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.
Best regards, Em qua, 13 de fev de 2019 às 20:10, Charles R Harris < charlesr.har...@gmail.com> escreveu: > > > On Wed, Feb 13, 2019 at 2:14 PM Mauro Cavalcanti <mauro...@gmail.com> > wrote: > >> Chuck, >> >> Sure, using numpy.sqrt works fine. >> >> Thank you very much. >> >> Best regards, >> >> Em qua, 13 de fev de 2019 às 19:09, Charles R Harris < >> charlesr.har...@gmail.com> escreveu: >> >>> >>> >>> On Wed, Feb 13, 2019 at 1:35 PM Mauro Cavalcanti <mauro...@gmail.com> >>> wrote: >>> >>>> Dear ALL, >>>> >>>> In the process of porting an existing (but abandoned) package to the >>>> latest version of Numpy, I stumbled upon a call to a 'numpy.nansqrt' >>>> function, which seems not to exist. >>>> >>>> Here is the specific code: >>>> >>>> def normTrans(y): >>>> denom = np.nansqrt(np.nansum(y**2)) >>>> return y/denom >>>> >>>> As far as I could find, there is no such 'nansqrt' function in the >>>> current version of Numpy, so I suspect that the above code has not been >>>> properly tested. >>>> >>>> Am I right, or that function had existed in some past version of Numpy? >>>> >>>> Thanks in advance for any comments or suggestions. >>>> >>>> >>> I don't recall any such function, but nansum will not result in any >>> nans, so plain old sqrt should work. >>> >>> > Note that there are various nan stat functions: > > - `nanmin` -- minimum non-NaN value > - `nanmax` -- maximum non-NaN value > - `nanargmin` -- index of minimum non-NaN value > - `nanargmax` -- index of maximum non-NaN value > - `nansum` -- sum of non-NaN values > - `nanprod` -- product of non-NaN values > - `nancumsum` -- cumulative sum of non-NaN values > - `nancumprod` -- cumulative product of non-NaN values > - `nanmean` -- mean of non-NaN values > - `nanvar` -- variance of non-NaN values > - `nanstd` -- standard deviation of non-NaN values > - `nanmedian` -- median of non-NaN values > - `nanquantile` -- qth quantile of non-NaN values > - `nanpercentile` -- qth percentile of non-NaN values > > 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."
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