Question

2889. Reshape Data Pivot

中文文档

Description

DataFrame weather
+-------------+--------+
| Column Name | Type   |
+-------------+--------+
| city    | object |
| month     | object |
| temperature | int  |
+-------------+--------+

Write a solution to pivot the data so that each row represents temperatures for a specific month, and each city is a separate column.

The result format is in the following example.

 

Example 1:
Input:
+--------------+----------+-------------+
| 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      |
+--------------+----------+-------------+
Output:
+----------+--------+--------------+
| month  | ElPaso | Jacksonville |
+----------+--------+--------------+
| April  | 2    | 5      |
| February | 6    | 23       |
| January  | 20   | 13       |
| March  | 26   | 38       |
| May    | 43   | 34       |
+----------+--------+--------------+
Explanation:
The table is pivoted, each column represents a city, and each row represents a specific month.

Solutions

Solution 1

import pandas as pd


def pivotTable(weather: pd.DataFrame) -> pd.DataFrame:
  return weather.pivot(index='month', columns='city', values='temperature')