title: Convert Numpy array to Pandas DataFrame column-wise (As Single Row)
body: <p>I have a numpy array looking like this:</p>
  
  <pre><code>a = np.array([35,2,160,56,120,80,1,1,0,0,1])
  </code></pre>
  
  <p>Then I'm trying to transform that array into pandas dataframe with logic "one column-one value" like this:</p>
  
  <pre><code>columns=['age','gender','height',
       'weight','ap_hi','ap_lo',
       'cholesterol','gluc','smoke',
       'alco','active']
  
  values = a
  
  df = pd.DataFrame(a,columns=columns)
  </code></pre>
  
  <p>This approach raises ValueError: Shape of passed values is (1, 11), indices imply (11, 11). What am I doing wrong and how to perform it in a right way?</p>
  
  <p>Thanks!</p>