Panel.multiply(other, axis=0) [source] Multiplication of series and other, element-wise (binary operator mul). Equivalent to panel * other. Parameters: other : DataFrame or Panel axis : {items, major_axis, minor_axis} Axis to broadcast over Returns: Panel See also Panel.rmul

Panel.mod(other, axis=0) [source] Modulo of series and other, element-wise (binary operator mod). Equivalent to panel % other. Parameters: other : DataFrame or Panel axis : {items, major_axis, minor_axis} Axis to broadcast over Returns: Panel See also Panel.rmod

Panel.mul(other, axis=0) [source] Multiplication of series and other, element-wise (binary operator mul). Equivalent to panel * other. Parameters: other : DataFrame or Panel axis : {items, major_axis, minor_axis} Axis to broadcast over Returns: Panel See also Panel.rmul

Panel.min(axis=None, skipna=None, level=None, numeric_only=None, **kwargs) [source] This method returns the minimum of the values in the object. If you want the index of the minimum, use idxmin. This is the equivalent of the numpy.ndarray method argmin. 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 MultiInde

Panel.median(axis=None, skipna=None, level=None, numeric_only=None, **kwargs) [source] Return the median of the values for the requested axis 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 N

Panel.minor_xs(key) [source] Return slice of panel along minor axis Parameters: key : object Minor axis label Returns: y : DataFrame index -> major axis, columns -> items Notes minor_xs is only for getting, not setting values. MultiIndex Slicers is a generic way to get/set values on any level or levels and is a superset of minor_xs functionality, see MultiIndex Slicers

Panel.mean(axis=None, skipna=None, level=None, numeric_only=None, **kwargs) [source] Return the mean of the values for the requested axis 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 None

Panel.max(axis=None, skipna=None, level=None, numeric_only=None, **kwargs) [source] This method returns the maximum of the values in the object. If you want the index of the maximum, use idxmax. This is the equivalent of the numpy.ndarray method argmax. 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 MultiInde

Panel.mask(cond, other=nan, inplace=False, axis=None, level=None, try_cast=False, raise_on_error=True) [source] Return an object of same shape as self and whose corresponding entries are from self where cond is False and otherwise are from other. Parameters: cond : boolean NDFrame, array or callable If cond is callable, it is computed on the NDFrame and should return boolean NDFrame or array. The callable must not change input NDFrame (though pandas doesn?t check it). New in version 0.18

Panel.major_xs(key) [source] Return slice of panel along major axis Parameters: key : object Major axis label Returns: y : DataFrame index -> minor axis, columns -> items Notes major_xs is only for getting, not setting values. MultiIndex Slicers is a generic way to get/set values on any level or levels and is a superset of major_xs functionality, see MultiIndex Slicers