데이터 공부를 기록하는 공간

data = df.copy() data = data[['close']] data['SMA1'] = data['close'].rolling(42).mean() data['SMA2'] = data['close'].rolling(180).mean() data.plot(title="2years BTC", figsize=(10,4))​ import numpy as np import pandas as pd import seaborn as sns import matplotlib.pyplot as plt import pyupbit df = pyupbit.get_ohlcv("KRW-BTC","hour1", count=24*30*24) data['position'] = np.where(data['SMA1']>data['S..