scipy.stats.mstats.
ks_1samp#
- scipy.stats.mstats.ks_1samp(x, cdf, args=(), alternative='two-sided', method='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’. 
- 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.