numpy.ma.masked_all¶
- numpy.ma.masked_all(shape, dtype=<type 'float'>)[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 - 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')