Create a New Column
<pre>
DataFrame <code>employees</code>
+-------------+--------+
| Column Name | Type.  |
+-------------+--------+
| name        | object |
| salary      | int.   |
+-------------+--------+
</pre>

<p>A&nbsp;company plans to provide its employees with a bonus.</p>

<p>Write a solution to create a new column name <code>bonus</code> that contains the <strong>doubled values</strong> of the <code>salary</code> column.</p>

<p>The result format is in the following example.</p>

<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>

<pre>
<strong>Input:</strong>
DataFrame employees
+---------+--------+
| name    | salary |
+---------+--------+
| Piper   | 4548   |
| Grace   | 28150  |
| Georgia | 1103   |
| Willow  | 6593   |
| Finn    | 74576  |
| Thomas  | 24433  |
+---------+--------+
<strong>Output:</strong>
+---------+--------+--------+
| name    | salary | bonus  |
+---------+--------+--------+
| Piper   | 4548   | 9096   |
| Grace   | 28150  | 56300  |
| Georgia | 1103   | 2206   |
| Willow  | 6593   | 13186  |
| Finn    | 74576  | 149152 |
| Thomas  | 24433  | 48866  |
+---------+--------+--------+
<strong>Explanation:</strong> 
A new column bonus is created by doubling the value in the column salary.</pre>

[]
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    "employees = pd.DataFrame([], columns=['name', 'salary']).astype({'name':'object', 'salary':'Int64'})"
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  "database": true,
  "name": "createBonusColumn",
  "languages": [
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[]