How can I make a Pandas Series with a MultiIndex axes value take a DatetimeIndex for reindexing?

Question

Still a bit new to Pandas so I am trying to follow this tutorial here: https://www.learndatasci.com/tutorials/python-finance-part-yahoo-finance-api-pandas-matplotlib/

However, it seems a bit dated and I had to convert the data feed to pull from Tiingo instead. Otherwise trying to follow the tutorial as is and I run into an exception every time on the reindex call. Here's the exception:

...site-packages\pandas\core\indexes\multi.py", line 483, in from_tuples
arrays = list(lib.tuples_to_object_array(tuples).T)
TypeError: Argument 'tuples' has incorrect type (expected numpy.ndarray, got DatetimeArray)

Here's my version of the code.

import pandas as pd
import pandas_datareader as pdr

start_date = '2019-8-27'
end_date = '2019-8-30'

panel_data = pdr.get_data_tiingo('GLD', start=start_date, end=end_date, api_key='[REDACTED]')
close = panel_data['close']
all_weekdays = pd.date_range(start=start_date, end=end_date, freq='B')
close = close.reindex(all_weekdays)

The tutorial makes it seem like everything up to this point should just work, but I get the TypeError exception on that reindex() call. Why?

I did try throwing a .to_numpy() after all_weekdays to satisfy the exception message but it still gives me the same exception including saying that it's a DatetimeArray.

Debugging so far makes me think that it's having issues because the close series axes is set to a MultiIndex containing both symbol and date columns as the print output shows here.

[MultiIndex([('GLD', '2019-08-27 00:00:00+00:00'),
            ('GLD', '2019-08-28 00:00:00+00:00'),
            ('GLD', '2019-08-29 00:00:00+00:00'),
            ('GLD', '2019-08-30 00:00:00+00:00')],
           names=['symbol', 'date'])]

This might make it have problems if it's reindexing against a simple list of dates in the form of the DatetimeIndex that is all_weekdays.

DatetimeIndex(['2019-08-27', '2019-08-28', '2019-08-29', '2019-08-30'], dtype='datetime64[ns]', freq='B')

Do I need to coerce one index to match the other before reindexing? If so, how would I go about doing this? If not, what's an equivalent workaround to unblock me in this tutorial?