IPDB Cheatsheet

What is ipdb ?

ipdb, the IPython-enabled Python Debugger, is a third party interative debugger with all pdb’s functionality and adds IPython support for the interactive shell, like tab completion, color support, magic functions and much more. You use ipdb just as you use pdb but with an enhanced user experience.

Common IPDB Cheatsheet

Without argument, print the list of available commands. With a command name as argument, print help about that command.

Print a stack trace, with the most recent frame at the bottom. An arrow indicates the “current frame”, which determines the context of most commands.

Move the current frame one level down in the stack trace (to a newer frame).

Move the current frame one level up in the stack trace (to an older frame).

b(reak): [ ([filename:]lineno | function) [, condition] ]
With a filename:line number argument, set a break there. If filename is omitted, use the current file. With a function name, set a break at the first executable line of that function. Without argument, list all breaks. Each breakpoint is assigned a number to which all the other breakpoint commands refer.
The condition argument, if present, is a string which must evaluate to true in order for the breakpoint to be honored.

tbreak: [ ([filename:]lineno | function) [, condition] ]
Temporary breakpoint, which is removed automatically when it is first hit. The arguments are the same as break.

cl(ear): [bpnumber [bpnumber ...] ]
With a space separated list of breakpoint numbers, clear those breakpoints. Without argument, clear all breaks (but first ask confirmation).

disable bpnumber: [bpnumber ...]
Disables the breakpoints given as a space separated list of breakpoint numbers. Disabling a breakpoint means it cannot cause the program to stop execution, but unlike clearing a breakpoint, it remains in the list of breakpoints and can be (re-)enabled.

enable bpnumber: [bpnumber ...]
Enables the breakpoints specified.

ignore bpnumber count
Sets the ignore count for the given breakpoint number. If count is omitted, the ignore count is set to 0. A breakpoint becomes active when the ignore count is zero. When non-zero, the count is decremented each time the breakpoint is reached and the breakpoint is not disabled and any associated condition evaluates to true.

condition bpnumber condition
condition is an expression which must evaluate to true before the breakpoint is honored. If condition is absent, any existing condition is removed; i.e., the breakpoint is made unconditional.

Execute the current line, stop at the first possible occasion (either in a function that is called or in the current function).

Continue execution until the next line in the current function is reached or it returns.

Continue execution until the line with a number greater than the current one is reached or until the current frame returns.

Continue execution until the current function returns.

run [args ...]
Restart the debugged python program. If a string is supplied it is splitted with “shlex”, and the result is used as the new sys.argv. History, breakpoints, actions and debugger options are preserved. “restart” is an alias for “run”.

Continue execution, only stop when a breakpoint is encountered.

l(ist): [first [,last]]
List source code for the current file. Without arguments, list 11 lines around the current line or continue the previous listing. With one argument, list 11 lines starting at that line. With two arguments, list the given range; if the second argument is less than the first, it is a count.

Print the argument list of the current function.

p expression
Print the value of the expression.


1. Install ipdb

pip install ipdb

2. Add the below code snippet at an arbitrary location in your code, and you iteractive shell will start from that location.

import ipdb

3. To start an interactive shell from shell itself execute:

python -m ipdb Run-Script.py

ipdb shell looks like


Explore More Python Posts

Using Twitter API with Python: Getting Tweets & Insights

Learn how to use the Twitter API with Python to get tweet information and insights. Extract valuable data for businesses and researchers with ease.

Read More
Accessing Facebook Data with Python: Examples for Post Likes, Views, and Profile Details

Learn how to access Facebook data using Python and the Facebook API. Get post likes, views, and comments, and retrieve profile details.

Read More
Python Design Patterns: Examples and Best Practices

Learn about Python design patterns with examples and discover best practices for writing maintainable and scalable code.

Read More
How to Use the YouTube API with Python: A Step-by-Step Guide

Learn how to access and retrieve information from YouTube using Python and the YouTube API. Get code examples and step-by-step instructions for impor…

Read More
Top 3 Python Frameworks for Web Development

Discover the most popular and efficient Python frameworks for building dynamic web applications. Get started today!

Read More
Debugging Made Easy with IPDB - The Python Debugger

Revolutionize the way you debug your Python code with IPdb, the advanced interactive debugger that streamlines your debugging process. Say goodbye to…

Read More