Question #693071 on Yade changed: https://answers.launchpad.net/yade/+question/693071
[email protected] posted a new comment: The ValueError: cannot convert float NaN to integer raised because of Pandas doesn't have the ability to store NaN values for integers. From Pandas v0.24, introduces Nullable Integer Data Types which allows integers to coexist with NaNs. This does allow integer NaNs . This is the pandas integer, instead of the numpy integer. So, use Nullable Integer Data Types (e.g. Int64). df['x'].astype('Int64') http://net-informations.com/ds/err/nan.htm -- You received this question notification because your team yade-users is an answer contact for Yade. _______________________________________________ Mailing list: https://launchpad.net/~yade-users Post to : [email protected] Unsubscribe : https://launchpad.net/~yade-users More help : https://help.launchpad.net/ListHelp
