While most other Python applications (scipy, pandas) use for the calculation of the standard deviation the default "ddof=1" (i.e. they calculate the sample standard deviation), the Numpy implementation uses the default "ddof=0". Personally I cannot think of many applications where it would be desired to calculate the standard deviation with ddof=0. In addition, I feel that there should be consistency between standard modules such as numpy, scipy, and pandas.
I am wondering if there is a good reason to stick to "ddof=0" as the default for "std", or if others would agree with my suggestion to change the default to "ddof=1"? Thomas --- Prof. (FH) PD Dr. Thomas Haslwanter School of Applied Health and Social Sciences University of Applied Sciences Upper Austria FH OÖ Studienbetriebs GmbH Garnisonstraße 21 4020 Linz/Austria Tel.: +43 (0)5 0804 -52170 Fax: +43 (0)5 0804 -52171 E-Mail: thomas.haslwan...@fh-linz.at<mailto:thomas.haslwan...@fh-linz.at> Web: me-research.fh-linz.at<http://work.thaslwanter.at> or work.thaslwanter.at
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