Resolved: Is there an elegant way to iterate over index and one column of a pandas dataframe?

import pandas as pd
df = pd.DataFrame(index = [10, 20, 30])
df['A'] = [1, 2, 3]
df['B'] = [5, 7, 9]

# This is the part that feels like it could be more elegant
for i, v in zip(df.index, df['A']):
    print(i, v)

import pandas as pd
df = pd.DataFrame(index=[10, 20, 30])
df['A'] = [1, 2, 3]
df['B'] = [5, 7, 9]

for i, v in df['A'].items():
    print(i, v)

10 1
20 2
30 3