xorbits.pandas.DataFrame.sem#

DataFrame.sem(axis=None, skipna=True, level=None, ddof=1, numeric_only=None, combine_size=None, method=None)#

Return unbiased standard error of the mean over requested axis.

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

Parameters

  • axis ({index (0), columns (1)}) – For Series this parameter is unused and defaults to 0.

  • skipna (bool, 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.

    Deprecated since version 1.3.0: The level keyword is deprecated. Use groupby instead.

  • 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 (bool, default None) –

    Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Not implemented for Series.

    Deprecated since version 1.5.0: Specifying numeric_only=None is deprecated. The default value will be False in a future version of pandas.

Return type

Series or DataFrame (if level specified)

This docstring was copied from pandas.core.frame.DataFrame.