title: Create a new column with 1 if the country's % Renewable is above median else 0
body: <p>There is a column called country's '% Renewable'. I want to create a column consisting of 1 if the value in the column is above the median value of the column and 0 if it is below the median value. Here is my code</p>
  
  <pre><code>def answer_ten():
      Top15 = answer_one()
      avg=Top15['% Renewable'].median(axis=0)
      print(avg)
      #print(Top15['% Renewable'])
      for value in Top15['% Renewable']:
          if(value&gt;=avg):
              Top15['HighRenew']=1
          else:
              Top15['HighRenew']=0
      print(Top15[['HighRenew','% Renewable']])
      Top15['HighRenew']=Top15['HighRenew'].sort_values(ascending = False)       
  
  answer_ten()
  </code></pre>
  
  <p>But the output I got is :</p>
  
  <pre><code>14.96908
                      HighRenew  % Renewable
  Country                                   
  Australia                   0    11.810810
  Brazil                      0    69.648030
  Canada                      0    61.945430
  China                       0     0.000000
  France                      0    17.020280
  Germany                     0    17.901530
  India                       0    14.969080
  Iran                        0     5.707721
  Italy                       0    33.667230
  Japan                       0    10.232820
  Russian Federation          0    17.288680
  South Korea                 0     2.279353
  Spain                       0    37.968590
  United Kingdom              0    10.600470
  United States               0    11.570980
  </code></pre>
  
  <p>The avg value is 14.96908.
  Thanx in advance.</p>