auto ) Summary
Computes the Kolmogorov-Smirnov test on two samples.
Extended Summary
Missing values in x and/or y are discarded.
Parameters
data1: array_likeFirst data set
data2: array_likeSecond data set
alternative: {'two-sided', 'less', 'greater'}, optionalIndicates the alternative hypothesis. Default is 'two-sided'.
method: {'auto', 'exact', 'asymp'}, optionalDefines 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
d: floatValue of the Kolmogorov Smirnov test
p: floatCorresponding p-value.
Aliases
-
scipy.stats._mstats_basic.ks_2samp