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. Here is an example:

import numpy as np
import pandas as pd

# Numpy array
data = np.array([[1, 2, 3], [4, 5, 6]])

# Index column
index = ['row1', 'row2']

# Column headers
columns = ['col1', 'col2', 'col3']

# Create DataFrame
df = pd.DataFrame(data, index=index, columns=columns)

You will get a DataFrame like this:

col1    col2    col3
row1    1       2       3
row2    4       5       6