scipy.stats.mstats.ks_1samp¶
- scipy.stats.mstats.ks_1samp(x, cdf, args=(), alternative='two-sided', mode='auto')[source]¶
Computes the Kolmogorov-Smirnov test on one sample of masked values.
Missing values in x are discarded.
- Parameters
- xarray_like
a 1-D array of observations of random variables.
- cdfstr or callable
If a string, it should be the name of a distribution in
scipy.stats. If a callable, that callable is used to calculate the cdf.- argstuple, sequence, optional
Distribution parameters, used if cdf is a string.
- alternative{‘two-sided’, ‘less’, ‘greater’}, optional
Indicates the alternative hypothesis. Default is ‘two-sided’.
- mode{‘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.