Case Study (Wine Quality) : Exporting Data

import pandas as pd
import numpy as np

red_wine= "https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality-red.csv"

df_red= pd.read_csv(red_wine, sep=";")


white_wine="https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality-white.csv"

df_white= pd.read_csv(white_wine, sep=";")

Exporting Red Wine data to 'red.csv' and White Wine to 'white.csv'

# To drop extra index column, add -> index=False


df_red.to_csv('red.csv', index=False)

df_white.to_csv('white.csv', index=False)

Result: Now we can read data from files ('red.csv' & 'white.csv') we created.