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Does this dataframe look correct?

linux mint 19.3, python 3.6

I wrote a program to download stock info from yahoo using yfinance. I 
have been running it unchanged for the past 3 months, today it gave an 
error. When looping through a list of stocks the error is random, never 
the same position in the list.

I wrote the following little test script to show the error:

import yfinance as yf
import pandas as pd
day = '2020-06-25'
aapl = yf.Ticker('AAPL')
hist = aapl.history(start=day)
close = hist.loc[day]['Close']

I ran it 10 times 8 times I got a dataframe and 2 times I got the error 
shown below:

(env36) jfb at jims-mint18 ~ $ /home/jfb/EVs/env36/bin/python3 
               Open    High     Low   Close    Volume

2020-06-25  360.70  365.00  357.57  364.84  34380600
2020-06-26  364.41  365.32  353.02  353.63  51270100

(env36) jfb at jims-mint18 ~ $ /home/jfb/EVs/env36/bin/python3 
Traceback (most recent call last):
   File "/home/jfb/Dev/Python/", line 13, in <module>
     hist = aapl.history(start=day)
"/home/jfb/EVs/env36/lib/python3.6/site-packages/yfinance/", line 
155, in history
     data = data.json()
line 897, in json
     return complexjson.loads(self.text, **kwargs)
line 518, in loads
     return _default_decoder.decode(s)
line 370, in decode
     obj, end = self.raw_decode(s)
line 400, in raw_decode
     return self.scan_once(s, idx=_w(s, idx).end())
simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

I don't know pandas that well. My only contact with it is when a module 
I am using depends on it. So does the dataframe look correct?

The error complains of line 1, column 1. Just looking at the dataframe 
it looks like Date is on a different line from the rest of the headers 
or is that just the result of being printed in the terminal?

On the yfinance github issues page there were a few people reporting 
this error. A couple of people reported a work around using try/except. 
It worked for some people and not others. It didn't work for me.

I'd appreciate any advice you could give.

Thanks,  Jim