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</o:shapelayout></xml><![endif]--></head><body lang=DE-AT link=blue vlink=purple><div class=WordSection1><p class=MsoNormal><span lang=EN-US>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”.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>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.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>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”?<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Thomas<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span lang=EN-US style='font-size:10.0pt;color:#1F497D;mso-fareast-language:DE-AT'>---<br>Prof. (FH) PD Dr. Thomas Haslwanter</span><span lang=EN-US style='color:#1F497D;mso-fareast-language:DE-AT'> <br></span><span lang=EN-US style='font-size:10.0pt;color:#1F497D;mso-fareast-language:DE-AT'>School of Applied Health and Social Sciences</span><span lang=EN-US style='color:#1F497D;mso-fareast-language:DE-AT'> </span><span lang=EN-US style='font-size:12.0pt;font-family:"Times New Roman","serif";color:#1F497D;mso-fareast-language:DE-AT'><o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><b><span lang=EN-US style='font-size:10.0pt;color:#1F497D;mso-fareast-language:DE-AT'>University of Applied Sciences</span></b><span lang=EN-US style='color:#1F497D;mso-fareast-language:DE-AT'> </span><b><span lang=EN-US style='font-size:10.0pt;color:#1F497D;mso-fareast-language:DE-AT'>Upper Austria</span></b><span lang=EN-US style='color:#1F497D;mso-fareast-language:DE-AT'><br></span><b><span lang=EN-US style='font-size:10.0pt;color:#1F497D;mso-fareast-language:DE-AT'>FH OÖ Studienbetriebs GmbH</span></b><span lang=EN-US style='color:#1F497D;mso-fareast-language:DE-AT'> <br></span><span lang=EN-US style='font-size:10.0pt;color:#1F497D;mso-fareast-language:DE-AT'>Garnisonstraße 21</span><span lang=EN-US style='color:#1F497D;mso-fareast-language:DE-AT'> <br></span><span lang=EN-US style='font-size:10.0pt;color:#1F497D;mso-fareast-language:DE-AT'>4020 Linz/Austria</span><span lang=EN-US style='color:#1F497D;mso-fareast-language:DE-AT'> <br></span><span lang=EN-US style='font-size:10.0pt;color:#1F497D;mso-fareast-language:DE-AT'>Tel.: +43 (0)5 0804 -52170</span><span lang=EN-US style='color:#1F497D;mso-fareast-language:DE-AT'> <br></span><span lang=EN-US style='font-size:10.0pt;color:#1F497D;mso-fareast-language:DE-AT'>Fax: +43 (0)5 0804 -52171</span><span lang=EN-US style='color:#1F497D;mso-fareast-language:DE-AT'> <br></span><span lang=EN-US style='font-size:10.0pt;color:#1F497D;mso-fareast-language:DE-AT'>E-Mail: <a href="mailto:Thomas.Haslwanter@fh-linz.at" target="_blank"><span style='color:blue'>Thomas.Haslwanter@fh-linz.at</span></a></span><span lang=EN-US style='color:#1F497D;mso-fareast-language:DE-AT'> <br></span><span lang=EN-US style='font-size:10.0pt;color:#1F497D;mso-fareast-language:DE-AT'>Web: <a href="http://work.thaslwanter.at" target="_blank"><span style='color:blue'>me-research.fh-linz.at</span></a><br>or work.thaslwanter.at</span><span lang=EN-US style='color:#1F497D;mso-fareast-language:DE-AT'> </span><span lang=EN-US style='font-size:10.0pt;color:#1F497D;mso-fareast-language:DE-AT'><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p></div></body></html>