Why does pandas dataframe.var() method return unbiased variance by default??
Why does pandas dataframe.var() method return "unbiased variance" by default?
I think variance implies "sample variance" in general.
Off course, I know this method can return "sample variance" if we provide ddof=0 option.
However, this setting option is very confusing. 
Why don't you add new methods sample_var() and unbiased_var() or return "sample variance" by default?
Other data analysis OSS such as numpy, R and so on, their method return "sample variance" by default.
I think pandas is outstanding library for data analysis with Python! Therefore, I would like to know about this confusing specification.