Get a List of Column Headers from a Pandas DataFrame

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Do you want to get a list of all the column headers from a Pandas DataFrame? It’s easy to do!

Let’s begin!

Get a List of Column Headers from a Pandas DataFrame

Just follow these simple steps:

  1. Import the Pandas library
  2. Create a DataFrame object
  3. Use the list() function to get a list of all the column headers from the DataFrame object

Here’s an example of how to do it:

#python with wholeblogs

import pandas as pd

df = pd.DataFrame({'col_one': [0,0,0], 'col_two': [0, 0, 0], 'col_three': [0, 0, 0]})

print(list(df))

Output

[‘col_one’, ‘col_two’, ‘col_three’]

list() function is not limited to just column headers. You can use it on DataFrame objects too! Try it out and see what you get. list(df) will return a list of all the values in the DataFrame, including the column headers.

list(df[‘col_one’]) will return a list of all the values in that column. Give it a go! See how easy it is to get lists from Pandas DataFrames? It’s a handy skill to have in your toolkit. Happy coding!

Conclusion

That’s all there is to it! Getting a list of column headers from a Pandas DataFrame is easy using the list() function. Give it a try yourself and see how simple it is.

Happy coding!

Read More: How to drop multiple columns in pandas

Pandas read_csv no header set column names

If you want to read in a csv file without the header row, you can use the following code:

import pandas as pd

df = pd.read_csv("file.csv", skiprows=1)

print(df)

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