(a+b+c+d+e)/5
(b+c+d+e+f)/5
(c+d+e+f+g)/5
...
(f+g+h+i+j)/5

# 移动平均线
import numpy as np
import matplotlib.pyplot as mp
import datetime as dt
import matplotlib.dates as md


def dmy2ymd(dmy):
  """
  把日月年转年月日
  :param day:
  :return:
  """
  dmy = str(dmy, encoding=‘utf-8‘)
  t = dt.datetime.strptime(dmy, ‘%d-%m-%Y‘)
  s = t.date().strftime(‘%Y-%m-%d‘)
  return s


dates, opening_prices, highest_prices, lowest_prices, closing_prices =   np.loadtxt(‘aapl.csv‘,
             delimiter=‘,‘,
             usecols=(1, 3, 4, 5, 6),
             unpack=True,
             dtype=‘M8[D],f8,f8,f8,f8‘,
             converters={1: dmy2ymd})  # 日月年转年月日
print(dates)
# 绘制收盘价的折现图
mp.figure(‘APPL‘, facecolor=‘lightgray‘)
mp.title(‘APPL‘, fontsize=18)
mp.xlabel(‘Date‘, fontsize=14)
mp.ylabel(‘Price‘, fontsize=14)
mp.grid(linestyle=":")

# 设置刻度定位器
# 每周一一个主刻度,一天一个次刻度

ax = mp.gca()
ma_loc = md.WeekdayLocator(byweekday=md.MO)
ax.xaxis.set_major_locator(ma_loc)
ax.xaxis.set_major_formatter(md.DateFormatter(‘%Y-%m-%d‘))
ax.xaxis.set_minor_locator(md.DayLocator())
# 修改dates的dtype为md.datetime.datetiem
dates = dates.astype(md.datetime.datetime)
mp.plot(dates, closing_prices,
        color=‘dodgerblue‘,
        linewidth=2,
        linestyle=‘--‘,
        alpha=0.8,
        label=‘APPL Closing Price‘)

#绘制5日移动平均线
ma5 = np.zeros(closing_prices.size-4)
for i in range(ma5.size):
  ma5[i] =np.mean(closing_prices[i:i+5])

mp.plot(dates[4:],ma5,color=‘orangered‘,label=‘MA5‘)

#绘制10日移动平均线
ma10 = np.zeros(closing_prices.size-9)
for i in range(ma10.size):
  ma10[i] =np.mean(closing_prices[i:i+10])

mp.plot(dates[9:],ma10,color=‘green‘,label=‘MA10‘)


mp.legend()
mp.gcf().autofmt_xdate()
mp.show()