cf.Data.mask_invalid¶
- Data.mask_invalid(*args, **kwargs)[source]¶
Mask the array where invalid values occur (NaN or inf).
Deprecated at version 3.14.0. Use the method
masked_invalid
instead.See also
- Parameters:
- Returns:
Examples
>>> d = cf.Data([0, 1, 2]) >>> e = cf.Data([0, 2, 0]) >>> f = d / e >>> f <CF Data(3): [nan, 0.5, inf]> >>> f.mask_invalid() <CF Data(3): [--, 0.5, --]>