In Python, How Can I Increase The Number Of Columns Displayed In A Pandas DataFrame Output?

To expand the output display and see more columns of a Pandas DataFrame in Python, you can use the set_option() function from the pandas library.

Here’s an example of how you can use this function to increase the maximum number of columns displayed:

import pandas as pd

# Create a sample DataFrame
df = pd.DataFrame({'Column1': range(10),
                   'Column2': range(10),
                   'Column3': range(10),
                   'Column4': range(10),
                   'Column5': range(10),
                   'Column6': range(10),
                   'Column7': range(10),
                   'Column8': range(10),
                   'Column9': range(10),
                   'Column10': range(10),
                   'Column11': range(10),
                   'Column12': range(10),
                   'Column13': range(10)})

# Expand the maximum number of displayed columns to 15
pd.set_option('display.max_columns', 15)

# Print the DataFrame
print(df)

In this example, we use the set_option() function to set the maximum number of displayed columns to 15 (display.max_columns parameter). Then, we print the DataFrame to see the expanded output with more columns.

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