[{'from': 'human', 'value': 'using python use the following dataset: "df_vra = pd.read_csv(\'externos.csv\', sep=\';\')" and loop through each row and get the value of the columns "RUT", "DV", and "Names"'}, {'from': 'gpt', 'value': 'You shouldn\'t use a for loop in this instance. Pandas has a built in method to get a subset of the columns in a dataframe. You give a list of the column names you want as an index like so:\n\ncolumns = [ "RUT", "DV", "Names"]\ndf_vra[columns]\n\nShould return what you want.'}, {'from': 'human', 'value': 'Interesting. Why did you assume I use pandas? I mean you are not wrong, but I am still wondering.'}, {'from': 'gpt', 'value': 'Pandas is commonly imported as such: "import pandas as pd". Pandas provides the read_csv method in order to read a comma-separated values file into DataFrame. Thus, I concluded that your instruction "df_vra = pd.read_csv(\'externos.csv\', sep=\';\')" implies that you are using the Pandas library.'}]