Series.radd(other, level=None, fill_value=None, axis=0) [source] Addition of series and other, element-wise (binary operator radd). Equivalent to other + series, but with support to substitute a fill_value for missing data in one of the inputs. Parameters: other: Series or scalar value fill_value : None or float value, default None (NaN) Fill missing (NaN) values with this value. If both Series are missing, the result will be missing level : int or name Broadcast across a level, matchin

Series.reorder_levels(order) [source] Rearrange index levels using input order. May not drop or duplicate levels Parameters: order: list of int representing new level order. (reference level by number or key) axis: where to reorder levels Returns: type of caller (new object)

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.update(other, join='left', overwrite=True, filter_func=None, raise_conflict=False) [source] Modify Panel in place using non-NA values from passed Panel, or object coercible to Panel. Aligns on items Parameters: other : Panel, or object coercible to Panel join : How to join individual DataFrames {?left?, ?right?, ?outer?, ?inner?}, default ?left? overwrite : boolean, default True If True then overwrite values for common keys in the calling panel filter_func : callable(1d-array) -&

DataFrameGroupBy.plot Class implementing the .plot attribute for groupby objects

pandas.bdate_range(start=None, end=None, periods=None, freq='B', tz=None, normalize=True, name=None, closed=None, **kwargs) [source] Return a fixed frequency datetime index, with business day as the default frequency Parameters: start : string or datetime-like, default None Left bound for generating dates end : string or datetime-like, default None Right bound for generating dates periods : integer or None, default None If None, must specify start and end freq : string or DateOffset,

MultiIndex.strides return the strides of the underlying data

CategoricalIndex.equals(other) [source] Determines if two CategorialIndex objects contain the same elements.

Series.imag

DataFrame.rpow(other, axis='columns', level=None, fill_value=None) [source] Exponential power of dataframe and other, element-wise (binary operator rpow). Equivalent to other ** dataframe, but with support to substitute a fill_value for missing data in one of the inputs. Parameters: other : Series, DataFrame, or constant axis : {0, 1, ?index?, ?columns?} For Series input, axis to match Series index on fill_value : None or float value, default None Fill missing (NaN) values with this val