台達電(2308) k line & MACD

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1. from datetime import timedelta, datetime
   
2. import pandas as pd
   
3. import yfinance as yf
   
4. import matplotlib
   
5. import mplfinance as mpf
   
6. import talib as ta
   
7. import matplotlib.pyplot as plt
   
8. 
   
9. plt.rcParams['font.family'] = 'sans-serif'
   
10. plt.rcParams['font.sans-serif'] = 'Noto Sans TC'
    
11. plt.rcParams['axes.unicode_minus'] = False
    
12. ticker_name = '台達電'
    
13. stock_list = ['2308.TW']
    
14. delta = timedelta(days=-300)  #
    
15. today = datetime.now()
    
16. Data = yf.download(stock_list, today + delta)
    
17. # Setting date as index
    
18. Data["Date"] = Data.index
    
19. # Giving column names
    
20. Data = Data[["Date", "Open", "High", "Low", "Close", "Adj Close", "Volume"]]
    
21. # Resetting the index values
    
22. Data.reset_index(drop=True, inplace=True)
    
23. # getting the first 5 rows of the data
    
24. print(Data.head())
    
25. df = pd.DataFrame(Data, columns=['Date', 'Volume', 'Open', 'High', 'Low', 'Close'] )
    
26. df['Date'] = pd.to_datetime(df['Date'], format='%Y-%m-%d')
    
27. df.index = pd.DatetimeIndex(df['Date'])
    
28. # trim volume to avoid exponential form
    
29. Data['Volume'] = Data['Volume'] / 10
    
30. mc = mpf.make_marketcolors(up='r',
    
31.                            down='g',
    
32.                            edge='',
    
33.                            wick='inherit',
    
34.                            volume='inherit')
    
35. 
    
36. s = mpf.make_mpf_style(base_mpf_style='yahoo', marketcolors=mc, rc={'font.sans-serif': 'Noto Sans TC'})
    
37. 
    
38. # macd
    
39. Data["macd"], Data["macd_signal"], Data["macd_hist"] = ta.MACD(Data['Close'])
    
40. # macd panel
    
41. colors = ['g' if v >= 0 else 'r' for v in Data["macd_hist"]]
    
42. macd_plot = mpf.make_addplot(Data["macd"], panel=1, color='fuchsia', title="MACD")
    
43. macd_hist_plot = mpf.make_addplot(Data["macd_hist"], type='bar', panel=1, color=colors)  
    
44. macd_signal_plot = mpf.make_addplot(Data["macd_signal"], panel=1, color='b')
    
45. # plot
    
46. plots = [macd_plot, macd_signal_plot, macd_hist_plot]
    
47. mpf.plot(df, type='candle', style=s, mav=(5,20,60), figscale=1.5,addplot=plots, title="台達電", volume=True, volume_panel=2, ylabel='', ylabel_lower='Shares')

複製代碼

Q1)中文亂碼關鍵:A1) rc={'font.sans-serif': 'Noto Sans TC'}Q2)"TypeError: Expect data.index as DatetimeIndex". ?
A2) df.index = pd.DatetimeIndex(df['Date'])

data['Date'] = pd.to_datetime(data['Date'])
data = data.set_index('Date')