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
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