On Sat, Sep 17, 2011 at 4:48 PM, Skipper Seabold <jsseab...@gmail.com> wrote: > Just ran into this. Any objections for having numpy.std and other > functions in core/fromnumeric.py call asanyarray before trying to use > the array's method? Other data structures like pandas and larry define > their own std method, for instance, and this doesn't allow them to > pass through. I'm inclined to say that the issue is with numpy, though > maybe the data structures shouldn't shadow numpy array methods while > altering the signature. I dunno. > > df = pandas.DataFrame(np.random.random((10,5))) > > np.std(df,axis=0) > <snip> > TypeError: std() got an unexpected keyword argument 'dtype' > > np.std(np.asanyarray(df),axis=0) > array([ 0.30883352, 0.3133324 , 0.26517361, 0.26389029, 0.20022444]) > > Though I don't think this would work with larry yet. > > Pull request: https://github.com/numpy/numpy/pull/160 > > Skipper > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
Note I've no real intention of making DataFrame fully ndarray-like-- but it's nice to be able to type: df.std(axis=0) df.std(axis=1) np.sqrt(df) etc. which works the same as ndarray. I suppose the __array__/__array_wrap__ interface is there largely as a convenience. _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
