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.

  • 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 False) – Include only float, int, boolean columns. Not implemented for Series.

Returns

  • Series or DataFrame (if level specified)

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