Check if all list values in dataframe column are the same

Asked Jun 26 '20 at 13:31

Active Jun 26 '20 at 14:02

Viewed 35 times

I have a pandas dataframe with one of the column as a list:

df =
                        list_column
             0         [a b c d ...]
             1         [a b c d ...]
             2         [b a c d ...]
             ...        ...

How to check if list in all the rows for list_column are identical? In the above example, expected output is False because row 2 has a different list. Lists should be identical in the order in which the elements are present and not just merely the elements themselves.

I tried the solution from here: It gives me an error:

AttributeError: 'bool' object has no attribute 'all'

asked Jun 26 '20 at 13:31

learner

`len(df['list_column'].unique())==1` ? – anky Jun 26 '20 at 13:32
`TypeError: unhashable type: 'list'` – learner Jun 26 '20 at 13:34
same error. `TypeError: unhashable type: 'list'`, with paranthesis update. – learner Jun 26 '20 at 13:36
2

ahh okay , the column is of lists my bad , try `df['list_column'].map(tuple).nunique()==1` ? – anky Jun 26 '20 at 13:38

Check if all list values in dataframe column are the same

0 Answers0