numpy.load(file, mmap_mode=None, allow_pickle=True, fix_imports=True, encoding='ASCII')

recarray.dtype Data-type of the array?s elements.

numpy.linalg.cond(x, p=None)

numpy.polynomial.laguerre.laggrid3d(x, y, z, c)

ndarray.__int__() <==> int(x)

recarray.data Python buffer object pointing to the start of the array?s data.

matrix.clip(min=None, max=None, out=None) Return an array whose values are limited to [min, max]. One of max or

numpy.multiply(x1, x2[, out]) = Multiply arguments element-wise.

recarray.argpartition(kth, axis=-1, kind='introselect', order=None) Returns the indices that would partition this

chararray.item(*args) Copy an element of an array to a standard Python scalar and return it.