[python] invalid literal for int() with base 16 error handling.

Data Type: DataFrame

data["nom_5"] = int(str(data["nom_5"].values),16)

Error: invalid literal for int() with base 16: "[50f116bcf', 'b3b4d25d0', '3263bdce5' ... '488406659' 'f9d17bb93'\n 'a5c276589']"

"['50f116bcf' 'b3b4d25d0' '3263bdce5' ... '488406659' 'f9d17bb93'\n 'a5c276589']" This data["nom_5"] value.

I'm tying it up here in error.