[Numpy-discussion] 'nansqrt' function?
Charles R Harris
charlesr.harris at gmail.com
Wed Feb 13 17:09:46 EST 2019
On Wed, Feb 13, 2019 at 2:14 PM Mauro Cavalcanti <maurobio at gmail.com> wrote:
> 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.harris at gmail.com> escreveu:
>> On Wed, Feb 13, 2019 at 1:35 PM Mauro Cavalcanti <maurobio at gmail.com>
>>> 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
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