I was trying to retrieve modred descriptors precalculated from Papyrus.
It keeps giving me errors related to columns datatype being int instead of float and that pandas cant force it to become int.
the error message captured is
"cannot safely convert passed user dtype of int64 for float64 dtyped data in column 1169"
previously this appeared in col 1011, and col 1090.
This gets only resolved if I edit the data_types json files and change the affected cols to float.
May be there is a better way to resolve this, or include the solution in the next release.
Hi,
I was trying to retrieve modred descriptors precalculated from Papyrus. It keeps giving me errors related to columns datatype being int instead of float and that pandas cant force it to become int. the error message captured is "cannot safely convert passed user dtype of int64 for float64 dtyped data in column 1169" previously this appeared in col 1011, and col 1090.
This gets only resolved if I edit the data_types json files and change the affected cols to float. May be there is a better way to resolve this, or include the solution in the next release.
Thanks a lot.