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