Скачать или смотреть #73 Practical Pandas Standard Deviations and Data frame |

The Pandas std() is defined as a function for calculating the standard deviation of the given set of numbers, DataFrame, column, and rows.

Series.std(axis=None, skipna=None, level=None, ddof=1, numeric_only=None, **kwargs)

Parameters:
axis: {index (0), columns (1)}
skipna: It excludes all the NA/null values. If NA is present in an entire row/column, the result will be NA.
level: It counts along with a particular level, and collapsing into a scalar if the axis is a MultiIndex (hierarchical).
ddof: Delta Degrees of Freedom. The divisor used in calculations is N - ddof, where N represents the number of elements.
numeric_only: boolean, default value None
It includes only float, int, boolean columns. If it is None, it will attempt to use everything, so use only numeric data.
It is not implemented for a Series.