numpy.core.defchararray.isalpha(a)

numpy.array_equiv(a1, a2)

Various windows

RandomState.weibull(a, size=None) Draw samples from a Weibull distribution. Draw samples from a 1-parameter

MaskedArray.__setitem__(indx, value)

dtype.names Ordered list of field names, or None if there are no fields. The names are ordered according

MaskedArray.cumprod(axis=None, dtype=None, out=None)

ndarray.byteswap(inplace) Swap the bytes of the array elements Toggle between low-endian and big-endian data representation

numpy.fromiter(iterable, dtype, count=-1) Create a new 1-dimensional array from an iterable object.

numpy.random.random_sample(size=None) Return random floats in the half-open interval [0.0, 1.0). Results