Closed
Description
From the examples
Examples
--------
>>> x = np.ma.array(np.arange(8), mask=[0]*4 + [1]*4)
>>> np.ma.extras.median(x)
1.5
On CentOS 6 64 with a conda python and numpy 1.9.2
# python
Python 2.7.9 |Continuum Analytics, Inc.| (default, Mar 9 2015, 16:20:48)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2
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>>> import numpy as np
>>> np.__version__
'1.9.2'
>>> x = np.ma.array(np.arange(8), mask=[0]*4 + [1]*4)
>>> np.ma.extras.median(x)
masked_array(data = [1.5],
mask = [False],
fill_value = 1e+20)
In addition to not matching the Example, I think this is also inconsistent with the return type text and with the behavior of other masked aggregate functions (np.ma.mean) which seems to just return a np.float64 on the same x.