Pandas (4)

How to combine many series to form a dataframe?

# Input
import numpy as np
ser1 = pd.Series(list('abcedfghijklmnopqrstuvwxyz'))
ser2 = pd.Series(np.arange(26))

# Solution 1
df = pd.concat([ser1, ser2], axis=1)

# Solution 2
df = pd.DataFrame({'col1': ser1, 'col2': ser2})