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Creating a Pandas DataFrame from a Numpy array: How do I specify the index column and column headers?

To create a Pandas DataFrame from a Numpy array and specify the index column and column headers, you can use the pd.DataFrame() constructor and pass in the Numpy array, as well as the index, columns parameters.

To create a Pandas DataFrame from a Numpy array and specify the index column and column headers, you can use the pd.DataFrame() constructor and pass in the Numpy array, as well as the index, columns parameters. Here is an example:

Create a Pandas DataFrame from a Numpy array

python— editable, runs on the server

You will get a DataFrame like this:

output

col1    col2    col3
row1    1       2       3
row2    4       5       6