import math
import pandas_datareader.data as web
import matplotlib.pyplot as plot
from datetime import datetime
from matplotlib import style
style.use('ggplot')
import csv
with open('sp500const.csv', newline='') as File:
reader = csv.reader(File)
dataa=[]
for i in reader:
dataa.extend(i)
Dates=[]
Prices=[]
Tick=[]
for stock in dataa[2:100]:
for year in range(2010,2019):
if year==2012:
start = datetime(year,5,1)
end=datetime(year,5,1)
f = web.DataReader(stock, 'morningstar', start, end)
temp=f['Close']
Prices.append(float(temp))
Dates.append(end.strftime('%m/%d/%Y'))
Tick.append(stock)
elif year==2013:
start=datetime(year,5,3)
end=datetime(year,5,3)
f = web.DataReader(stock, 'morningstar', start, end)
temp=f['Close']
Prices.append(float(temp))
Dates.append(end.strftime('%m/%d/%Y'))
Tick.append(stock)
elif year==2014:
start=datetime(year,5,5)
end=datetime(year,5,5)
f = web.DataReader(stock, 'morningstar', start, end)
temp=f['Close']
Prices.append(float(temp))
Dates.append(end.strftime('%m/%d/%Y'))
Tick.append(stock)
else:
start=datetime(year,5,4)
end=datetime(year,5,4)
f = web.DataReader(stock, 'morningstar', start, end)
temp=f['Close']
Prices.append(float(temp))
Dates.append(end.strftime('%m/%d/%Y'))
Tick.append(stock)
#datetime(Year,Month,Days)
x=[Tick,Dates,Prices]
z=[list(i) for i in zip(*x)]
print(z)
我想下载S& 500成分的数据,其中的代码在2011年至2018年的sp500const.csv文件[维基百科上报道的代号]中。当我更改要下载的代码数量时(例如在代码中,我想下载代码数据的股票价格[2:100])。当我选择例如数据[2:4]时,代码完美无缺。我收到以下错误:
追踪(最近一次呼叫最后一次):
File "<ipython-input-5-5592627b16bf>", line 44, in <module>
f = web.DataReader(stock, 'morningstar', start, end)
File "C:\Users\coxs\Miniconda3\lib\site-packages\pandas_datareader\data.py", line 391, in DataReader
session=session, interval="d").read()
File "C:\Users\coxs\Miniconda3\lib\site-packages\pandas_datareader\mstar\daily.py", line 219, in read
df = self._dl_mult_symbols(symbols=symbols)
File "C:\Users\coxs\Miniconda3\lib\site-
packages\pandas_datareader\mstar\daily.py", line 126, in _dl_mult_symbols
jsondata=jsondata)
File "C:\Users\coxs\Miniconda3\lib\site-packages\pandas_datareader\mstar\daily.py", line 164, in _restruct_json
volumes = jsondata["VolumeList"]["Datapoints"]
TypeError: 'NoneType' object is not subscriptable
答案 0 :(得分:-1)
使用&#34;尝试&#34; &#34;除了&#34;声明。这应该避免返回错误并停止循环。问题应该来自API输出,因此您将丢失数据。