bar

Creates a vertical bar plot.

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

Syntax

bar(x, y, **kwargs)

Parameters

Parameter	Type	Description
x	str	Name of column to use for the horizontal axis.
y	str or list of str	Name(s) of the column(s) to use for the vertical axis. Multiple columns can be plotted.
**kwargs	optional	Additional keyword arguments.

Returns

plotly.graph_objs.Figure

Examples

Python

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")