Broken jupyter notebook examples -

[serendipitouscoder]

Hi there,
I am trying to run the example notebook on the google colab.
The following line of code in the notebook "FinRL_PaperTrading_Demo.ipynb" is broken -

data = DP.download_data(start_date = '2021-10-04',
end_date = '2021-10-08',
ticker_list = ticker_list,
time_interval= '1Min')

It produced the following error:

AttributeError Traceback (most recent call last)

Cell In[22], line 1
----> 1 data = DP.download_data(start_date = '2021-10-04',
2 end_date = '2021-10-08',
3 ticker_list = ticker_list,
4 time_interval= '1Min')

File /usr/local/lib/python3.10/site-packages/finrl/meta/data_processor.py:37, in DataProcessor.download_data(self, ticker_list, start_date, end_date, time_interval)
34 def download_data(
35 self, ticker_list, start_date, end_date, time_interval
36 ) -> pd.DataFrame:
---> 37 df = self.processor.download_data(
38 ticker_list=ticker_list,
39 start_date=start_date,
40 end_date=end_date,
41 time_interval=time_interval,
42 )
43 return df

File /usr/local/lib/python3.10/site-packages/finrl/meta/data_processors/processor_alpaca.py:52, in AlpacaProcessor.download_data(self, ticker_list, start_date, end_date, time_interval)
49 # from trepan.api import debug;debug()
50 # filter opening time of the New York Stock Exchange (NYSE) (from 9:30 am to 4:00 pm) if time_interval < 1D
51 day_delta = 86400000000000 # pd.Timedelta('1D').delta == 86400000000000
---> 52 if pd.Timedelta(time_interval).delta < day_delta:
53 NYSE_open_hour = "14:30" # in UTC
54 NYSE_close_hour = "20:59" # in UTC

AttributeError: 'Timedelta' object has no attribute 'delta'

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

I think this is due to a library version incompatibility. It is in the alpaca library. I should be able to fix it locally on my own installation but I think it would be best if it was fixed on your current development branch.

Any advice would be appreciated.

Many thanks.

Wazed

[abdulazeezb]

Hello @serendipitouscoder, It is because of pandas new release
Kindly pandas version !pip install pandas==1.5.3