pandas.Series.plot   Series.plot(*args, **kwargs)[source]
 
Make plots of Series or DataFrame. Uses the backend specified by the option plotting.backend. By default, matplotlib is used.  Parameters 
 
data:Series or DataFrame


The object for which the method is called.  
x:label or position, default None


Only used if data is a DataFrame.  
y:label, position or list of label, positions, default None


Allows plotting of one column versus another. Only used if data is a DataFrame.  
kind:str


The kind of plot to produce:  ‘line’ : line plot (default) ‘bar’ : vertical bar plot ‘barh’ : horizontal bar plot ‘hist’ : histogram ‘box’ : boxplot ‘kde’ : Kernel Density Estimation plot ‘density’ : same as ‘kde’ ‘area’ : area plot ‘pie’ : pie plot ‘scatter’ : scatter plot (DataFrame only) ‘hexbin’ : hexbin plot (DataFrame only)   
ax:matplotlib axes object, default None


An axes of the current figure.  
subplots:bool, default False


Make separate subplots for each column.  
sharex:bool, default True if ax is None else False


In case subplots=True, share x axis and set some x axis labels to invisible; defaults to True if ax is None otherwise False if an ax is passed in; Be aware, that passing in both an ax and sharex=True will alter all x axis labels for all axis in a figure.  
sharey:bool, default False


In case subplots=True, share y axis and set some y axis labels to invisible.  
layout:tuple, optional


(rows, columns) for the layout of subplots.  
figsize:a tuple (width, height) in inches


Size of a figure object.  
use_index:bool, default True


Use index as ticks for x axis.  
title:str or list


Title to use for the plot. If a string is passed, print the string at the top of the figure. If a list is passed and subplots is True, print each item in the list above the corresponding subplot.  
grid:bool, default None (matlab style default)


Axis grid lines.  
legend:bool or {‘reverse’}


Place legend on axis subplots.  
style:list or dict


The matplotlib line style per column.  
logx:bool or ‘sym’, default False


Use log scaling or symlog scaling on x axis. .. versionchanged:: 0.25.0  
logy:bool or ‘sym’ default False


Use log scaling or symlog scaling on y axis. .. versionchanged:: 0.25.0  
loglog:bool or ‘sym’, default False


Use log scaling or symlog scaling on both x and y axes. .. versionchanged:: 0.25.0  
xticks:sequence


Values to use for the xticks.  
yticks:sequence


Values to use for the yticks.  
xlim:2-tuple/list


Set the x limits of the current axes.  
ylim:2-tuple/list


Set the y limits of the current axes.  
xlabel:label, optional


Name to use for the xlabel on x-axis. Default uses index name as xlabel, or the x-column name for planar plots.  New in version 1.1.0.   Changed in version 1.2.0: Now applicable to planar plots (scatter, hexbin).   
ylabel:label, optional


Name to use for the ylabel on y-axis. Default will show no ylabel, or the y-column name for planar plots.  New in version 1.1.0.   Changed in version 1.2.0: Now applicable to planar plots (scatter, hexbin).   
rot:int, default None


Rotation for ticks (xticks for vertical, yticks for horizontal plots).  
fontsize:int, default None


Font size for xticks and yticks.  
colormap:str or matplotlib colormap object, default None


Colormap to select colors from. If string, load colormap with that name from matplotlib.  
colorbar:bool, optional


If True, plot colorbar (only relevant for ‘scatter’ and ‘hexbin’ plots).  
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:bool, Series or DataFrame, default False


If True, draw a table using the data in the DataFrame 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.  
yerr:DataFrame, Series, array-like, dict and str


See Plotting with Error Bars for detail.  
xerr:DataFrame, Series, array-like, dict and str


Equivalent to yerr.  
stacked:bool, default False in line and bar plots, and True in area plot


If True, create stacked plot.  
sort_columns:bool, default False


Sort column names to determine plot ordering.  
secondary_y:bool or sequence, default False


Whether to plot on the secondary y-axis if a list/tuple, which columns to plot on secondary y-axis.  
mark_right:bool, default True


When using a secondary_y axis, automatically mark the column labels with “(right)” in the legend.  
include_bool:bool, default is False


If True, boolean values can be plotted.  
backend:str, default None


Backend to use instead of the backend specified in the option plotting.backend. For instance, ‘matplotlib’. Alternatively, to specify the plotting.backend for the whole session, set pd.options.plotting.backend.  New in version 1.0.0.   **kwargs

Options to pass to matplotlib plotting method.    Returns 
 
matplotlib.axes.Axes or numpy.ndarray of them

If the backend is not the default matplotlib one, the return value will be the object returned by the backend.     Notes  See matplotlib documentation online for more on this subject If kind = ‘bar’ or ‘barh’, you can specify relative alignments for bar plot layout by position keyword. From 0 (left/bottom-end) to 1 (right/top-end). Default is 0.5 (center)