pandas display show all columns

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Certainly! Pandas is a powerful data manipulation and analysis library for Python. Sometimes, when working with large datasets, it's helpful to display all columns of a DataFrame, especially if there are many columns and the default display is truncated. Here's a tutorial on how to show all columns in a Pandas DataFrame with code examples:
Start by importing the Pandas library in your Python script or Jupyter Notebook.
Let's create a sample DataFrame to work with for demonstration purposes.
By default, Pandas will display a truncated view of the DataFrame if there are too many columns. To show all columns, you can use the following code:
The pd.set_option('display.max_columns', None) line sets the maximum number of displayed columns to None, which means Pandas will display all columns.
After displaying the DataFrame, you might want to reset the display options to the default settings for future displays. You can use the following code to achieve that:
This will revert the maximum number of displayed columns to the default setting.
Here's the complete example with all the code snippets:
This tutorial guides you through displaying all columns in a Pandas DataFrame using the pd.set_option() function. Adjusting display options can be helpful when dealing with datasets that have a large number of columns.
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