title: Two dimensional Arrays: Calculating the sum across the rows and down the columns
body: <p>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.</p>
  <pre><code>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)
  </code></pre>
  <p>This is what I get when I run the command. I'm needing to generate a 2-dimensional array, not 1.</p>
  <pre><code>[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]
  </code></pre>