numpy.cov(m, y=None, rowvar=True, bias=False, ddof=None, fweights=None, aweights=None)

numpy.mean(a, axis=None, dtype=None, out=None, keepdims=False)

numpy.nanpercentile(a, q, axis=None, out=None, overwrite_input=False, interpolation='linear', keepdims=False)

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

numpy.correlate(a, v, mode='valid')

numpy.average(a, axis=None, weights=None, returned=False)

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

numpy.nanmean(a, axis=None, dtype=None, out=None, keepdims=False)

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

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