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()  

pyspark.pandas.Series.plot pyspark.pandas.Series.plot.bar