title: How can I make a pandas dataframe out of multiple numpy arrays
body: <p>I have 2 arrays as below that I want to be converted to dataframe columns: </p>
  
  <pre><code>arr1 = np.array([2, 4, 6, 8])
  arr2 = np.array([3, 6, 9, 12])
  df_from_arr = pd.DataFrame(data=[arr1, arr2])
  print(df_from_arr)
  </code></pre>
  
  <p>Actual Output: </p>
  
  <pre><code>   0  1  2   3
  0  2  4  6   8
  1  3  6  9  12
  </code></pre>
  
  <p>Expected output: </p>
  
  <pre><code>   0  1 
  0  2  4 
  1  4  6
  2  6  9
  3  8  12 
  </code></pre>
  
  <p>How can I get the expected output?</p>