pyspark.sql.plot.core.PySparkPlotAccessor.bar#

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

Vertical bar plot.

A bar plot is a plot that presents categorical data with rectangular bars with lengths proportional to the values that they represent. A bar plot shows comparisons among discrete categories. One axis of the plot shows the specific categories being compared, and the other axis represents a measured value.

Parameters

xstr: Name of column to use for the horizontal axis.
ystr or list of str: Name(s) of the column(s) to use for the vertical axis. Multiple columns can be plotted.
**kwargsoptional: Additional keyword arguments.

Returns

plotly.graph_objs.Figure

Examples

>>> from pyspark.sql import SparkSession
>>> spark = SparkSession.builder.getOrCreate()
>>> data = [("A", 10, 1.5), ("B", 30, 2.5), ("C", 20, 3.5)]
>>> columns = ["category", "int_val", "float_val"]
>>> df = spark.createDataFrame(data, columns)
>>> df.plot.bar(x="category", y="int_val")  