title: How to merge rows by index value from two different dataframe using Python Pandas
body: <p>I am new in Python Pandas. I have two dataframe which contain some rows and column but data are not same on both the dataframe. I need to merge both the dataframe with same index value and fill the data from second dataframe in first dataframe in missing place</p>
  
  <p>DF1</p>
  
  <p><img src="https://i.stack.imgur.com/PR9M0.png" alt="enter image description here"></p>
  
  <p>DF2</p>
  
  <p><img src="https://i.stack.imgur.com/iZGLf.png" alt="enter image description here"></p>
  
  <p>Output_DF</p>
  
  <p><img src="https://i.stack.imgur.com/KXBEf.png" alt="enter image description here"></p>
  
  <pre><code>Output_DF = pd.concat([DF1, DF2])
  </code></pre>
  
  <p>The expected output should be like Output_DF file all the row values from DF2 will be merged with DF1 index and fill the missing place of the same index.</p>