Two dimensional Arrays: Calculating the sum across the rows and down the columns

I’m attempting to calculate the sum across the rows and down the columns. I’ve generated the randomization and rearranged the values. Here is a reproducible example.

import numpy as np 
import pandas as pd

# Generate randomized numbers 
np.random.seed(101)
array = np.random.randint(50, size = 20)
print(array)

# Arrange columns 
arr = array.reshape(5, 4).T
columns = arr[0, :].astype(str)
data = arr[0:].astype(float)
df = pd.DataFrame(data, columns=columns)
print(df)

#Calculate the sum of the rows 
row = arr
row_array = row.sum(1)
print(row_array)

This is what I get when I run the command. I’m needing to generate a 2-dimensional array, not 1.

[31 11 17  6 23 11 47  9 13 40  4 40 28  0 46  5 12 29 40 49]
31.0  23.0  13.0  28.0  12.0
0  31.0  23.0  13.0  28.0  12.0
1  11.0  11.0  40.0   0.0  29.0
2  17.0  47.0   4.0  46.0  40.0
3   6.0   9.0  40.0   5.0  49.0
[107  91 154 109]