1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
|
import numpy as np
def allbadtonan(function):
"""
Wrapper of numpy's nansum etc.: for <=1.8, just return the function's
results. For >=1.9, any axes with all-nan values will have all-nan outputs
in the collapsed version
"""
def f(data, axis=None, keepdims=None):
if keepdims is None:
result = function(data, axis=axis)
else:
result = function(data, axis=axis, keepdims=keepdims)
if hasattr(result, '__len__'):
if axis is None:
if np.all(np.isnan(data)):
return np.nan
else:
return result
if keepdims is None:
nans = np.all(np.isnan(data), axis=axis)
else:
nans = np.all(np.isnan(data), axis=axis, keepdims=keepdims)
result[nans] = np.nan
return result
return f
|
