AttributeError: 'numpy.int64' object has no attribute 'to_pydatetime'

[flyingsandwich1]

Having this error running the last cell on the multiple stock trading on Jupyter. I'm very confused on how to fix it, given i was running this on google colab fine without changing anything. It shows the backtest table, but fails to show any of the plots. Can anybody help out with this?

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_3252/2064601725.py in <module>
      4 # Dow Jones Index: ^DJI
      5 # NASDAQ 100: ^NDX
----> 6 backtest_plot(df_account_value, 
      7              baseline_ticker = '^DJI',
      8              baseline_start = df_account_value.loc[0,'date'],

~\ThesisDeliverables\finrl\plot.py in backtest_plot(account_value, baseline_start, baseline_end, baseline_ticker, value_col_name)
     63 
     64     with pyfolio.plotting.plotting_context(font_scale=1.1):
---> 65         pyfolio.create_full_tear_sheet(
     66             returns=test_returns, benchmark_rets=baseline_returns, set_context=False
     67         )

~\anaconda\lib\site-packages\pyfolio\tears.py in create_full_tear_sheet(returns, positions, transactions, market_data, benchmark_rets, slippage, live_start_date, sector_mappings, bayesian, round_trips, estimate_intraday, hide_positions, cone_std, bootstrap, unadjusted_returns, style_factor_panel, sectors, caps, shares_held, volumes, percentile, turnover_denom, set_context, factor_returns, factor_loadings, pos_in_dollars, header_rows, factor_partitions)
    199                                      positions, transactions)
    200 
--> 201     create_returns_tear_sheet(
    202         returns,
    203         positions=positions,

~\anaconda\lib\site-packages\pyfolio\plotting.py in call_w_context(*args, **kwargs)
     52                 return func(*args, **kwargs)
     53         else:
---> 54             return func(*args, **kwargs)
     55     return call_w_context
     56 

~\anaconda\lib\site-packages\pyfolio\tears.py in create_returns_tear_sheet(returns, positions, transactions, live_start_date, cone_std, benchmark_rets, bootstrap, turnover_denom, header_rows, return_fig)
    502                              header_rows=header_rows)
    503 
--> 504     plotting.show_worst_drawdown_periods(returns)
    505 
    506     vertical_sections = 11

~\anaconda\lib\site-packages\pyfolio\plotting.py in show_worst_drawdown_periods(returns, top)
   1662     """
   1663 
-> 1664     drawdown_df = timeseries.gen_drawdown_table(returns, top=top)
   1665     utils.print_table(
   1666         drawdown_df.sort_values('Net drawdown in %', ascending=False),

~\anaconda\lib\site-packages\pyfolio\timeseries.py in gen_drawdown_table(returns, top)
   1006         df_drawdowns.loc[i, 'Peak date'] = (peak.to_pydatetime()
   1007                                             .strftime('%Y-%m-%d'))
-> 1008         df_drawdowns.loc[i, 'Valley date'] = (valley.to_pydatetime()
   1009                                               .strftime('%Y-%m-%d'))
   1010         if isinstance(recovery, float):

AttributeError: 'numpy.int64' object has no attribute 'to_pydatetime'