Reshape Data: Concatenate

DataFrame df1
+-------------+--------+
| Column Name | Type   |
+-------------+--------+
| student_id  | int    |
| name        | object |
| age         | int    |
+-------------+--------+

DataFrame df2
+-------------+--------+
| Column Name | Type   |
+-------------+--------+
| student_id  | int    |
| name        | object |
| age         | int    |
+-------------+--------+

Write a solution to concatenate these two DataFrames vertically into one DataFrame.

The result format is in the following example.

 

Example 1:

Input:
df1
+------------+---------+-----+
| student_id | name    | age |
+------------+---------+-----+
| 1          | Mason   | 8   |
| 2          | Ava     | 6   |
| 3          | Taylor  | 15  |
| 4          | Georgia | 17  |
+------------+---------+-----+
df2
+------------+------+-----+
| student_id | name | age |
+------------+------+-----+
| 5          | Leo  | 7   |
| 6          | Alex | 7   |
+------------+------+-----+
Output:
+------------+---------+-----+
| student_id | name    | age |
+------------+---------+-----+
| 1          | Mason   | 8   |
| 2          | Ava     | 6   |
| 3          | Taylor  | 15  |
| 4          | Georgia | 17  |
| 5          | Leo     | 7   |
| 6          | Alex    | 7   |
+------------+---------+-----+
Explanation:
The two DataFramess are stacked vertically, and their rows are combined.

Example Testcases:

{"headers":{"df1":["student_id","name","age"],"df2":["student_id","name","age"]},"rows":{"df1":[[1,"Mason",8],[2,"Ava",6],[3,"Taylor",15],[4,"Georgia",17]],"df2":[[5,"Leo",7],[6,"Alex",7]]}}