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numpy.ma.masked_all(shape, dtype=)
[source] -
Empty masked array with all elements masked.
Return an empty masked array of the given shape and dtype, where all the data are masked.
Parameters: shape : tuple
Shape of the required MaskedArray.
dtype : dtype, optional
Data type of the output.
Returns: a : MaskedArray
A masked array with all data masked.
See also
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masked_all_like
- Empty masked array modelled on an existing array.
Examples
>>> import numpy.ma as ma >>> ma.masked_all((3, 3)) masked_array(data = [[-- -- --] [-- -- --] [-- -- --]], mask = [[ True True True] [ True True True] [ True True True]], fill_value=1e+20)
The
dtype
parameter defines the underlying data type.>>> a = ma.masked_all((3, 3)) >>> a.dtype dtype('float64') >>> a = ma.masked_all((3, 3), dtype=np.int32) >>> a.dtype dtype('int32')
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numpy.ma.masked_all()
2017-01-10 18:15:31
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