area(self, x=None, y=None, **kwargs)
An area plot displays quantitative data visually. This function wraps the matplotlib area function.
Coordinates for the X axis. By default uses the index.
Column to plot. By default uses all columns.
Area plots are stacked by default. Set to False to create a unstacked plot.
Additional keyword arguments are documented in DataFrame.plot
.
Area plot, or array of area plots if subplots is True.
Draw a stacked area plot.
DataFrame.plot
Make plots of DataFrame using matplotlib / pylab.
Draw an area plot based on basic business metrics:
.. plot::
('context', 'close-figs')
>>> 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='M'))
>>> ax = df.plot.area()Area plots are stacked by default. To produce an unstacked plot, pass stacked=False
:
.. plot::
('context', 'close-figs')
>>> ax = df.plot.area(stacked=False)
Draw an area plot for a single column:
.. plot::
('context', 'close-figs')
>>> ax = df.plot.area(y='sales')
Draw with a different x:
.. plot::
('context', 'close-figs')
>>> df = pd.DataFrame({
... 'sales': [3, 2, 3],
... 'visits': [20, 42, 28],
... 'day': [1, 2, 3],
... })
>>> ax = df.plot.area(x='day')Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
SVG is more flexible but power hungry; and does not scale well to 50 + nodes.
All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them