Tutorials References Exercises Videos Menu
Create Website Get Certified Upgrade

Pandas - Plotting



Plotting

Pandas uses the plot() method to create diagrams.

We can use Pyplot, a submodule of the Matplotlib library to visualize the diagram on the screen.

Read more about Matplotlib in our Matplotlib Tutorial.

Example

Import pyplot from Matplotlib and visualize our DataFrame:

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv('data.csv')

df.plot()

plt.show()
Try it Yourself »

The examples in this page uses a CSV file called: 'data.csv'.

Download data.csv or Open data.csv


Scatter Plot

Specify that you want a scatter plot with the kind argument:

kind = 'scatter'

A scatter plot needs an x- and a y-axis.

In the example below we will use "Duration" for the x-axis and "Calories" for the y-axis.

Include the x and y arguments like this:

x = 'Duration', y = 'Calories'

Example

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv('data.csv')

df.plot(kind = 'scatter', x = 'Duration', y = 'Calories')

plt.show()

Result

Try it Yourself »

Remember: In the previous example, we learned that the correlation between "Duration" and "Calories" was 0.922721, and we concluded with the fact that higher duration means more calories burned.

By looking at the scatterplot, I will agree.

Let's create another scatterplot, where there is a bad relationship between the columns, like "Duration" and "Maxpulse", with the correlation 0.009403:

Example

A scatterplot where there are no relationship between the columns:

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv('data.csv')

df.plot(kind = 'scatter', x = 'Duration', y = 'Maxpulse')

plt.show()

Result

Try it Yourself »

w3schools CERTIFIED . 2022

Get Certified!

Complete the Pandas modules, do the exercises, take the exam, and you will become w3schools certified!

$10 ENROLL

Histogram

Use the kind argument to specify that you want a histogram:

kind = 'hist'

A histogram needs only one column.

A histogram shows us the frequency of each interval, e.g. how many workouts lasted between 50 and 60 minutes?

In the example below we will use the "Duration" column to create the histogram:

Example

df["Duration"].plot(kind = 'hist')

Result

Try it Yourself »

Note: The histogram tells us that there were over 100 workouts that lasted between 50 and 60 minutes.


Test Yourself With Exercises

Exercise:

Insert a correct syntax for visualize the data in DataFrame as a diagram (plotting).

df.()

Start the Exercise