Iterate Over columns in pandas dataframe using list comprehension

Question

I would like to pefrom following operation using list comprehension:

import numpy as np
import pandas as pd
import seaborn as sns

df = sns.load_dataset('tips')
df.head()

for i in df.columns:
    print(df.loc[:, i].is_unique)

Using [x.is_unique for x in df.loc[:, i] for i in df.columns] does not work

Answer 1

Use Series.is_unique with one for:

out = [df[i].is_unique for i in df.columns]

Alternative solution (I prefer first for more clear iterate by columns):

out = [df[i].is_unique for i in df]