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 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 (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