代码
import yfinance as yf
import matplotlib.pyplot as plt
import mplfinance as mpf
# Define the ticker symbol for Apple
ticker_symbol = "AAPL"
# Define the date range (10 years)
start_date_1 = "2013-09-24"
end_date_1 = "2023-09-24"
# Define the date range (5 years)
start_date_2 = "2017-09-24"
end_date_2 = "2023-09-24"
# Define the date range (1 years)
start_date_3 = "2022-09-24"
end_date_3 = "2023-09-24"
# Define the date range (6 month)
start_date_4 = "2023-03-24"
end_date_4 = "2023-09-24"
# Fetch the historical data from Yahoo Finance
apple_ohlc_1 = yf.download(ticker_symbol, start=start_date_1, end=end_date_1, interval="1mo")
apple_ohlc_1["8-Month SMA"] = apple_ohlc_1["Close"].rolling(8).mean()
apple_ohlc_2 = yf.download(ticker_symbol, start=start_date_2, end=end_date_2, interval="1wk")
apple_ohlc_2["40-Week SMA"] = apple_ohlc_2["Close"].rolling(40).mean()
apple_ohlc_3 = yf.download(ticker_symbol, start=start_date_3, end=end_date_3, interval="1d")
apple_ohlc_3["50-Day SMA"] = apple_ohlc_3["Close"].rolling(50).mean()
apple_ohlc_3["200-Day SMA"] = apple_ohlc_3["Close"].rolling(200).mean()
apple_ohlc_4 = yf.download(ticker_symbol, start=start_date_4, end=end_date_4, interval="1d")
apple_ohlc_4["50-Day SMA"] = apple_ohlc_4["Close"].rolling(50).mean()
apple_ohlc_4["200-Day SMA"] = apple_ohlc_4["Close"].rolling(200).mean()
# Create the plot
fig, ax = plt.subplots(2,2,figsize=(30,22))
# Plot the candlestick chart for the first security on the first axis object
ap = mpf.make_addplot(apple_ohlc_1["8-Month SMA"], color="b", label="8-Month SMA")
mpf.plot(apple_ohlc_2, type='candle', ax=ax[0,0], style='yahoo', xrotation=0, addplot=ap)
ax[0,0].set_title("Apple 10-Year Monthly Chart")
ax[0,0].set_xlabel("Date")
ax[0,0].set_ylabel("Price")
ax[0,0].legend()
ax[0,0].grid()
# Plot the candlestick chart for the second security on the second axis object
mpf.plot(apple_ohlc_2, type='candle', ax=ax[0,1], style='yahoo', xrotation=0)
ax[0,1].set_title("Apple 5-Year Weekly Chart")
ax[0,1].set_xlabel("Date")
ax[0,1].set_ylabel("Price")
ax[0,1].legend()
ax[0,1].grid()
# Plot the candlestick chart for the third security on the third axis object
mpf.plot(apple_ohlc_3, type='candle', ax=ax[1,0], style='yahoo', xrotation=0)
ax[1,0].set_title("Apple 1-Year Daily Chart")
ax[1,0].set_xlabel("Date")
ax[1,0].set_ylabel("Price")
ax[1,0].legend()
ax[1,0].grid()
# Plot the candlestick chart for the fourth security on the fourth axis object
mpf.plot(apple_ohlc_4, type='candle', ax=ax[1,1], style='yahoo', xrotation=0)
ax[1,1].set_title("Apple 6-Month Daily Chart")
ax[1,1].set_xlabel("Date")
ax[1,1].set_ylabel("Price")
ax[1,1].legend()
ax[1,1].grid()
样本数据
Date Open High Low Close Adj Close Volume 8-Month SMA
2013-10-01 17.087499618530273 19.258928298950195 17.08142852783203 18.667856216430664 16.29238510131836 7837732000
2013-11-01 18.71500015258789 19.940357208251953 18.299285888671875 19.859643936157227 17.332521438598633 5225155600
2013-12-01 19.928571701049805 20.540714263916016 19.242856979370117 20.036428451538086 17.588905334472656 7057397200
2014-01-01 19.845714569091797 20.007143020629883 17.626785278320312 17.878570556640625 15.694639205932617 8765954400
2014-02-01 17.95035743713379 19.68535614013672 17.832143783569336 18.794286727905273 16.49850082397461 5880366800
2014-03-01 18.693571090698242 19.60714340209961 18.671785354614258 19.169286727905273 16.928415298461914 5001698800
2014-04-01 19.205713272094727 21.408214569091797 18.26178550720215 21.074642181396484 18.61104393005371 6435060800
2014-05-01 21.14285659790039 23.006071090698242 20.726070404052734 22.60714340209961 19.964397430419922 5735668400 19.760982275009155
2014-06-01 22.641429901123047 23.762500762939453 22.23214340209961 23.232500076293945 20.631237030029297 4827739200 20.331562757492065
2014-07-01 23.3799991607666 24.860000610351562 23.142499923706055 23.899999618530273 21.224002838134766 4140344000 20.836607217788696
2014-08-01 23.725000381469727 25.725000381469727 23.31999969482422 25.625 22.755857467651367 3748308000 21.535178661346436
错误
Traceback (most recent call last):
File E:\Praveen\Python\lib\site-packages\spyder_kernels\py3compat.py:356 in compat_exec
exec(code, globals, locals)
File e:\praveen\technical team\four panel chart\candlestick_fpc.py:46
mpf.plot(apple_ohlc_2, type='candle', ax=ax[0,0], style='yahoo', xrotation=0, addplot=ap)
File E:\Praveen\Python\lib\site-packages\mplfinance\plotting.py:429 in plot
external_axes_mode = _check_for_external_axes(config)
File E:\Praveen\Python\lib\site-packages\mplfinance\_arg_validators.py:446 in _check_for_external_axes
raise ValueError('make_addplot() `ax` kwargs must all be of type `matplotlib.axis.Axes`')
ValueError: make_addplot() `ax` kwargs must all be of type `matplotlib.axis.Axes`
我在尝试使用 Python 中的 mplfinance 在烛台图上绘制简单移动平均线 (SMA) 时遇到了挑战。尽管我最初尝试使用“mav”参数，但我找不到为 SMA 线添加图例的直接方法。作为一种替代方法，我使用收盘价计算了 SMA 数据，并打算在绘图时将其纳入其中。我将非常感谢为实现这一目标提供的任何指导或帮助。谢谢！