How to Access Column Headers from Pandas DataFrames?

Accessing Column Headers from Pandas DataFrames

When working with user-defined Pandas DataFrames, the need arises to obtain a list of the column headers. This can be done in a straightforward manner using the DataFrame's built-in functionality.

Solution:

To retrieve a list of column headers from a Pandas DataFrame, you can employ the following methods:

1. Using the columns.values attribute:

   <code class="python">column_list = list(my_dataframe.columns.values)</code>

2. Using the direct list conversion of the DataFrame:

   <code class="python">column_list = list(my_dataframe)</code>

Both methods effectively provide a list of strings containing the column headers of the DataFrame. In the provided example, the resulting list for the given DataFrame would be ['y', 'gdp', 'cap'].

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