import jupyter
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
import kaggle
import pandas
import os

path_to_data = './data'


def download_data():
    kaggle.api.authenticate()
    kaggle.api.dataset_download_files('thedevastator/airbnb-prices-in-european-cities', path=path_to_data, unzip=True)


def read_data_from_file(filename):
    return pandas.read_csv(filename)


if __name__ == '__main__':
    if not os.path.isdir('data'):
        download_data()
    df = read_data_from_file(path_to_data + '/barcelona_weekends.csv')
    print(df.head())