[Numpy-discussion] how to count Nan occurrence in a ndarray?

Chao YUE chaoyuejoy@gmail....
Fri Oct 7 07:38:52 CDT 2011


Thanks Olivier.

Chao

2011/10/7 Olivier Delalleau <shish@keba.be>

> You can use numpy.isnan(array).sum()
>
> -=- Olivier
>
> 2011/10/7 Chao YUE <chaoyuejoy@gmail.com>
>
>> The data is read from a .mat file.
>>
>> 2011/10/7 Chao YUE <chaoyuejoy@gmail.com>
>>
>>> Dear all,
>>>
>>> I have an ndarray with dimension of 4X62500. is there anyway I can count
>>> the number of missing value (NaN)? because I want to know how many
>>> observations are missing?
>>>
>>> Thanks for any idea,
>>>
>>> Chao
>>>
>>> --
>>>
>>> ***********************************************************************************
>>> Chao YUE
>>> Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
>>> UMR 1572 CEA-CNRS-UVSQ
>>> Batiment 712 - Pe 119
>>> 91191 GIF Sur YVETTE Cedex
>>> Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
>>>
>>> ************************************************************************************
>>>
>>>
>>
>>
>> --
>>
>> ***********************************************************************************
>> Chao YUE
>> Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
>> UMR 1572 CEA-CNRS-UVSQ
>> Batiment 712 - Pe 119
>> 91191 GIF Sur YVETTE Cedex
>> Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
>>
>> ************************************************************************************
>>
>>
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>>
>
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-- 
***********************************************************************************
Chao YUE
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
UMR 1572 CEA-CNRS-UVSQ
Batiment 712 - Pe 119
91191 GIF Sur YVETTE Cedex
Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
************************************************************************************
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