问我如何根据过去的X个数据量连续计算一些东西？(更多详情请参阅信息)

EN

import numpy as np
import pandas_datareader.data as pdr
import pandas as pd

# Define the instruments to download. We would like to see Apple, Microsoft and the S&P500 index.

ticker = ['AAPL']


#Define the data period that you would like

start_date = '2017-07-01'
end_date = '2019-02-08'

# User pandas_reader.data.DataReader to load the stock prices from Yahoo Finance. 

df = pdr.DataReader(ticker, 'yahoo', start_date, end_date)

# Yahoo Finance gives 'High', 'Low', 'Open', 'Close', 'Volume', 'Adj Close'.

#Export Close PRice, Volume, and Date from yahoo finance 

CloseP = df['Close']
CloseP.head()

Volm = df['Volume']
Volm.head()

Date = df["Date"] = df.index

#create a table with Date, Close Price, and Volume

Table = pd.DataFrame(np.array(Date), columns = ['Date'])
Table['Close Price'] = np.array(CloseP)
Table['Volume'] = np.array(Volm)




print (Table)

#create a column that contiosuly calculates 50 day MA
#This is what I can't get to work! 

MA = np.mean(df['Close'])
Table['Moving Average'] = np.array(MA)


print (Table)