Return a binary (0 and 1) missing data mask of the data array.
The binary mask’s data array comprises dimensionless 32-bit integers and has 0 where the data array has missing data and 1 otherwise.
Returns: |
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Examples: |
>>> print f.mask.array
[[ True False True False]]
>>> b = f.binary_mask()
>>> print b.array
[[0 1 0 1]]