Index.is_integer() [source]

Panel.get_values() [source] same as values (but handles sparseness conversions)

DatetimeIndex.day The days of the datetime

DataFrame.to_dict(orient='dict') [source] Convert DataFrame to dictionary. Parameters: orient : str {?dict?, ?list?, ?series?, ?split?, ?records?, ?index?} Determines the type of the values of the dictionary. dict (default) : dict like {column -> {index -> value}} list : dict like {column -> [values]} series : dict like {column -> Series(values)} split : dict like {index -> [index], columns -> [columns], data -> [values]} records : list like [{column -> value},

DataFrame.pivot(index=None, columns=None, values=None) [source] Reshape data (produce a ?pivot? table) based on column values. Uses unique values from index / columns to form axes of the resulting DataFrame. Parameters: index : string or object, optional Column name to use to make new frame?s index. If None, uses existing index. columns : string or object Column name to use to make new frame?s columns values : string or object, optional Column name to use for populating new frame?s va

DataFrame.plot.line(x=None, y=None, **kwds) [source] Line plot New in version 0.17.0. Parameters: x, y : label or position, optional Coordinates for each point. **kwds : optional Keyword arguments to pass on to pandas.DataFrame.plot(). Returns: axes : matplotlib.AxesSubplot or np.array of them

CategoricalIndex.nlevels

class pandas.TimedeltaIndex [source] Immutable ndarray of timedelta64 data, represented internally as int64, and which can be boxed to timedelta objects Parameters: data : array-like (1-dimensional), optional Optional timedelta-like data to construct index with unit: unit of the arg (D,h,m,s,ms,us,ns) denote the unit, optional which is an integer/float number freq: a frequency for the index, optional copy : bool Make a copy of input ndarray start : starting value, timedelta-like, opt

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

TimedeltaIndex.view(cls=None) [source]