DataFrame students
+-------------+--------+
| Column Name | Type |
+-------------+--------+
| id | int |
| first | object |
| last | object |
| age | int |
+-------------+--------+
Write a solution to rename the columns as follows:
id to student_idfirst to first_namelast to last_nameage to age_in_yearsThe result format is in the following example.
Example 1: Input: +----+---------+----------+-----+ | id | first | last | age | +----+---------+----------+-----+ | 1 | Mason | King | 6 | | 2 | Ava | Wright | 7 | | 3 | Taylor | Hall | 16 | | 4 | Georgia | Thompson | 18 | | 5 | Thomas | Moore | 10 | +----+---------+----------+-----+ Output: +------------+------------+-----------+--------------+ | student_id | first_name | last_name | age_in_years | +------------+------------+-----------+--------------+ | 1 | Mason | King | 6 | | 2 | Ava | Wright | 7 | | 3 | Taylor | Hall | 16 | | 4 | Georgia | Thompson | 18 | | 5 | Thomas | Moore | 10 | +------------+------------+-----------+--------------+ Explanation: The column names are changed accordingly.
This approach focuses on manipulating the data structures that hold the DataFrame or its equivalent to rename the columns. The idea is to access the data structure directly and modify the column headers.
In Python, the Pandas library provides a rename function which can easily rename columns. The rename method takes a dictionary where keys are existing column names and values are the new names.
JavaScript
Time Complexity: O(1) as renaming columns in a DataFrame does not depend on the number of rows.
Space Complexity: O(1), no additional space required beyond the rename operation.
This approach relies on using specific libraries available for each programming language that are geared towards data manipulation. These libraries often offer built-in functionalities for renaming columns effortlessly.
In C#, the DataTable structure from System.Data namespace is used to represent the data. To rename columns, we update the ColumnName property of the appropriate columns in the DataTable.Columns collection.
Java
Time Complexity: O(1) since column renaming is independent of the data in the table.
Space Complexity: O(1) because it modifies column names in-place.
| Approach | Complexity |
|---|---|
| Data Structure Manipulation | Time Complexity: O(1) as renaming columns in a DataFrame does not depend on the number of rows. |
| Library Specific Utility | Time Complexity: O(1) since column renaming is independent of the data in the table. |
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