numpy.atleast_1d(*arys)

chararray.squeeze(axis=None) Remove single-dimensional entries from the shape of a.

numpy.modf(x[, out1, out2]) = Return the fractional and integral parts of an array, element-wise. The fractional and integral

numpy.polynomial.chebyshev.chebpow(c, pow, maxpower=16)

numpy.polynomial.hermite_e.hermeweight(x)

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

ndarray.tolist() Return the array as a (possibly nested) list. Return a copy of the array data as a (nested) Python

RandomState.standard_exponential(size=None) Draw samples from the standard exponential distribution

numpy.array2string(a, max_line_width=None, precision=None, suppress_small=None, separator=' ', prefix='', style=, formatter=None)

numpy.array_str(a, max_line_width=None, precision=None, suppress_small=None)