ndarray.__reduce__() For pickling.

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

MaskedArray.conj() Complex-conjugate all elements. Refer to numpy.conjugate for full documentation

generic.shape tuple of array dimensions

ndarray.max(axis=None, out=None) Return the maximum along a given axis. Refer to

ndarray.__iand__ x.__iand__(y) <==> x&=y

ndarray.min(axis=None, out=None, keepdims=False) Return the minimum along a given axis. Refer to

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

record.real real part of scalar

ndarray.strides Tuple of bytes to step in each dimension when traversing an array. The byte offset of element