import pandas as pd df = pd.read_csv( "https://raw.githubusercontent.com/noahgift/food/master/data/features.en.openfoodfacts.org.products.csv" ) df.drop( ["Unnamed: 0", "exceeded", "g_sum", "energy_100g"], axis=1, inplace=True ) # drop two rows we don't need df = df.drop(df.index[[1, 11877]]) # drop outlier df.rename(index=str, columns={"reconstructed_energy": "energy_100g"}, inplace=True) print(df.head())