MaskedArray.__imod__ x.__imod__(y) <==> x%=y

Index.all(*args, **kwargs)

numpy.nanmedian(a, axis=None, out=None, overwrite_input=False, keepdims=False)

statsmodels.stats.proportion.binom_test statsmodels.stats.proportion

statsmodels.sandbox.stats.runs.Runs.runs_test Runs.run

statsmodels.stats.power.FTestPower class statsmodels.stats.power.FTestPower(**kwds)

statsmodels.discrete.discrete_model.LogitResults.tvalues

chararray.sort(axis=-1, kind='quicksort', order=None) Sort an array, in-place.

normalize(context=None) Normalize the number by stripping the rightmost trailing zeros and converting any result equal to

curses.is_term_resized(nlines, ncols) Return True if resize_term() would modify the window structure