How to convert a datafram into two arrays : One containing the data and the second containing column names

I have a .csv file that I want to convert into numpy arrays. I want one numpy array containing the header's names, and a second numpy array containing the data. I managed to read my file and put it in a dataframe format. But how can i convert this dataframe into two arrays please ?

Here is what I wrote to convert it into a dataframe and please find on this link my .csv file text

import pandas as pd

from pathlib import Path



universal_path = Path(r"file\file\data.csv")

data = pd.read_csv(universal_path , sep = ';'  , skiprows = 0,  
                   encoding = 'ISO-8859-1', engine = 'python', header = 0 ) 

To convert your header and data in numpy arrays you can do the following:

df = pd.DataFrame({
    'A': [1, 2, 3],
    'B': [4, 5, 6],
    'C': [7, 8, 9]
})

# Extract headers as a NumPy array
headers = df.columns.to_numpy()

# Extract data as a NumPy array
data = df.to_numpy()

print("Headers:", headers)
Headers: ['A' 'B' 'C']

print("Data:\n", data)
Data:
 [[1 4 7]
 [2 5 8]
 [3 6 9]]