import pandas as pd
from datetime import datetime, timedelta
from matplotlib import pyplot as plt
from matplotlib import dates as mpl_dates

plt.style.use('seaborn')

dates = [
    datetime(2019, 5, 24),
    datetime(2019, 5, 25),
    datetime(2019, 5, 26),
    datetime(2019, 5, 27),
    datetime(2019, 5, 28),
    datetime(2019, 5, 29),
    datetime(2019, 5, 30)
]

y = [0, 1, 3, 4, 6, 5, 7]

# data = pd.read_csv('data.csv')
# price_date = data['Date']
# price_close = data['Close']

# plt.title('Bitcoin Prices')
# plt.xlabel('Date')
# plt.ylabel('Closing Price')

plt.tight_layout()

plt.show()