Add uuid to a new column in a pandas DataFrame

Question

I'm looking to add a uuid for every row in a single new column in a pandas DataFrame. This obviously fills the column with the same uuid:

import uuid
import pandas as pd
import numpy as np

df = pd.DataFrame(np.random.randn(4,3), columns=list('abc'),
                  index=['apple', 'banana', 'cherry', 'date'])
df['uuid'] = uuid.uuid4()
print(df)

               a         b         c                                  uuid
apple   0.687601 -1.332904 -0.166018  34115445-c4b8-4e64-bc96-e120abda1653
banana -2.252191 -0.844470  0.384140  34115445-c4b8-4e64-bc96-e120abda1653
cherry -0.470388  0.642342  0.692454  34115445-c4b8-4e64-bc96-e120abda1653
date   -0.943255  1.450051 -0.296499  34115445-c4b8-4e64-bc96-e120abda1653

What I am looking for is a new uuid in each row of the 'uuid' column. I have also tried using .apply() and .map() without success.

Answer 1

This is one way:

df['uuid'] = [uuid.uuid4() for _ in range(len(df.index))]