Cerebro crashing with bt.feeds.PandasData when data contains different timezone

[kegan]

I am using Yahoo Finance with 15m data. Due to the daylight saving, the timezone in the dates are different from one day to another.

For example (note the -04:00 vs -05:00 in the Datetime):

Datetime,Open,High,Low,Close,Volume
2020-10-30 15:45:00-04:00,108.43499755859375,109.0,107.87999725341797,108.94499969482422,13274860
2020-11-02 09:30:00-05:00,109.11000061035156,110.68000030517578,109.11000061035156,110.22000122070312,14459826

This causes Cerebro to crash with bt.feeds.PandasData, with the following error:

  File "/Users/kegan/.pyenv/versions/backyahoo/lib/python3.8/site-packages/backtrader/feeds/pandafeed.py", line 268, in _load
    dt = tstamp.to_pydatetime()
AttributeError: 'datetime.datetime' object has no attribute 'to_pydatetime'

If I only use data with one timezone then it does not crash. For example any of these two by themselves independently is OK:

This is OK.

Datetime,Open,High,Low,Close,Volume
2020-10-30 15:45:00-04:00,108.43499755859375,109.0,107.87999725341797,108.94499969482422,13274860

And this is also OK.

Datetime,Open,High,Low,Close,Volume
2020-11-02 09:30:00-05:00,109.11000061035156,110.68000030517578,109.11000061035156,110.22000122070312,14459826

Here is my code:

import os
import backtrader as bt
import backtrader.feeds as btfeeds
import pandas as pd

# Create a Stratey
class TestStrategy(bt.Strategy):

    def next(self):
        pass

def main():

    DATA = 'data.csv'

    # Create a cerebro entity
    cerebro = bt.Cerebro()

    # Add a strategy
    cerebro.addstrategy(TestStrategy)

    # Add the Data Feed to Cerebro
    dataframe = pd.read_csv(DATA, parse_dates=True, index_col='Datetime')
    data = bt.feeds.PandasData(dataname=dataframe)

    cerebro.adddata(data)
    cerebro.run()

if __name__ == '__main__':
    main()

Is there a way to fix this?

Also, where do I submit bug report? (GitHub Issues seems to have been turn-off).