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<pre>
DataFrame <code>weather</code>
+-------------+--------+
| Column Name | Type |
+-------------+--------+
| city | object |
| month | object |
| temperature | int |
+-------------+--------+
</pre>
<p>Write a solution to <strong>pivot</strong> the data so that each row represents temperatures for a specific month, and each city is a separate column.</p>
<p>The result format is in the following example.</p>
<p>&nbsp;</p>
<pre>
<strong class="example">Example 1:</strong>
<strong>Input:</strong>
+--------------+----------+-------------+
| city | month | temperature |
+--------------+----------+-------------+
| Jacksonville | January | 13 |
| Jacksonville | February | 23 |
| Jacksonville | March | 38 |
| Jacksonville | April | 5 |
| Jacksonville | May | 34 |
| ElPaso | January | 20 |
| ElPaso | February | 6 |
| ElPaso | March | 26 |
| ElPaso | April | 2 |
| ElPaso | May | 43 |
+--------------+----------+-------------+
<strong>Output:</strong><code>
+----------+--------+--------------+
| month | ElPaso | Jacksonville |
+----------+--------+--------------+
| April | 2 | 5 |
| February | 6 | 23 |
| January | 20 | 13 |
| March | 26 | 38 |
| May | 43 | 34 |
+----------+--------+--------------+</code>
<strong>Explanation:
</strong>The table is pivoted, each column represents a city, and each row represents a specific month.</pre>