numpy.ma.masked_all_like(arr)
[source]
Empty masked array with the properties of an existing array.
Return an empty masked array of the same shape and dtype as the array arr
, where all the data are masked.
Parameters: |
arr : ndarray An array describing the shape and dtype of the required MaskedArray. |
---|---|
Returns: |
a : MaskedArray A masked array with all data masked. |
Raises: |
AttributeError If |
See also
masked_all
>>> import numpy.ma as ma >>> arr = np.zeros((2, 3), dtype=np.float32) >>> arr array([[ 0., 0., 0.], [ 0., 0., 0.]], dtype=float32) >>> ma.masked_all_like(arr) masked_array(data = [[-- -- --] [-- -- --]], mask = [[ True True True] [ True True True]], fill_value=1e+20)
The dtype of the masked array matches the dtype of arr
.
>>> arr.dtype dtype('float32') >>> ma.masked_all_like(arr).dtype dtype('float32')
© 2008–2017 NumPy Developers
Licensed under the NumPy License.
https://docs.scipy.org/doc/numpy-1.12.0/reference/generated/numpy.ma.masked_all_like.html