pandas.DataFrame.plot.area#
- DataFrame.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 in
DataFrame.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")