GAFATA股票数据分析

Sat, 11 Apr 2026 19:27:54 +0000

1import pandas as pd 
2import matplotlib.pyplot as plt

1gupiao={'谷歌':'GOOG','亚马逊':'AMZN','Facebook':'FB',
2            '苹果':'AAPL','阿里巴巴':'BABA','腾讯':'0700.hk'}

1from pandas_datareader import data

阿里巴巴

1start_date = '2017-01-01'
2end_date = '2018-01-01'
3ali=data.get_data_yahoo(gupiao["阿里巴巴"],start_date,end_date)

1ali.head()

             High        Low       Open      Close    Volume  Adj Close

Date
2017-01-03 89.000000 88.080002 89.000000 88.599998 8789400 88.599998 2017-01-04 90.889999 88.580002 88.985001 90.510002 11490200 90.510002 2017-01-05 94.809998 91.639999 91.910004 94.370003 16821500 94.370003 2017-01-06 94.500000 93.000000 94.400002 93.889999 7639800 93.889999 2017-01-09 95.650002 93.309998 94.160004 94.720001 10792900 94.720001

1def  change(column):
2    prichange=(column[column.size-1]-column[0])/column[0]
3    if (prichange > 0):
4        print("股票累计上涨：",prichange*100,"%")
5    elif (prichange == 0):
6        print("股票基本不变：",prichange*100,"%")
7    else :
8        print("股票累计下跌：",prichange*100,"%")
9    return prichange

1alichange=change(ali["Low"])

股票累计上涨： 94.36874817125808 %

股票 on Clarity

GAFATA股票数据分析

阿里巴巴