ndarray.__getitem__ x.__getitem__(y) <==> x[y]

ndarray.compress(condition, axis=None, out=None) Return selected slices of this array along given axis. Refer to

ndarray.var(axis=None, dtype=None, out=None, ddof=0, keepdims=False) Returns the variance of the array elements, along given

ndarray.dot(b, out=None) Dot product of two arrays. Refer to

ndarray.__ilshift__ x.__ilshift__(y) <==> x<<=y

ndarray.__setitem__ x.__setitem__(i, y) <==> x[i]=y

ndarray.__floordiv__ x.__floordiv__(y) <==> x//y

ndarray.imag The imaginary part of the array. Examples >>>

ndarray.__copy__([order]) Return a copy of the array.

ndarray.ptp(axis=None, out=None) Peak to peak (maximum - minimum) value along a given axis. Refer to