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DOC: Remove claims of unbiasedness from doc string for std #12234

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8 changes: 4 additions & 4 deletions doc/source/basics.rst
Original file line number Diff line number Diff line change
Expand Up @@ -483,11 +483,11 @@ optional ``level`` parameter which applies only if the object has a
``mode``, Mode
``abs``, Absolute Value
``prod``, Product of values
``std``, Unbiased standard deviation
``std``, Bessel-corrected sample standard deviation
``var``, Unbiased variance
``sem``, Unbiased standard error of the mean
``skew``, Unbiased skewness (3rd moment)
``kurt``, Unbiased kurtosis (4th moment)
``sem``, Standard error of the mean
``skew``, Sample skewness (3rd moment)
``kurt``, Sample kurtosis (4th moment)
``quantile``, Sample quantile (value at %)
``cumsum``, Cumulative sum
``cumprod``, Cumulative product
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6 changes: 3 additions & 3 deletions doc/source/computation.rst
Original file line number Diff line number Diff line change
Expand Up @@ -309,10 +309,10 @@ We provide a number of the common statistical functions:
:meth:`~Rolling.median`, Arithmetic median of values
:meth:`~Rolling.min`, Minimum
:meth:`~Rolling.max`, Maximum
:meth:`~Rolling.std`, Unbiased standard deviation
:meth:`~Rolling.std`, Bessel-corrected sample standard deviation
:meth:`~Rolling.var`, Unbiased variance
:meth:`~Rolling.skew`, Unbiased skewness (3rd moment)
:meth:`~Rolling.kurt`, Unbiased kurtosis (4th moment)
:meth:`~Rolling.skew`, Sample skewness (3rd moment)
:meth:`~Rolling.kurt`, Sample kurtosis (4th moment)
:meth:`~Rolling.quantile`, Sample quantile (value at %)
:meth:`~Rolling.apply`, Generic apply
:meth:`~Rolling.cov`, Unbiased covariance (binary)
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2 changes: 1 addition & 1 deletion pandas/core/generic.py
Original file line number Diff line number Diff line change
Expand Up @@ -4783,7 +4783,7 @@ def mad(self, axis=None, skipna=None, level=None):
nanops.nanvar)
cls.std = _make_stat_function_ddof(
'std', name, name2, axis_descr,
"Return unbiased standard deviation over requested axis."
"Return sample standard deviation over requested axis."
"\n\nNormalized by N-1 by default. This can be changed using the "
"ddof argument",
nanops.nanstd)
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