Hello
Here is my dataframe :
data = pds.DataFrame({'food': ['bacon','porc braisé','bacon','Pastrami','corned beef','BAcon','pastrami','jambon','saumon fumé'],gr' : [4,3,6,7.5,8,3,5,6,7]})
Here is my dict
nourr= { 'bacon':'porc','porc braisé':'porc', 'pastrami':'boeuf','corned beef':'boeuf','jambon':'porc','saumon fumé': 'poisson'}
Here is my mapping function for the new column of my dataframe :
data["animal"]=data["food"].map(lambda x: nourr[x.lower()])
But if there is a mismatch between the food column and the nourr dict, it throws an error. Is there a way to ignore this kind of error : e.g if 'bacon' is written like "bacond" :
KeyError: 'bacond'