I have a dataframe like as shown below

```
df = pd.DataFrame({'person_id': [101,101,101,101],
                   'sourcename':['test1','test2','test3','test4'],
                            'Test':[np.nan,np.nan,'B5','B6']})

```

What I would like to do is copy `non-na` rows from `Test` column and paste it in corresponding row under `sourcename` column

When I tried the below, it makes the other rows of `sourcename` column as `NA`

```
df['sourcename'] = df.loc[df['Test'].notna()]['Test']

```

I expect my output to be like as shown below

[![enter image description here](https://i.stack.imgur.com/rZ6x3.png)](https://i.stack.imgur.com/rZ6x3.png)