1+ """
2+ 2889. Reshape Data: Pivot
3+ Solved
4+ Easy
5+ Companies
6+ Hint
7+ DataFrame weather
8+ +-------------+--------+
9+ | Column Name | Type |
10+ +-------------+--------+
11+ | city | object |
12+ | month | object |
13+ | temperature | int |
14+ +-------------+--------+
15+ Write a solution to pivot the data so that each row represents temperatures for a specific month, and each city is a separate column.
16+
17+ The result format is in the following example.
18+
19+ Example 1:
20+ Input:
21+ +--------------+----------+-------------+
22+ | city | month | temperature |
23+ +--------------+----------+-------------+
24+ | Jacksonville | January | 13 |
25+ | Jacksonville | February | 23 |
26+ | Jacksonville | March | 38 |
27+ | Jacksonville | April | 5 |
28+ | Jacksonville | May | 34 |
29+ | ElPaso | January | 20 |
30+ | ElPaso | February | 6 |
31+ | ElPaso | March | 26 |
32+ | ElPaso | April | 2 |
33+ | ElPaso | May | 43 |
34+ +--------------+----------+-------------+
35+ Output:
36+ +----------+--------+--------------+
37+ | month | ElPaso | Jacksonville |
38+ +----------+--------+--------------+
39+ | April | 2 | 5 |
40+ | February | 6 | 23 |
41+ | January | 20 | 13 |
42+ | March | 26 | 38 |
43+ | May | 43 | 34 |
44+ +----------+--------+--------------+
45+ Explanation:
46+ The table is pivoted, each column represents a city, and each row represents a specific month."
47+ """
48+ 49+ import pandas as pd
50+ 51+ def pivotTable (weather : pd .DataFrame ) -> pd .DataFrame :
52+ return weather .pivot_table (values = 'temperature' , index = 'month' , columns = 'city' )
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