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

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

Series.dt.strftime(*args, **kwargs) [source] Return an array of formatted strings specified by date_format, which supports the same string format as the python standard library. Details of the string format can be found in python string format doc New in version 0.17.0. Parameters: date_format : str date format string (e.g. ?%Y-%m-%d?) Returns: ndarray of formatted strings

Series.str.lstrip(to_strip=None) [source] Strip whitespace (including newlines) from each string in the Series/Index from left side. Equivalent to str.lstrip(). Returns: stripped : Series/Index of objects

Panel4D.reindex_like(other, method=None, copy=True, limit=None, tolerance=None) [source] Return an object with matching indices to myself. Parameters: other : Object method : string or None copy : boolean, default True limit : int, default None Maximum number of consecutive labels to fill for inexact matches. tolerance : optional Maximum distance between labels of the other object and this object for inexact matches. New in version 0.17.0. Returns: reindexed : same as input Notes

Panel.tz_convert(tz, axis=0, level=None, copy=True) [source] Convert tz-aware axis to target time zone. Parameters: tz : string or pytz.timezone object axis : the axis to convert level : int, str, default None If axis ia a MultiIndex, convert a specific level. Otherwise must be None copy : boolean, default True Also make a copy of the underlying data Raises: TypeError If the axis is tz-naive.

DataFrame.sort_values(by, axis=0, ascending=True, inplace=False, kind='quicksort', na_position='last') [source] Sort by the values along either axis New in version 0.17.0. Parameters: by : str or list of str Name or list of names which refer to the axis items. axis : {0 or ?index?, 1 or ?columns?}, default 0 Axis to direct sorting ascending : bool or list of bool, default True Sort ascending vs. descending. Specify list for multiple sort orders. If this is a list of bools, must matc

DataFrame.sortlevel(level=0, axis=0, ascending=True, inplace=False, sort_remaining=True) [source] Sort multilevel index by chosen axis and primary level. Data will be lexicographically sorted by the chosen level followed by the other levels (in order) Parameters: level : int axis : {0 or ?index?, 1 or ?columns?}, default 0 ascending : boolean, default True inplace : boolean, default False Sort the DataFrame without creating a new instance sort_remaining : boolean, default True Sort by t

MultiIndex.tolist() [source] return a list of the Index values

DataFrame.drop(labels, axis=0, level=None, inplace=False, errors='raise') [source] Return new object with labels in requested axis removed. Parameters: labels : single label or list-like axis : int or axis name level : int or level name, default None For MultiIndex inplace : bool, default False If True, do operation inplace and return None. errors : {?ignore?, ?raise?}, default ?raise? If ?ignore?, suppress error and existing labels are dropped. New in version 0.16.1. Returns: dr