Here's an example of how to loop through each row in the dataframe df_vra and extract the values of the columns "RUT", "DV", and "Names":

import pandas as pd

# Read the CSV file into a dataframe
df_vra = pd.read_csv('externos.csv', sep=';')

# Loop through each row in the dataframe
for index, row in df_vra.iterrows():
    # Extract the values of the columns "RUT", "DV", and "Names"
    rut = row["RUT"]
    dv = row["DV"]
    name = row["Names"]
    
    # Print the values for each row
    print("RUT: ", rut)
    print("DV: ", dv)
    print("Name: ", name)

This code uses the iterrows() function to loop through each row in the dataframe. For each row, it extracts the values of the columns "RUT", "DV", and "Names" using the square bracket notation, and stores these values in variables rut, dv, and name, respectively. Finally, it prints the values for each row.
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