numpy.ma.masked_all_like()

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:

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 `arr` doesn?t have a shape attribute (i.e. not an ndarray)

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 arr doesn?t have a shape attribute (i.e. not an ndarray)

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)

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

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

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.ma.masked_all_like.html

doc_NumPy

2025-01-10 15:47:30

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