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When confronted with multi-column data in Pandas DataFrames, it often becomes necessary to retrieve a list of the column headers. This enables various downstream operations, such as iterating through data or extracting specific columns.
Utilizing the columns.values attribute of a DataFrame, obtaining a list of column headers becomes straightforward. By calling the list() function on this attribute, you can convert the underlying array into a list:
<code class="python">column_list = list(my_dataframe.columns.values)</code>
Alternatively, you can simplify the operation even further by directly calling the list() function on the DataFrame itself:
<code class="python">column_list = list(my_dataframe)</code>
This concise approach retrieves the column names as a convenient list, making them accessible for subsequent processing.
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