import pandas as pd
Get a suitable data set and put it in a DataFrame.
from sklearn.datasets import load_boston
boston = load_boston()
df = pd.DataFrame(boston.data, columns=boston['feature_names'])
Add a dummy index column.
df.insert(0, 'ID', 100000 + df.index)
df.head(10)
Another way to do it, is to reset the index.
df = pd.DataFrame(boston.data, columns=boston['feature_names'])
df = df.reset_index()
df.head(10)