How to Pretty Print an Entire Pandas Series or DataFrame?

In this article, we are going to see how to Pretty Print the entire pandas Series / Dataframe.  There are various pretty print options are available for use with this method. Here we will discuss 3 ways to Pretty Print the entire Pandas Dataframe:

• Use pd.set_options() method
• Use pd.option_context() method
• Use options.display() Method

Creating DataFrame to Pretty-print an entire Pandas DataFrame

Output:

Some Important terms to use in pretty print options are discussed below:

• display.max_columns: The maximum number of columns pandas should print. If None is provided as an argument all columns are printed.
• display.max_rows: The maximum number of rows pandas should print. If None is provided as an argument all rows are printed.
• display.colheader_justify: Controls the alignment of column headers
• display.precision: Floating point output precision in terms of a number of places after the decimal, for regular formatting as well as scientific notation.
• display.width: Width of the display in characters. If set to None, pandas will correctly auto-detect the width.

Reduce the Size of a Pandas Dataframe using pd.set_options() 

We will use some options of the set_options() method on the above df to see all rows, all columns, all columns in one row with center-aligned column headers, and rounding the number of places after the decimal for each floating value to 2.

Output:

Once set through pd.set_options() method, the same settings are used with all the next Dataframe printing commands. 

Reduce the Size of a Pandas Dataframe using pd.option_context()

The pd.set_option() method provides permanent setting for displaying dataframe. pd.option_context() temporarily sets the options in with statement context. Following code prints the above df with 4 rows, all columns, all columns in one row with left-aligned column headers, and rounding the number of places after the decimal for each floating value.

Output:

Reduce the Size of a Pandas Dataframe using options.display

Following code prints the above df with 4 rows, 4 columns, all columns in one row with left-aligned column headers, and not rounding the number of places after the decimal for each floating value.

Output: