cf.Data.maximum_absolute_value

Data.maximum_absolute_value(axes=None, squeeze=False, mtol=1, inplace=False, _preserve_partitions=False)[source]

Collapse axes with their maximum absolute value.

Missing data elements are omitted from the calculation.

See also

max, min, mean, mid_range, sum, sd, var

Parameters:
axes : (sequence of) int, optional

TODO

squeeze : bool, optional

TODO

inplace: bool, optional

If True then do the operation in-place and return None.
Returns:
Data or None

The collapsed data, or None if the operation was in-place.

Examples:

>>> d = cf.Data([[-1, 2, 3], [9, -8, -12]], 'm')                              
>>> d.maximum_absolute_value()                                             
<CF Data(1, 1): [[12]] m>
>>> d.max()                                                                 
<CF Data(1, 1): [[9]] m>
>>> d.maximum_absolute_value(axes=1)                                       
<CF Data(2, 1): [[3, 12]] m>    
>>> d.max(axes=1)                                                          
<CF Data(2, 1): [[3, 9]] m>