numpy.ma.masked_all_like#

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

arrndarray: An array describing the shape and dtype of the required MaskedArray.

Returns

aMaskedArray: A masked array with all data masked.

Raises

AttributeError: If arr doesn’t have a shape attribute (i.e. not an ndarray)

See also

masked_all: Empty masked array with all elements masked.

Examples

>>> 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,
  dtype=float32)

The dtype of the masked array matches the dtype of arr.

>>> arr.dtype
dtype('float32')
>>> ma.masked_all_like(arr).dtype
dtype('float32')

numpy.ma.masked_all

numpy.ma.ones