31 lines
600 B
Python
31 lines
600 B
Python
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()
|