numpy.ma.shape(obj)

RandomState.logseries(p, size=None) Draw samples from a logarithmic series distribution. Samples are

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

numpy.array_split(ary, indices_or_sections, axis=0)

numpy.asarray(a, dtype=None, order=None)

numpy.polyder(p, m=1)

chararray.searchsorted(v, side='left', sorter=None) Find indices where elements of v should be

numpy.issubsctype(arg1, arg2)

numpy.fft.fft2(a, s=None, axes=(-2, -1), norm=None)

numpy.minimum(x1, x2[, out]) = Element-wise minimum of array elements. Compare two arrays and returns a new array containing