Pandas Tutorial · Plotting

Pandas Plotting

Learn all about Pandas Plotting in this comprehensive tutorial.

5 min read intermediate

Pandas Correlations

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•Pandas uses the plot() method to create diagrams.
•Specify that you want a scatter plot with the kind argument:
•Use the kind argument to specify that you want a histogram:

Introduction

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.

python

import pandas as pdimport matplotlib.pyplot as pltdf = pd.read_csv('data.csv')
df.plot()plt.show()

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'

python

import pandas as pdimport matplotlib.pyplot as pltdf = pd.read_csv('data.csv')
df.plot(kind = 'scatter', val_1 = 'Duration', val_2 = 'Calories')plt.show()

Note: 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:

python

import pandas as pdimport matplotlib.pyplot as pltdf = pd.read_csv('data.csv')
df.plot(kind = 'scatter', val_1 = 'Duration', val_2 = 'Maxpulse')plt.show()

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:

python

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

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

Module quiz

2 questions

Which of the following is true about Pandas Plotting?

It is strictly typedIt is evaluated at runtimeIt requires explicit memory managementIt is deprecated

What is the most common pitfall when working with Pandas Plotting?

SyntaxErrorIndentationErrorNameErrorTypeError

Answer all questions to submit.

Pandas Correlations

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Pandas Plotting

AI Summary

Introduction

Plotting

Scatter Plot

Histogram

Module quiz