On Thu, Feb 14, 2019 at 10:46 AM Mauro Cavalcanti <mauro...@gmail.com> wrote: > > Chuck, > > IPython is full of secrets! More traditional users (myself included) usually > look for the official documentation, so it would be really useful if such > hints were also available there.
Sorry if I'm stating the obvious, but what ipython does is merely give you the appropriate docstring, in this case the module docstring of numpy.lib.nanfunctions (https://github.com/numpy/numpy/blob/master/numpy/lib/nanfunctions.py#L1-L22). So you have to know where to look to find it, but it's official. I believe Chuck's remark of "looks like a module level entry should be added to the documentation under 'NaN functions (numpy.lib.nanfunctions)'" suggests exactly to have this information in the online docs, somewhere at https://docs.scipy.org/doc/numpy/reference/routines.html Regards, András > > Best regards, > > Em qui, 14 de fev de 2019 às 00:44, Charles R Harris > <charlesr.har...@gmail.com> escreveu: >> >> >> >> On Wed, Feb 13, 2019 at 3:45 PM Mauro Cavalcanti <mauro...@gmail.com> wrote: >>> >>> Chuck, >>> >>> I attempted to find such a list from the Numpy website. A complete list >>> like yours should be quite handy for users if available there. >>> >> >> In ipython >> >> In [1]: numpy.lib.nanfunctions? >> >> will give it to you. But it looks like a module level entry should be added >> to the documentation under "NaN functions (numpy.lib.nanfunctions)" in a >> "Routines" entry. Maybe "Histograms" also. >> >> <snip> >> >> Chuck >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@python.org >> https://mail.python.org/mailman/listinfo/numpy-discussion > > > > -- > Dr. Mauro J. Cavalcanti > E-mail: mauro...@gmail.com > Web: http://sites.google.com/site/maurobio > "Life is complex. It consists of real and imaginary parts." > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion
