This is documentation for an old release of NumPy (version 1.3.). Read this page in the documentation of the latest stable release (version > 1.17).
numpy.ma.make_mask¶
- numpy.ma.make_mask(m, copy=False, shrink=True, flag=None, dtype=<type 'numpy.bool_'>)¶
Return m as a mask, creating a copy if necessary or requested.
The function can accept any sequence of integers or nomask. Does not check that contents must be 0s and 1s.
Parameters: m : array_like
Potential mask.
copy : bool
Whether to return a copy of m (True) or m itself (False).
shrink : bool
Whether to shrink m to nomask if all its values are False.
dtype : dtype
Data-type of the output mask. By default, the output mask has a dtype of MaskType (bool). If the dtype is flexible, each field has a boolean dtype.
