Create a DataFrame from List
<p>Write a solution to <strong>create</strong> a DataFrame from a 2D list called <code>student_data</code>. This 2D list contains the IDs and ages of some students.</p>

<p>The DataFrame should have two columns, <code>student_id</code> and <code>age</code>, and be in the same order as the original 2D list.</p>

<p>The result format is in the following example.</p>

<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>

<pre>
<strong>Input:
</strong>student_data:<strong>
</strong><code>[
  [1, 15],
  [2, 11],
  [3, 11],
  [4, 20]
]</code>
<strong>Output:</strong>
+------------+-----+
| student_id | age |
+------------+-----+
| 1          | 15  |
| 2          | 11  |
| 3          | 11  |
| 4          | 20  |
+------------+-----+
<strong>Explanation:</strong>
A DataFrame was created on top of student_data, with two columns named <code>student_id</code> and <code>age</code>.
</pre>

[]
[]
[{"value": "pythondata", "text": "Pandas", "defaultCode": "import pandas as pd\n\ndef createDataframe(student_data: List[List[int]]) -> pd.DataFrame:\n    "}]
{
  "name": "create_a_dataframe",
  "params": [
    {
      "name": "student_data",
      "type": "list<list<integer>>"
    }
  ],
  "return": {
    "type": "DataFrame"
  },
  "data": true,
  "manual": true
}
{"pythondata": ["Pandas", "<p>Python 3.10 with Pandas 2.2.2 and NumPy 1.26.4</p>"]}
[]