the investpy tries to convert them to float and raises an error, I've added a try block to display nans instead. I think it's fair to let the user decide if nans are okay values and raise an error on their side instead of introducing error='surpass' argument.
Hi all,
so far, if there is financial information missing e.g. earnings like in: https://www.investing.com/equities/glencore-financial-summary
the investpy tries to convert them to float and raises an error, I've added a try block to display nans instead. I think it's fair to let the user decide if nans are okay values and raise an error on their side instead of introducing error='surpass' argument.
Happy to discuss.
Best
Dani