I have this dataframe
| ind inc | xx cc |
|---|---|
| number one | one |
| number two | one |
| NaN | one |
So what i'm going to do
df['ind inc'] = df3.apply(lambda x:str(x.'ind inc')+str(x.['xx cc']) if str(x.['xx cc']) in str(x.'ind inc') else x.['ind inc'], axis=1)
And this code doesn't work. But if I change columns name on 1 word this will work. For example
| A | B |
|---|---|
| number one | one |
| number two | one |
| NaN | one |
df['B'] = df3.apply(lambda x:str(x.A)+str(x.B) if str(x.B) in str(x.A) else x.A, axis=1)
So my question is how to work with first dataframe where column name have more then 1 word?
