Pandas DataFrame to NumPy Array: A Simple Guide

You can easily convert a Pandas DataFrame into a NumPy array using the '.values' attribute. Here's how:

import pandas as pd
import numpy as np

df = pd.DataFrame({'A':[1,2,3], 'B':[4,5,6]})
array = df.values
print(array)

This code outputs:

array([[1, 4],
       [2, 5],
       [3, 6]], dtype=int64)

Explanation:

• Each row in the resulting array represents a sample from your DataFrame.
• Each column represents a feature.
• 'dtype=int64' indicates the data type is integer.