[SciPy-user] calculate average by excluding NaN value in Array
josef.pktd@gmai...
josef.pktd@gmai...
Mon Mar 30 07:46:38 CDT 2009
On Mon, Mar 30, 2009 at 6:44 AM, David Cournapeau
<david@ar.media.kyoto-u.ac.jp> wrote:
> David Cournapeau wrote:
>> Ch B Komaki wrote:
>>
>>> Dear Sirs/Madams
>>> I wanna calculate average of some lists, but having Nan value makes
>>> difficult to calculate average of data , I wanna exclude the position
>>> has NaN.It should calculate average of the others instead ;
>>> for example;
>>>
>>>
>>
>> nanmean should do what you want,
>>
>>
>
> which is in scipy.stats:
>
> import numpy as np
> from scipy.stats import nanmean
>
> nanmean(np.array([1, 2, 3, np.nan])) # should return 2.
>
> David
If you need to do more work with arrays that have nans or missing
values, then using masked arrays is more convenient and powerful.
e.g. numpy.ma.mean
help(numpy.ma)
Josef
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