numpy.count_nonzero(a) Counts the number of non-zero values in the array a.

numpy.issubdtype(arg1, arg2)

numpy.polynomial.hermite_e.hermemulx(c)

chararray.zfill(width)

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

numpy.convolve(a, v, mode='full')

numpy.ma.masked_less(x, value, copy=True)

Note numpy.emath is a preferred alias for

numpy.sign(x[, out]) = Returns an element-wise indication of the sign of a number. The

numpy.ma.clump_masked(a)