Given below is a pyspark dataframe and I need to sum the row values with groupby

```
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|

```

**condition:**

1.groupby(load\_dt,org\_cntry)

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)|

**expected output**

```
load_dt     org_cntry   total_sum
2021-12-06  Panama       782305

```