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# pandas.Series.plot

`Series.``plot`(series, label=None, kind='line', use_index=True, rot=None, xticks=None, yticks=None, xlim=None, ylim=None, ax=None, style=None, grid=None, legend=False, logx=False, logy=False, secondary_y=False, **kwds)

  Plot the input series with the index on the x-axis using matplotlib

  Parameters : | label : label argument to provide to plot kind : {‘line’, ‘bar’, ‘barh’, ‘kde’, ‘density’, ‘area’} line : line plot bar : vertical bar plot barh : horizontal bar plot kde/density : Kernel Density Estimation plot area : area plot use_index : boolean, default True Plot index as axis tick labels rot : int, default None Rotation for tick labels xticks : sequence Values to use for the xticks yticks : sequence Values to use for the yticks xlim : 2-tuple/list ylim : 2-tuple/list ax : matplotlib axis object If not passed, uses gca() style : string, default matplotlib default matplotlib line style to use grid : matplotlib grid legend: matplotlib legend logx : boolean, default False Use log scaling on x axis logy : boolean, default False Use log scaling on y axis loglog : boolean, default False Use log scaling on both x and y axes secondary_y : boolean or sequence of ints, default False If True then y-axis will be on the right figsize : a tuple (width, height) in inches position : float Specify relative alignments for bar plot layout. From 0 (left/bottom-end) to 1 (right/top-end). Default is 0.5 (center) table : boolean, Series or DataFrame, default False If True, draw a table using the data in the Series and the data will be transposed to meet matplotlib’s default layout. If a Series or DataFrame is passed, use passed data to draw a table. kwds : keywords Options to pass to matplotlib plotting method

  Notes

  See matplotlib documentation online for more on this subject

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