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It seems to be a randomly occurring event that cell four is run it generates the following error
I will work later this week to add an 'issue template' for ongoing use, but I'm attempting to run this inside a VM on macOS Catalina, in PyCharm using a JupyterNotebook cell. It was running this weekend just fine, although fine being subjective that it only displayed data up to 2018, but it worked all 1500 lines were working.
I'm wondering if this is a 'delicate data' issue that comes with MorningStar or maybe do I have to instantiate the SQL database? For the MorningStar data, I have found two rough methods to access the data via a scrape, one is just table values the other is pandas data frame ready.
How can the 'cutoff_date = df_updated_ct[df_updated_ct['ticker'] > 100].index[0] - DT.timedelta(days=cutoff_days)' generate a zero index value.
Maybe we should look at writing some tests that are run to ensure data is being grabbed and that the database is active? Will continue to work on this.
The text was updated successfully, but these errors were encountered:
It seems to be a randomly occurring event that cell four is run it generates the following error
I will work later this week to add an 'issue template' for ongoing use, but I'm attempting to run this inside a VM on macOS Catalina, in PyCharm using a JupyterNotebook cell. It was running this weekend just fine, although fine being subjective that it only displayed data up to 2018, but it worked all 1500 lines were working.
I'm wondering if this is a 'delicate data' issue that comes with MorningStar or maybe do I have to instantiate the SQL database? For the MorningStar data, I have found two rough methods to access the data via a scrape, one is just table values the other is pandas data frame ready.
How can the 'cutoff_date = df_updated_ct[df_updated_ct['ticker'] > 100].index[0] - DT.timedelta(days=cutoff_days)' generate a zero index value.
Maybe we should look at writing some tests that are run to ensure data is being grabbed and that the database is active? Will continue to work on this.
The text was updated successfully, but these errors were encountered: