MaskedArray.resize(newshape, refcheck=True, order=False)

numpy.polynomial.chebyshev.chebmul(c1, c2)

numpy.lookfor(what, module=None, import_modules=True, regenerate=False, output=None)

numpy.log1p(x[, out]) = Return the natural logarithm of one plus the input array, element-wise. Calculates log(1 + x)

numpy.nan_to_num(x)

numpy.cos(x[, out]) = Cosine element-wise.

numpy.cosh(x[, out]) = Hyperbolic cosine, element-wise. Equivalent to 1/2 * (np.exp(x) + np.exp(-x)) and np

chararray.imag The imaginary part of the array. Examples

class numpy.broadcast

numpy.logical_or(x1, x2[, out]) = Compute the truth value of x1 OR x2 element-wise.