scatter

Creates a scatter plot with varying marker point size and color.

The coordinates of each point are defined by two DataFrame columns, and filled circles are used to represent each point. This kind of plot is useful for seeing complex correlations between two variables, such as natural 2D coordinates like longitude and latitude, or any pair of metrics that can be plotted against each other.

Syntax

scatter(x, y, **kwargs)

Parameters

Parameter	Type	Description
x	str	Name of column to use as horizontal coordinates for each point.
y	str or list of str	Name of column to use as vertical coordinates for each point.
**kwargs	optional	Additional keyword arguments.

Returns

plotly.graph_objs.Figure

Examples

Python

from pyspark.sql import SparkSession
spark = SparkSession.builder.getOrCreate()
data = [(5.1, 3.5, 0), (4.9, 3.0, 0), (7.0, 3.2, 1), (6.4, 3.2, 1), (5.9, 3.0, 2)]
columns = ['length', 'width', 'species']
df = spark.createDataFrame(data, columns)
df.plot.scatter(x='length', y='width')