Interactive plots in Jupyter Notebook
Data Science

Interactive plots in Jupyter Notebook

How to create a plot that supports zooming
Bartosz Mikulski
Bartosz Mikulski – 1 min read

You can draw an interactive plot in Jupyter Notebook (with matplotlib) if you run this code before drawing the plot:

%matplotlib notebook

The interactive plot looks like this and supports zooming:

Note that you must run this line before every interactive plot you want to create. Also, the plot remains interactive until you call “%matplotlib notebook” again, change the mode to inline (“%matplotlib inline”) or quit the interactive mode by clicking the button in the top right corner of the plot.

If you draw a second plot while one of you plots is interactive the command will add another dataset to the existing plot instead of creating a new one:

Older post

[book review] James Whittaker's Little Book of the Future

Read this book if you believe we can use A.I. and IoT to build a bright future.

Newer post

How to split a list inside a Dataframe cell into rows in Pandas

Step by step instructions to "explode" a list into DataFrame rows.

Related Posts

Career Data Science

I worked as a data scientist and that was the worst job I have ever had.

I believed in the Sexiest Job of 21 Century hype. I was wrong.
Published on: 04 Mar 2022

Data Science

How to remove outliers from Seaborn boxplot charts

Hide outliers when displaying boxplot in Seaborn
Published on: 14 Oct 2019

Data Science

Pandas stack and unstack explained

How to use the stack and unstack functions in Pandas
Published on: 23 Sep 2019