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46 lines
1.6 KiB
HTML
46 lines
1.6 KiB
HTML
<pre>
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DataFrame <code>weather</code>
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+-------------+--------+
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| Column Name | Type |
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+-------------+--------+
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| city | object |
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| month | object |
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| temperature | int |
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+-------------+--------+
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</pre>
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<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>
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<p>The result format is in the following example.</p>
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<p> </p>
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<pre>
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<strong class="example">Example 1:</strong>
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<strong>Input:</strong>
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+--------------+----------+-------------+
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| city | month | temperature |
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+--------------+----------+-------------+
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| Jacksonville | January | 13 |
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| Jacksonville | February | 23 |
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| Jacksonville | March | 38 |
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| Jacksonville | April | 5 |
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| Jacksonville | May | 34 |
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| ElPaso | January | 20 |
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| ElPaso | February | 6 |
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| ElPaso | March | 26 |
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| ElPaso | April | 2 |
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| ElPaso | May | 43 |
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+--------------+----------+-------------+
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<strong>Output:</strong><code>
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+----------+--------+--------------+
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| month | ElPaso | Jacksonville |
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+----------+--------+--------------+
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| April | 2 | 5 |
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| February | 6 | 23 |
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| January | 20 | 13 |
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| March | 26 | 38 |
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| May | 43 | 34 |
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+----------+--------+--------------+</code>
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<strong>Explanation:
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</strong>The table is pivoted, each column represents a city, and each row represents a specific month.</pre>
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