[Numpy-discussion] question on NumPy NaN

[Vasileios Gkinis]

-------- Original Message --------
Subject: 	question on NumPy NaN
Date: 	Tue, 20 May 2008 18:03:00 +0200
From: 	Vasileios Gkinis <v.gkinis@gfy.ku.dk>
To: 	numpy-discussion@scipy.org



Hi all,

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])
 >>> mean(a)
nan

What if i simply dont want nan to propagate and get something that would 
look like:

 >>> a = array((2,4,nan))
 >>> a
array([  2.,   4.,  NaN])
 >>> mean(a)
3.

Cheers

Vasilis
-- 

------------------------------------------------------------

Vasileios Gkinis, PhD Student

Centre for Ice and Climate

Niels Bohr Institute

Juliane Maries Vej 30, room 321

DK-2100 Copenhagen

Denmark

Office: +45 35325913

v.gkinis@gfy.ku.dk

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