ndarray.__setslice__ x.__setslice__(i, j, y) <==> x[i:j]=y Use of negative indices is not supported

Rationale Masked arrays are arrays that may have missing or invalid entries. The numpy.ma module provides a nearly work-alike replacement for numpy

numpy.concatenate((a1, a2, ...), axis=0) Join a sequence of arrays along an existing axis.

numpy.asanyarray(a, dtype=None, order=None)

matrix.resize(new_shape, refcheck=True) Change shape and size of array in-place.

chararray.encode(encoding=None, errors=None)

numpy.polynomial.laguerre.lagdomain = array([0, 1])

numpy.polynomial.chebyshev.chebmulx(c)

broadcast.index current index in broadcasted result Examples

class numpy.polynomial.chebyshev.Chebyshev(coef, domain=None, window=None)