Build a numpy array from the rows of two dataframe

I have two DataFrames, I want to choose each rows of each one and stick them together to build an array.

import pandas as pd
df = pd.DataFrame()
df ['a'] = [1, 2, 3]
df ['b'] = [4, 7, 1]

df1 = pd.DataFrame()
df1 ['a'] = [3, 7, 8]
df1 ['b'] = [9, 2, 1]

for example, I want to choose the row 1 from two data frame and build an array as:

array([[1, 3],
   [4, 9]]) 

or for row 3, the output should be:

array([[3, 8],
   [1, 1]])

This is in a loop, and each time I need the array of each row.

>Solution :

You can use a simple approach as follow, the 2,2 size of the test is changed based on your df.

import numpy as np
test = np.zeros((2, 2))
test [0,:] = df.iloc[0,:]
test [1,:] = df1.iloc[0,:]
test = test.T

With a for loop, you can change the index of the df.iloc[i,:].