How to Extract Column Header Lists from Pandas DataFrames?

How to Obtain a List of Headers from Pandas DataFrame Columns

Extracting column headers from a Pandas DataFrame is a common task in data analysis. This article provides two practical ways to obtain a list of column headers, allowing you to easily work with your data.

Method 1: my_dataframe.columns.values

This method utilizes the columns attribute of the DataFrame to access its column headers. By calling .values on the returned columns object, you can convert the headers into a list. This gives you precise control over the resulting list.

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

Method 2: list(my_dataframe)

For a simpler approach, you can directly type cast the DataFrame itself into a list. This method also generates a list of column headers.

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

Example

Consider the following DataFrame:

y	gdp	cap
1	2	5
2	3	9
8	7	2
3	4	7
6	7	7
4	8	3
8	2	8
9	9	10
6	6	4
10	10	7

Using either Method 1 or Method 2, you will obtain the following list of column headers:

['y', 'gdp', 'cap']

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