Final answer:
To show all columns and rows in a Pandas DataFrame, use the 'set_option' method to set 'display.max_columns' and 'display.max_rows' to None. Caution is advised with large datasets due to potential performance issues.
Step-by-step explanation:
To show all columns and rows in a Pandas DataFrame, you need to adjust the display options using Pandas' set_option method. This method can configure various display-related settings such as the maximum number of columns or rows to show when printing a DataFrame.
To display all columns, you would set the 'display.max_columns' option to None:
pd.set_option('display.max_columns', None)
Similarly, to display all rows, set the 'display.max_rows' option to None:
pd.set_option('display.max_rows', None)
It's important to use these settings with caution; displaying a large DataFrame in its entirety may cause performance issues, especially with very large datasets.