Thanks Olivier.
Chao
2011/10/7 Olivier Delalleau
> You can use numpy.isnan(array).sum()
>
> -=- Olivier
>
> 2011/10/7 Chao YUE
>
>> The data is read from a .mat file.
>>
>> 2011/10/7 Chao YUE
>>
>>> Dear all,
>>>
>>> I have an ndarray with dimension of 4X62500. is there anyway I can count
>>>
You can use numpy.isnan(array).sum()
-=- Olivier
2011/10/7 Chao YUE
> The data is read from a .mat file.
>
> 2011/10/7 Chao YUE
>
>> 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
>>
The data is read from a .mat file.
2011/10/7 Chao YUE
> 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
>
> --
>
> ***
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