Series.plot.hist(bins=10, **kwds) [source] Histogram New in version 0.17.0. Parameters: bins: integer, default 10 Number of histogram bins to be used **kwds : optional Keyword arguments to pass on to pandas.Series.plot(). Returns: axes : matplotlib.AxesSubplot or np.array of them

Series.plot.density(**kwds) [source] Kernel Density Estimate plot New in version 0.17.0. Parameters: **kwds : optional Keyword arguments to pass on to pandas.Series.plot(). Returns: axes : matplotlib.AxesSubplot or np.array of them

Series.plot.box(**kwds) [source] Boxplot New in version 0.17.0. Parameters: **kwds : optional Keyword arguments to pass on to pandas.Series.plot(). Returns: axes : matplotlib.AxesSubplot or np.array of them

Series.plot.barh(**kwds) [source] Horizontal bar plot New in version 0.17.0. Parameters: **kwds : optional Keyword arguments to pass on to pandas.Series.plot(). Returns: axes : matplotlib.AxesSubplot or np.array of them

Series.plot.bar(**kwds) [source] Vertical bar plot New in version 0.17.0. Parameters: **kwds : optional Keyword arguments to pass on to pandas.Series.plot(). Returns: axes : matplotlib.AxesSubplot or np.array of them

Series.plot.area(**kwds) [source] Area plot New in version 0.17.0. Parameters: **kwds : optional Keyword arguments to pass on to pandas.Series.plot(). Returns: axes : matplotlib.AxesSubplot or np.array of them

Series.plot(kind='line', ax=None, figsize=None, use_index=True, title=None, grid=None, legend=False, style=None, logx=False, logy=False, loglog=False, xticks=None, yticks=None, xlim=None, ylim=None, rot=None, fontsize=None, colormap=None, table=False, yerr=None, xerr=None, label=None, secondary_y=False, **kwds) [source] Make plots of Series using matplotlib / pylab. New in version 0.17.0: Each plot kind has a corresponding method on the Series.plot accessor: s.plot(kind='line') is equivalen

Series.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 fun

Series.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.

Series.order(na_last=None, ascending=True, kind='quicksort', na_position='last', inplace=False) [source] DEPRECATED: use Series.sort_values() Sorts Series object, by value, maintaining index-value link. This will return a new Series by default. Series.sort is the equivalent but as an inplace method. Parameters: na_last : boolean (optional, default=True)?DEPRECATED; use na_position Put NaN?s at beginning or end ascending : boolean, default True Sort ascending. Passing False sorts descend