On Tue, Oct 6, 2009 at 9:22 PM, Pierre GM <pgmdevl...@gmail.com> wrote:
> > On Oct 6, 2009, at 9:54 PM, Gökhan Sever wrote: > > > > > Also say, if I want to replace that one element back to its original > > > state will it use fill_value as 1e+20 or 999999.9999? > > > > What do you mean by 'replace back to its original state' ? Using > > `filled`, you mean ? > > > > Yes, in more properly stated fashion "filled" :) > > > I[14]: c.data['Air_Temp'][4] > > O[14]: > > masked_array(data = --, > > mask = True, > > fill_value = 1e+20) > > > > > > I[15]: c.data['Air_Temp'][4].filled() > > O[15]: array(1e+20) > > > > Little buggy, isn't it? It properly fill the whole array: > > > > I[13]: c.data['Air_Temp'].filled() > > O[13]: > > array([ 1.31509000e+01, 1.31309000e+01, 1.31278000e+01, > > 1.31542000e+01, 1.00000000e+06, 1.31539000e+01, > > 1.31387000e+01, 1.00000000e+06, 1.00000000e+06, > > 1.00000000e+06, 1.31107000e+01, 1.31351000e+01, > > 1.32073000e+01, 1.32562000e+01, 1.33533000e+01, > > 1.33889000e+01, 1.34067000e+01, 1.32938000e+01, > > 1.31962000e+01, 1.31248000e+01, 1.30411000e+01, > > 1.29534000e+01, 1.28354000e+01, 1.27392000e+01, > > 1.26725000e+01]) > > Once again, when you access your 5th element, you get the special > `masked` constant. If you fill this constant, you'll get something > which is probably not what you want. And I would need a *REALLY* > compelling reason to change this behavior, as it's gonna break a lot > of things (the masked constant has been around for a while) > > I see your points. I don't want to give you extra work, don't worry :) It just seem a bit bizarre: I[27]: c.data['Air_Temp'].fill_value O[27]: 999999.99990000005 I[28]: c.data['Air_Temp'][4].fill_value O[28]: 1e+20 As you see, it just returns two different fill_values. I know eventually you will be the one handling this :) it might be good to add this issue to the tracker. > > > > 2-) What is wrong with the arccos calculation? Should not that > > > > Er, I assume it's np.arccos ? > > > > Sorry too much time spent in ipython -pylab :) > > Well, i use ipython -pylab regularly as well, but still have the > reflex of using np. ;) > > > Good reflex. Saves you from making extra explanations. But it works with just typing array why should I type np.array (Ohh my namespacess :) It is just an IPython magic. > > > > > I[18]: arccos? > > Type: ufunc > > Base Class: <type 'numpy.ufunc'> > > String Form: <ufunc 'arccos'> > > Namespace: Interactive > > File: /home/gsever/Desktop/python-repo/numpy/numpy/ > > __init__.py > > > > > > Anyway, I'm puzzled. Works like a charm here (r7438 for numpy.ma). > > Could it be that something went wrng with some ufuncs ? > > > > This I don't know :( > > > > I didn't touch > > ma since 09/08 (thanks, svn history), so I don't think it comes from > > here... > > > > Yes, SVN is a very useful invention indeed. > > > > I[6]: numpy.__version__ > > O[6]: '1.4.0.dev' > > > > For some reason it doesn't list check-out revision. > > I know, and it's bugging me as well. if you have a build directory > somewhere, check numpy/core/__svn_version__.py > > There is build directory but no files that contains svn :( > > This is the last resort. I will eventually try this if I don't any > > other options left. > > I gonna have difficulties fixing something that I don't see broken... > Now, there might be something wrong in my installation. I gonna try to > install 1.3.0 somwehere. say, what Python are you using ? > OK, I use meld to diff my copy of ma/core.py with the latest trunk version. There are lots of differences :) So there is a possibility that I might have built my local numpy before 09/08. I should renew my copy. Do you know the link of svn browser for the numpy? I don't know how you are making separate installations without overriding other package? I either use Sage (if I have extra time) or SPD. They are both shipped with numpy 1.3.0. Let see how it will result with a new build... > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > -- Gökhan
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