I have a pandas dataframe data that looks like this

```
    MED1    MED2    MED3    MED4    MED5
0   60735   24355   33843   16475   9995
1   10126   5789    17165   90000   90000
2   5789    19675   30553   90000   90000
3   60735   17865   34495   90000   90000
4   19675   5810    90000   90000   90000

```

​I want to create a new bool column "med" that has True/False based on ​60735 in the columns MED1...MED5
I am trying this and am not sure how to make it work.

```
DF['med'] = (60735 in [DF['MED1'], DF['MED2']])

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()

```

MED1..MED5 represent drugs being taken by a patient at a hospital visit.
I have a list of about 20 drugs for which I need to know if the patien was taking them. Each drug is coded with a number but has a name. A nice solution would look something like (below) but how do I do this with pandas.

```
drugs = {'drug1':60735, 'drug2':5789}  
for n in drugs.keys():
    DF[n] = drugs[n] in DF[['MED1', 'MED2', 'MED3', 'MED4', 'MED5']]

```