Panel.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: axis : {items (0), major_axis (1), minor_axis (2)} 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 pa

Panel.sort_values(by, axis=0, ascending=True, inplace=False, kind='quicksort', na_position='last') [source]

Panel.squeeze(**kwargs) [source] Squeeze length 1 dimensions.

Panel.skew(axis=None, skipna=None, level=None, numeric_only=None, **kwargs) [source] Return unbiased skew over requested axis Normalized by N-1 Parameters: axis : {items (0), major_axis (1), minor_axis (2)} 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 DataFrame numeric_only : boolean, default

Panel.slice_shift(periods=1, axis=0) [source] Equivalent to shift without copying data. The shifted data will not include the dropped periods and the shifted axis will be smaller than the original. Parameters: periods : int Number of periods to move, can be positive or negative Returns: shifted : same type as caller Notes While the slice_shift is faster than shift, you may pay for it later during alignment.

Panel.sort_index(axis=0, level=None, ascending=True, inplace=False, kind='quicksort', na_position='last', sort_remaining=True) [source] Sort object by labels (along an axis) Parameters: axis : axes to direct sorting level : int or level name or list of ints or list of level names if not None, sort on values in specified index level(s) ascending : boolean, default True Sort ascending vs. descending inplace : bool, default False if True, perform operation in-place kind : {?quicksort?,

Panel.shift(periods=1, freq=None, axis='major') [source] Shift index by desired number of periods with an optional time freq. The shifted data will not include the dropped periods and the shifted axis will be smaller than the original. This is different from the behavior of DataFrame.shift() Parameters: periods : int Number of periods to move, can be positive or negative freq : DateOffset, timedelta, or time rule string, optional axis : {?items?, ?major?, ?minor?} or {0, 1, 2} Returns:

Panel.shape Return a tuple of axis dimensions

Panel.size number of elements in the NDFrame

Panel.sem(axis=None, skipna=None, level=None, ddof=1, numeric_only=None, **kwargs) [source] 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 : {items (0), major_axis (1), minor_axis (2)} 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