pyspark.sql.plot.core.PySparkPlotAccessor.area#

PySparkPlotAccessor.area(x, y, **kwargs)[source]#

Draw a stacked area plot.

An area plot displays quantitative data visually.

Parameters:

xstr: Name of column to use for the horizontal axis.
ystr or list of str: Name(s) of the column(s) to plot.
**kwargs: Optional: Additional keyword arguments.

Returns:

plotly.graph_objs.Figure

Examples

>>> from pyspark.sql import SparkSession
>>> spark = SparkSession.builder.getOrCreate()
>>> from datetime import datetime
>>> data = [
...     (3, 5, 20, datetime(2018, 1, 31)),
...     (2, 5, 42, datetime(2018, 2, 28)),
...     (3, 6, 28, datetime(2018, 3, 31)),
...     (9, 12, 62, datetime(2018, 4, 30))
... ]
>>> columns = ["sales", "signups", "visits", "date"]
>>> df = spark.createDataFrame(data, columns)
>>> df.plot.area(x='date', y=['sales', 'signups', 'visits'])