bundles / numpy 2.4.3 / numpy / ma / core / resize
function
numpy.ma.core:resize
source: /numpy/ma/core.py :7680
Signature
def resize ( x , new_shape ) Summary
Return a new masked array with the specified size and shape.
Extended Summary
This is the masked equivalent of the numpy.resize function. The new array is filled with repeated copies of x (in the order that the data are stored in memory). If x is masked, the new array will be masked, and the new mask will be a repetition of the old one.
Examples
import numpy as np import numpy.ma as ma a = ma.array([[1, 2] ,[3, 4]]) a[0, 1] = ma.masked a np.resize(a, (3, 3)) ma.resize(a, (3, 3))A MaskedArray is always returned, regardless of the input type.
a = np.array([[1, 2] ,[3, 4]]) ma.resize(a, (3, 3))
See also
- numpy.resize
Equivalent function in the top level NumPy module.
Aliases
-
numpy.ma.resize