How to compare 2 columns of a dataframe values with possibilities that are in a list-CodePudding

I would like to compare 2 columns of a dataframe values with possibilities that are in a list.

I have this list :

lst=[[1, 1], [2, 1], [4, 1], [6, 2]] #[Poteau,depart]

and this dataframe :

data = {'poteau': [2, 6, 3, 4], 'depart': [1, 2, 3, 1]}
df = pd.DataFrame(data)

I'm expecting this kind of result :

I tried with df.isin() but it does not work as expected. Does somebody have an idea ? Thanks !

CodePudding user response：

You could merge with indicator and then filter:

merged = df.merge(pd.DataFrame(lst, columns=df.columns),how="left",indicator="Exist")
output = merged["Exist"].eq("both")

>>> output
0     True
1    False
2    False
3     True
Name: Exist, dtype: bool

CodePudding user response：

Not sure of the logic, you if you want to use isin and check whether either poteau or depart matches:

pot, dep = zip(*lst)

df['poteau'].isin(pot) | df['depart'].isin(dep)

output:

0     True
1     True
2    False
3     True
dtype: bool