Creating New Column Based On Whether The Letter 'l' Or 'l' Is In The String Of Another Column

I am working with the Open Food Facts dataset which is very messy. There is a column called quantity in which in information about the quantity of respective food. the entries loo

Solution 1:

Use str.contains with case=False for boolean mask and convert it to integers by Series.astype:

df['is_liquid']= df['liquids'].str.contains('L', case=False).astype(int)
print(df)
          liquids  is_liquid
0  365 g (314 ml)          1
1           992 g          0
2         2.46 kg          0
3      0,33 litre          1
4         15.87oz          0
5         250 ml           1
6             1 L          1
7           33 cl          1