pandas.Series.plot.area — pandas 2.2.3 documentation (original) (raw)

Series.plot.area(x=None, y=None, stacked=True, **kwargs)[source]#

Draw a stacked area plot.

An area plot displays quantitative data visually. This function wraps the matplotlib area function.

Parameters:

xlabel or position, optional

Coordinates for the X axis. By default uses the index.

ylabel or position, optional

Column to plot. By default uses all columns.

stackedbool, default True

Area plots are stacked by default. Set to False to create a unstacked plot.

**kwargs

Additional keyword arguments are documented inDataFrame.plot().

Returns:

matplotlib.axes.Axes or numpy.ndarray

Area plot, or array of area plots if subplots is True.

See also

DataFrame.plot

Make plots of DataFrame using matplotlib / pylab.

Examples

Draw an area plot based on basic business metrics:

df = pd.DataFrame({ ... 'sales': [3, 2, 3, 9, 10, 6], ... 'signups': [5, 5, 6, 12, 14, 13], ... 'visits': [20, 42, 28, 62, 81, 50], ... }, index=pd.date_range(start='2018/01/01', end='2018/07/01', ... freq='ME')) ax = df.plot.area()

Area plots are stacked by default. To produce an unstacked plot, pass stacked=False:

ax = df.plot.area(stacked=False)

Draw an area plot for a single column:

ax = df.plot.area(y='sales')

Draw with a different x:

df = pd.DataFrame({ ... 'sales': [3, 2, 3], ... 'visits': [20, 42, 28], ... 'day': [1, 2, 3], ... }) ax = df.plot.area(x='day')