map multiple columns by a single dictionary in pandas

Question

I have a DataFrame with a multiple columns with \'yes\' and \'no\' strings. I want all of them to convert to a boolian dtype. To map one column, I would use

Answer 1

You could use a stack/unstack idiom

df.stack().map(dict_map_yn_bool).unstack()

Using @jezrael's setup

df = pd.DataFrame({'nearby_subway_station':['yes','no'], 'Station':['no','yes']})
dict_map_yn_bool={'yes':True, 'no':False}

Then

df.stack().map(dict_map_yn_bool).unstack()

  Station nearby_subway_station
0   False                  True
1    True                 False

---

timing
small data

bigger data