How to display all columns of a Pandas DataFrame in Jupyter Notebook

Often, when we want to display the content of a Pandas dataframe in Jupyter Notebook, we end up with the result that fits on the screen but has some hidden columns. Isn’t it annoying? What do we do when it happens? I used to save the data frame to file and open it in Excel or select the one row I wanted to see and transpose the data frame to have all of the columns visible as rows (that works until you hit the limit of rows that can be displayed).

Subscribe to the newsletter and join the free email course.

Fortunately, there is a better way. We can specify the maximum number of columns we want to see to some large value and get the friendly output in Jupyter without additional hassle.

pd.set_option('display.max_columns', 999)

Remember to share on social media!
If you like this text, please share it on Facebook/Twitter/LinkedIn/Reddit or other social media.

If you want to contact me, send me a message on LinkedIn or Twitter.

Would you like to have a call and talk? Please schedule a meeting using this link.

Bartosz Mikulski
Bartosz Mikulski * data/machine learning engineer * conference speaker * co-founder of Software Craft Poznan & Poznan Scala User Group

Subscribe to the newsletter and get access to my free email course on building trustworthy data pipelines.

Do you want to work with me at riskmethods?

REMOTE position (available in Poland or Germany)