Cell Magic Commands
Cell Magic functions are special commands that allow the user to modify the behavior of a code cell explicitly. Cell Magic functions have the prefix ‘%%’ followed by the command name. Cell magic functions serve various tasks and customizations which we discuss thoroughly further in this article. As per the official python documentation there are 16 cell magic functions available now which are described below,
|
Cell Magic Command |
Description |
|---|---|
|
%%bash |
Run cells with bash in a subprocess |
|
%%capture |
run the cell, capturing stdout, stderr, and IPython’s rich display() calls |
|
%%html |
Render the cell as a block of HTML |
|
%%javascript or %%js |
Run the cell block of Javascript code |
|
%%latex |
Render the cell as a block of LaTeX |
|
%%markdown |
Render the cell as Markdown text block |
|
%%perl |
Run cells with perl in a subprocess |
|
%%pypy |
Run cells with pypy in a subprocess |
|
%%python |
Run cells with python in a subprocess |
|
%%python2 |
Run cells with python2 in a subprocess |
|
%%python3 |
Run cells with python3 in a subprocess |
|
%%ruby |
Run cells with ruby in a subprocess |
|
%%script |
Run a cell via a shell command |
|
%%sh |
Run cells with sh in a subprocess |
|
%%svg |
Render the cell as an SVG literal |
|
%%writefile |
Write the contents of the cell to a file |
Since, its not possible to explain each cell magic command with example we will only cover some helpful and widely used cell magic commands.
Useful IPython magic commands
In this article, we will cover IPython Magic commands/functions and discuss various types of magic commands available. In this article we will be using Jupyter Notebook to execute the magic commands first, we look at what are Magic functions and why we use them, then different types of magic functions followed by examples. There are a lot of magic functions but in this article, we discuss the most commonly used magic functions.
Jupyter Notebook
The Jupyter Notebook is the original web application for creating and sharing computational documents that contain live code, equations, visualizations, and narrative text. It offers a simple, streamlined, document-centric experience. Jupyter has support for over 40 different programming languages and Python is one of them.