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Pandas Scatter Plot – DataFrame.plot.scatter()

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  • Last Updated : 25 Feb, 2021
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A Scatter plot is a type of data visualization technique that shows the relationship between two numerical variables. For plotting to scatter plot using pandas there is DataFrame class and this class has a member called plot. Calling the scatter() method on the plot member draws a plot between two variables or two columns of pandas DataFrame. 

Syntax: DataFrame.plot.scatter(x, y, s = none, c = none)

Parameter:

x: column name to be used as horizontal coordinates for each point
y: column name to be used as vertical coordinates for each point
s: size of dots
c: color of dots

Steps:

  • Import necessary libraries.
  • Prepare a data
  • Convert prepared data into DataFrame
  • Draw a scatter plot

Example 1: In this example, we will plot the scatter plot using dataframe, Here we will create the dataframe and plot the scatter plot using different columns.

Python3




# Program to draw scatter plot using Dataframe.plot
# Import libraries
import pandas as pd
  
# Prepare data
data={'Name':['Dhanashri', 'Smita', 'Rutuja',
              'Sunita', 'Poonam', 'Srushti'],
      'Age':[20, 18, 27, 50, 12, 15]}
  
# Load data into DataFrame
df = pd.DataFrame(data = data);
  
# Draw a scatter plot
df.plot.scatter(x = 'Name', y = 'Age', s = 100);

Output:

Example 2: Here we will create the dataframe and plot the scatter plot using different columns with style data points.

Python3




# Program to draw scatter plot using Dataframe.plot
# Import libraries
import pandas as pd
  
# Prepare data
data={'Name':['Dhanashri', 'Smita', 'Rutuja',
              'Sunita', 'Poonam', 'Srushti'],
      'Age':[ 20, 18, 27, 50, 12, 15]}
  
# Load data into DataFrame
df = pd.DataFrame(data = data);
  
# Draw a scatter plot and here size of dots determined by age of person
df.plot.scatter(x = 'Name', y = 'Age', s = 'Age', c = 'red');

Output:


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