如何解决我在将python数据例如股票数据导出到excel文档时遇到问题
我正在尝试将AAPL股票数据导入excel,并在excel文档中显示“高”列和“关闭”列。到目前为止,这是我的代码。
import numpy as np
import pandas as pd
import pandas_datareader as wb
import matplotlib.pyplot as plt
tickers = ['AAPL']
data = pd.DataFrame()
for t in tickers:
data[t] = wb.DataReader(t,data_source='yahoo',start='2007-01-01',end='2020-01-01')['Adj Close']
AAPL = wb.DataReader ('AAPL',data_source = 'yahoo',start = '2007-01-01')[['High','Adj Close']]
df=pd.DataFrame(data,columns = ['High','Adj Close'])
df.to_excel(r'C:\Users\Donnie\Desktop\Python_Practice.xlsx',sheet_name = 'Python',index = False,header = True)
解决方法
<body>
<div id="menu" align="center">
<a href="">
<div class="menuButtonStart">All Products</div></a>
<a href="">
<div class="menuButton">Frozen seafood</div></a>
<a href="">
<div class="menuButton">Dim Sum</div></a>
<a href="">
<div class="menuButton">Banquet Abalone</div></a>
<a href="">
<div class="menuButton">Froozen goods</div></a>
<a href="">
<div class="menuButton">Quality Accessories</div></a>
<a href="">
<div class="menuButton">Mid-autumn moon cakes</div></a>
</div>
<div id="A1">
<div class="picture"></div>
<p>Add a descripion</p>
</div>
<div id="B1">
<div class="picture"></div>
<p>Add a descripion</p>
</div>
<div id="C1">
<div class="picture"></div>
<p>Add a descripion</p>
</div>
<div id="D1">
<div class="picture"></div>
<p>Add a descripion</p>
</div>
<div id="A2">
<div class="picture"></div>
<p>Add a descripion</p>
</div>
<div id="B2">
<div class="picture"></div>
<p>Add a descripion</p>
</div>
<div id="C2">
<div class="picture"></div>
<p>Add a descripion</p>
</div>
<div id="D2">
<div class="picture"></div>
<p>Add a descripion</p>
</div>
</body>
我将其更改为AAPL,并且收到此错误...
import numpy as np
import pandas as pd
import pandas_datareader as wb
import matplotlib.pyplot as plt
tickers = ['AAPL']
data = pd.DataFrame()
for t in tickers:
data[t] = wb.DataReader(t,data_source='yahoo',start='2007-01-01',end='2020-01-01')['Adj Close']
AAPL = wb.DataReader ('AAPL',data_source = 'yahoo',start = '2007-01-01')[['High','Adj Close']]
AAPL=pd.DataFrame(data,columns = ['High','Adj Close'])
AAPL.to_excel(r'C:\Users\Donnie\Desktop\Python_Practice.xlsx',sheet_name = 'Python',index = False,header = True)
版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 dio@foxmail.com 举报,一经查实,本站将立刻删除。