Display all dataframe columns in a Jupyter Python Notebook

I want to show all columns in a dataframe in a Jupyter Notebook. Jupyter shows some of the columns and adds dots to the last columns like in the following picture:

How can I display all columns?

Try the display max_columns setting as follows:

import pandas as pd
from IPython.display import display

df = pd.read_csv("some_data.csv")
pd.options.display.max_columns = None
display(df)

Or

pd.set_option('display.max_columns', None)

Pandas 0.11.0 backwards

This is deprecated but in versions of Pandas older than 0.11.0 the max_columns setting is specified as follows:

pd.set_printoptions(max_columns=500)

I know this question is a little old but the following worked for me in a Jupyter Notebook running pandas 0.22.0 and Python 3:

import pandas as pd
pd.set_option('display.max_columns', <number of columns>)

You can do the same for the rows too:

pd.set_option('display.max_rows', <number of rows>)

This saves importing IPython, and there are more options in the pandas.set_option documentation: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.set_option.html