Panel.radd()

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

Panel.product()

Panel.product(axis=None, skipna=None, level=None, numeric_only=None, **kwargs) [source] Return the product 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

Panel.prod()

Panel.prod(axis=None, skipna=None, level=None, numeric_only=None, **kwargs) [source] Return the product 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 No

Panel.pow()

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

Panel.pop()

Panel.pop(item) [source] Return item and drop from frame. Raise KeyError if not found.

Panel.notnull()

Panel.notnull() [source] Return a boolean same-sized object indicating if the values are not null. See also isnull boolean inverse of notnull

Panel.pct_change()

Panel.pct_change(periods=1, fill_method='pad', limit=None, freq=None, **kwargs) [source] Percent change over given number of periods. Parameters: periods : int, default 1 Periods to shift for forming percent change fill_method : str, default ?pad? How to handle NAs before computing percent changes limit : int, default None The number of consecutive NAs to fill before stopping freq : DateOffset, timedelta, or offset alias string, optional Increment to use from time series API (e.g. ?

Panel.pipe()

Panel.pipe(func, *args, **kwargs) [source] Apply func(self, *args, **kwargs) New in version 0.16.2. Parameters: func : function function to apply to the NDFrame. args, and kwargs are passed into func. Alternatively a (callable, data_keyword) tuple where data_keyword is a string indicating the keyword of callable that expects the NDFrame. args : positional arguments passed into func. kwargs : a dictionary of keyword arguments passed into func. Returns: object : the return type of func

Panel.ndim

Panel.ndim Number of axes / array dimensions

Panel.multiply()

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