On Tue, May 20, 2008 at 6:12 PM, David Cournapeau
<[EMAIL PROTECTED]> wrote:
> Keith Goodman wrote:
>> Or
>>
>> np.nansum(a) / np.isfinite(a).sum()
>>
>> A nanmean would be nice to have in numpy.
>>
>
> nanmean, nanstd and nanmedian are available in scipy, though.
Thanks for pointing that out. Stu
Keith Goodman wrote:
> Or
>
> np.nansum(a) / np.isfinite(a).sum()
>
> A nanmean would be nice to have in numpy.
>
nanmean, nanstd and nanmedian are available in scipy, though.
cheers,
David
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On Tue, May 20, 2008 at 9:11 AM, Anne Archibald
<[EMAIL PROTECTED]> wrote:
> 2008/5/20 Vasileios Gkinis <[EMAIL PROTECTED]>:
>
>> I have a question concerning nan in NumPy.
>> Lets say i have an array of sample measurements
>> a = array((2,4,nan))
>> in NumPy calculating the mean of the elements in
2008/5/20 Vasileios Gkinis <[EMAIL PROTECTED]>:
> I have a question concerning nan in NumPy.
> Lets say i have an array of sample measurements
> a = array((2,4,nan))
> in NumPy calculating the mean of the elements in array a looks like:
>
a = array((2,4,nan))
a
> array([ 2., 4., NaN]
Original Message
Subject:question on NumPy NaN
Date: Tue, 20 May 2008 18:03:00 +0200
From: Vasileios Gkinis <[EMAIL PROTECTED]>
To: numpy-discussion@scipy.org
Hi all,
I have a question concerning nan in NumPy.
Lets say i have an array of sample measurements