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Certainly! In Python, you can use the pd.set_option() function from the pandas library to configure the display options and show all columns of a DataFrame. Here's a step-by-step tutorial with a code example:
If you haven't installed the pandas library, you can do so using the following command:
Start by importing the pandas library into your Python script or Jupyter Notebook.
For demonstration purposes, let's create a sample DataFrame with multiple columns.
By default, Pandas will truncate the display of columns if there are too many. To show all columns, use the pd.set_option() function with the display.max_columns option set to None. This will display all the columns of the DataFrame.
After displaying the DataFrame with all columns, you may want to reset the display options to their default values. Use the following code to reset the options:
Now you should be able to display and visualize all columns in your Pandas DataFrame. Adjust the sample DataFrame and integrate this approach into your projects as needed.
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