import pandas as pd
goog = pd.read_csv('../data/GOOG.csv')
goog('Date') = pd.to_datetime(goog('Date'))
goog.set_index('Date', inplace=True)
goog = goog(('Open', 'High', 'Low', 'Close', 'Volume')) # index 컬럼인 Date는 필요x
import mplfinance as mpf
goog('20_MA') = goog('Close').rolling(window=20).mean()
goog('50_MA') = goog('Close').rolling(window=50).mean()
ap_mav = (mpf.make_addplot(goog('20_MA')), mpf.make_addplot(goog('50_MA'), color="red"))
fig, axs = mpf.plot(goog, type="candle", style="charles", title="Stock Price", ylabel="Price", volume=True,
addplot=ap_mav)
axs(0).legend(('20_MA', '50_MA'))