Re: [Numpy-discussion] Nansum function behavior

2015-10-23 Thread Juan Nunez-Iglesias
Hi Charles, Just providing an outsider's perspective... Your specific use-case doesn't address the general definition of nansum: perform a sum while ignoring nans. As others have pointed out, (especially in the linked thread) the sum of nothing is 0. Although the current behaviour of nansu

Re: [Numpy-discussion] Nansum function behavior

2015-10-23 Thread Charles Rilhac
I saw this thread and I totally disagree with thouis argument… Of course, you can have NaN if there are only NaNs. Thanks goodness, There is a lot of way to do that. But it’s not convenient, consistent and above all, it is wrong logically to do that. NaN does not mean zeros and operation with Na

Re: [Numpy-discussion] Nansum function behavior

2015-10-23 Thread Stephan Hoyer
Hi Charles, You should read the previous discussion about this issue on GitHub: https://github.com/numpy/numpy/issues/1721 For what it's worth, I do think the new definition of nansum is more consistent. If you want to preserve NaN if there are no non-NaN values, you can often calculate this des

Re: [Numpy-discussion] Nansum function behavior

2015-10-23 Thread Charles Rilhac
Why do we keep this behaviour ? : np.nansum([np.nan]) # zero Firstly, you lose information. You can easily fill nan with zero after applying nansum but you cannot keep nan for nan-full rows if you doesn’t have a mask or keep the information about nan-full row before. It is not convenient, usef

Re: [Numpy-discussion] Nansum function behavior

2015-10-23 Thread Benjamin Root
The change to nansum() happened several years ago. The main thrust of it was to make the following consistent: np.sum([]) # zero np.nansum([np.nan]) # zero np.sum([1]) # one np.nansum([np.nan, 1]) # one If you want to propagate masks and such, use masked arrays. Ben Root On Fri, Oct 23, 201

Re: [Numpy-discussion] Nansum function behavior

2015-10-23 Thread Robert Kern
On Fri, Oct 23, 2015 at 5:45 PM, Charles Rilhac wrote: > > Hello, > > I noticed the change regarding nan function and especially nansum function. I think this choice is a big mistake. I know that Matlab and R have made this choice but it is illogical and counterintuitive. What change are you refe

[Numpy-discussion] Nansum function behavior

2015-10-23 Thread Charles Rilhac
Hello, I noticed the change regarding nan function and especially nansum function. I think this choice is a big mistake. I know that Matlab and R have made this choice but it is illogical and counterintuitive. First argument is about logic. An arithmetic operation between Nothing and Nothing c