pandas.DataFrame.std

DataFrame.std(axis=None, skipna=None, level=None, ddof=1, numeric_only=None, **kwargs) [source]

Return sample standard deviation over requested axis.

Normalized by N-1 by default. This can be changed using the ddof argument

Parameters:

Parameters:	`axis : {index (0), columns (1)}` `skipna : boolean, default True` Exclude NA/null values. If an entire row/column is NA, the result will be NA `level : int or level name, default None` If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a Series `ddof : int, default 1` Delta Degrees of Freedom. The divisor used in calculations is N - ddof, where N represents the number of elements. `numeric_only : boolean, default None` Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Not implemented for Series.
Returns:	`std : Series or DataFrame (if level specified)`

axis : {index (0), columns (1)}
skipna : boolean, default True: Exclude NA/null values. If an entire row/column is NA, the result will be NA
level : int or level name, default None: If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a Series
ddof : int, default 1: Delta Degrees of Freedom. The divisor used in calculations is N - ddof, where N represents the number of elements.
numeric_only : boolean, default None: Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Not implemented for Series.

Returns:

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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.24.2/reference/api/pandas.DataFrame.std.html

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