title: How to sum multiple row values with groupby using pyspark?
body: <p>Given below is a pyspark dataframe and I need to sum the row values with groupby</p>
  <pre><code>load_dt|org_cntry|sum(srv_curr_vo_qty_accs_mthd)|sum(srv_curr_bb_qty_accs_mthd)|sum(srv_curr_tv_qty_accs_mthd)|
  +-------------------+---------+------------------------------+------------------------------+------------------------------+
  |2021-12-06 00:00:00|     null|                           NaN|                           NaN|                           NaN|
  |2021-12-06 00:00:00|   PANAMA|                      360126.0|                      214229.0|                      207950.0|
  
  </code></pre>
  <p><strong>condition:</strong></p>
  <p>1.groupby(load_dt,org_cntry)</p>
  <p>2.sum row values (sum(srv_curr_vo_qty_accs_mthd)|sum(srv_curr_bb_qty_accs_mthd)|sum(srv_curr_tv_qty_accs_mthd)|</p>
  <p><strong>expected output</strong></p>
  <pre><code>load_dt     org_cntry   total_sum
  2021-12-06  Panama       782305
  </code></pre>