It’s just the way you think it would be, apply
accepts args
and kwargs
and passes them directly to some_func
.
df.apply(some_func, var1='DOG', axis=1)
Or,
df.apply(some_func, args=('DOG', ), axis=1)
0 foo-x-DOG
1 bar-y-DOG
dtype: object
If for any reason that won’t work for your use case, then you can always fallback to using a lambda:
df.apply(lambda row: some_func(row, 'DOG'), axis=1)
0 foo-x-DOG
1 bar-y-DOG
dtype: object