TypeError: type object argument after * must be an iterable, not float

[AwesomeCap]

I tested the code in Python3.7:

from yahoo_historical import Fetcher
import datetime
import time

# create unix timestamp representing January 1st, 2007
timestamp = time.mktime(datetime.datetime(2007, 1, 1).timetuple())

data = Fetcher("AAPL", timestamp)
print(data.get_historical())

And I got:

---

TypeError Traceback (most recent call last)
/var/folders/5z/nfxgl_ps6qlf5tvrct964q980000gn/T/ipykernel_77052/2760101674.py in
6 timestamp = time.mktime(datetime.datetime(2007, 1, 1).timetuple())
7
----> 8 data = Fetcher("AAPL", timestamp)
9 print(data.get_historical())

/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/yahoo_historical/fetch.py in init(self, ticker, start, end, interval)
20 self.ticker = ticker.upper()
21 self.interval = interval
---> 22 self.start = int(cal.timegm(dt.datetime(*start).timetuple()))
23
24 if end is not None:

TypeError: type object argument after * must be an iterable, not float

[belugame]

Could you use a later python version? 3.7 will be deprecated in only a few months.
Your code snippet works fine with 3.11:

Python 3.11.1 (main, Dec 31 2022, 10:23:59) [GCC 12.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from yahoo_historical import Fetcher
>>> import datetime
>>> import time
>>> 
>>> # create unix timestamp representing January 1st, 2007
>>> timestamp = time.mktime(datetime.datetime(2007, 1, 1).timetuple())
>>> 
>>> data = Fetcher("AAPL", timestamp)
>>> print(data.get_historical())
            Date        Open        High         Low       Close   Adj Close      Volume
0     2007-01-03    3.081786    3.092143    2.925000    2.992857    2.551165  1238319600
1     2007-01-04    3.001786    3.069643    2.993571    3.059286    2.607790   847260400
2     2007-01-05    3.063214    3.078571    3.014286    3.037500    2.589219   834741600
3     2007-01-08    3.070000    3.090357    3.045714    3.052500    2.602006   797106800
4     2007-01-09    3.087500    3.320714    3.041071    3.306071    2.818154  3349298400
...          ...         ...         ...         ...         ...         ...         ...
4050  2023-02-03  148.029999  157.380005  147.830002  154.500000  154.500000   154279900
4051  2023-02-06  152.570007  153.100006  150.779999  151.729996  151.729996    69858300
4052  2023-02-07  150.639999  155.229996  150.639999  154.649994  154.649994    83322600
4053  2023-02-08  153.880005  154.580002  151.169998  151.919998  151.919998    64120100
4054  2023-02-09  153.779999  154.330002  150.419998  150.869995  150.869995    55921800

[4055 rows x 7 columns]

[AwesomeCap]

Big thanks belugame!

[AndrewRPorter]

Thanks for reporting! This should definitely still be working in Python 3.7