`numpy.ma.core:MaskedArray.reshape`

source: build-install/usr/lib/python3.14/site-packages/numpy/ma/core.py:4751

Signature

def reshape(self, *s, **kwargs)

Summary

Give a new shape to the array without changing its data.

Extended Summary

Returns a masked array containing the same data, but with a new shape. The result is a view on the original array; if this is not possible, a ValueError is raised.

Parameters

shape : int or tuple of ints: The new shape should be compatible with the original shape. If an integer is supplied, then the result will be a 1-D array of that length.
order : {'C', 'F'}, optional: Determines whether the array data should be viewed as in C (row-major) or FORTRAN (column-major) order.

Returns

reshaped_array : array: A new view on the array.

Notes

The reshaping operation cannot guarantee that a copy will not be made, to modify the shape in place, use a.shape = s

Examples

import numpy as np
x = np.ma.array([[1,2],[3,4]], mask=[1,0,0,1])
x
x = x.reshape((4,1))
x

Aliases

numpy.ma.MaskedArray.reshape