pyspark.pandas.Series.plot.area#

plot.area(x=None, y=None, **kwds)#

Draw a stacked area plot.

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

Parameters

xlabel or position, optional: Coordinates for the X axis. By default it uses the index.
ylabel or position, optional: Column to plot. By default it uses all columns.
stackedbool, default True: Area plots are stacked by default. Set to False to create an unstacked plot (matplotlib-only).
**kwdsoptional: Additional keyword arguments are documented in DataFrame.plot().

Returns

plotly.graph_objs.Figure: Return an custom object when backend!=plotly. Return an ndarray when subplots=True (matplotlib-only).

Examples

For Series

>>> df = ps.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'))
>>> df.sales.plot.area()  

For DataFrame

>>> df = ps.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'))
>>> df.plot.area()  