statsmodels.stats.weightstats.CompareMeans.from_data#

classmethod CompareMeans.from_data(data1, data2, weights1=None, weights2=None, ddof1=0, ddof2=0)[source]#

construct a CompareMeans object from data

Parameters:

data1, data2array_like, 1-D or 2-D: compared datasets
weights1, weights2array_like, optional: weights for each observation of data1 and data2 respectively, with same length as zero axis of corresponding dataset.
ddof1, ddof2int or float, optional: default ddof1=0, ddof2=0, degrees of freedom for data1, data2 respectively.

Returns: