Python Enumeration/row Counter In A Pandas Column

Hello fellow stackoverflowers, New to the community with a Python (pandas/numpy) question. I'm using pandas and numpy to create a sample dataframe for testing. However, for severa

Solution 1:

N = 10

---

As a single step, you could use range:

sample_data = pd.DataFrame({       
        'A': np.random.rand(N), 
        'B' : range(1, N + 1)}
     )

print(sample_data)

          A   B
00.037303110.693972220.725926330.110817440.889411550.138220660.738190770.695298880.912171990.60139010

---

You can use enumerate as well, but you'll need to re-arrange the columns:

sample_data = pd.DataFrame(list(enumerate(np.random.rand(N), 1)),        
                     columns=['B', 'A'])[['A', 'B']]print(sample_data)

          A   B
00.431247110.004129220.321802330.866617440.805049550.767841660.677050770.293936880.923059990.95395410

---

As an alternative, why not just use the index that the constructor automatically creates?

sample_data = pd.DataFrame({       
       'A': np.random.rand(N)})

sample_data['B'] = sample_data.index + 1print(sample_data)

          A   B
00.117788110.177268220.762664330.667486440.531079550.291939660.066751770.497935880.883126990.59804810