pyspark.pandas.DataFrame.plot.pie#

plot.pie(**kwds)#

Generate a pie plot.

A pie plot is a proportional representation of the numerical data in a column. This function wraps plotly.express.pie() for the specified column.

Parameters

yint or label, optional: Label or position of the column to plot. If not provided, subplots=True argument must be passed (matplotlib-only).
**kwds: Keyword arguments to pass on to pandas-on-Spark.Series.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({'mass': [0.330, 4.87, 5.97],
...                    'radius': [2439.7, 6051.8, 6378.1]},
...                   index=['Mercury', 'Venus', 'Earth'])
>>> df.mass.plot.pie()  

For DataFrame:

>>> df = ps.DataFrame({'mass': [0.330, 4.87, 5.97],
...                    'radius': [2439.7, 6051.8, 6378.1]},
...                   index=['Mercury', 'Venus', 'Earth'])
>>> df.plot.pie(y='mass')  