chore: add new lc problems

solution/2800-2899/2877.Create a DataFrame from List/README.md

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+# [2877. Create a DataFrame from List](https://leetcode.cn/problems/create-a-dataframe-from-list)
+
+[English Version](/solution/2800-2899/2877.Create%20a%20DataFrame%20from%20List/README_EN.md)
+
+## 题目描述
+
+<!-- 这里写题目描述 -->
+
+<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>
+
+## 解法
+
+<!-- 这里可写通用的实现逻辑 -->
+
+<!-- tabs:start -->
+
+### **Pandas**
+
+<!-- 这里可写当前语言的特殊实现逻辑 -->
+
+```python
+
+```
+
+### **...**
+
+```
+
+```
+
+<!-- tabs:end -->

solution/2800-2899/2877.Create a DataFrame from List/README_EN.md

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+# [2877. Create a DataFrame from List](https://leetcode.com/problems/create-a-dataframe-from-list)
+
+[中文文档](/solution/2800-2899/2877.Create%20a%20DataFrame%20from%20List/README.md)
+
+## Description
+
+<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>
+
+## Solutions
+
+<!-- tabs:start -->
+
+### **Pandas**
+
+```python
+
+```
+
+### **...**
+
+```
+
+```
+
+<!-- tabs:end -->

solution/2800-2899/2878.Get the Size of a DataFrame/README.md

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+# [2878. Get the Size of a DataFrame](https://leetcode.cn/problems/get-the-size-of-a-dataframe)
+
+[English Version](/solution/2800-2899/2878.Get%20the%20Size%20of%20a%20DataFrame/README_EN.md)
+
+## 题目描述
+
+<!-- 这里写题目描述 -->
+
+<pre>
+DataFrame <code>players:</code>
++-------------+--------+
+| Column Name | Type   |
++-------------+--------+
+| player_id   | int    |
+| name        | object |
+| age         | int    |
+| position    | object |
+| ...         | ...    |
++-------------+--------+
+</pre>
+
+<p>Write a solution to calculate and display the <strong>number of rows and columns</strong> of <code>players</code>.</p>
+
+<p>Return the result as an array:</p>
+
+<p><code>[number of rows, number of columns]</code></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>+-----------+----------+-----+-------------+--------------------+
+| player_id | name     | age | position    | team               |
++-----------+----------+-----+-------------+--------------------+
+| 846       | Mason    | 21  | Forward     | RealMadrid         |
+| 749       | Riley    | 30  | Winger      | Barcelona          |
+| 155       | Bob      | 28  | Striker     | ManchesterUnited   |
+| 583       | Isabella | 32  | Goalkeeper  | Liverpool          |
+| 388       | Zachary  | 24  | Midfielder  | BayernMunich       |
+| 883       | Ava      | 23  | Defender    | Chelsea            |
+| 355       | Violet   | 18  | Striker     | Juventus           |
+| 247       | Thomas   | 27  | Striker     | ParisSaint-Germain |
+| 761       | Jack     | 33  | Midfielder  | ManchesterCity     |
+| 642       | Charlie  | 36  | Center-back | Arsenal            |
++-----------+----------+-----+-------------+--------------------+<strong>
+Output:
+</strong>[10, 5]
+<strong>Explanation:</strong>
+This DataFrame contains 10 rows and 5 columns.
+</pre>
+
+## 解法
+
+<!-- 这里可写通用的实现逻辑 -->
+
+<!-- tabs:start -->
+
+### **Pandas**
+
+<!-- 这里可写当前语言的特殊实现逻辑 -->
+
+```python
+
+```
+
+### **...**
+
+```
+
+```
+
+<!-- tabs:end -->

solution/2800-2899/2878.Get the Size of a DataFrame/README_EN.md

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+# [2878. Get the Size of a DataFrame](https://leetcode.com/problems/get-the-size-of-a-dataframe)
+
+[中文文档](/solution/2800-2899/2878.Get%20the%20Size%20of%20a%20DataFrame/README.md)
+
+## Description
+
+<pre>
+DataFrame <code>players:</code>
++-------------+--------+
+| Column Name | Type   |
++-------------+--------+
+| player_id   | int    |
+| name        | object |
+| age         | int    |
+| position    | object |
+| ...         | ...    |
++-------------+--------+
+</pre>
+
+<p>Write a solution to calculate and display the <strong>number of rows and columns</strong> of <code>players</code>.</p>
+
+<p>Return the result as an array:</p>
+
+<p><code>[number of rows, number of columns]</code></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>+-----------+----------+-----+-------------+--------------------+
+| player_id | name     | age | position    | team               |
++-----------+----------+-----+-------------+--------------------+
+| 846       | Mason    | 21  | Forward     | RealMadrid         |
+| 749       | Riley    | 30  | Winger      | Barcelona          |
+| 155       | Bob      | 28  | Striker     | ManchesterUnited   |
+| 583       | Isabella | 32  | Goalkeeper  | Liverpool          |
+| 388       | Zachary  | 24  | Midfielder  | BayernMunich       |
+| 883       | Ava      | 23  | Defender    | Chelsea            |
+| 355       | Violet   | 18  | Striker     | Juventus           |
+| 247       | Thomas   | 27  | Striker     | ParisSaint-Germain |
+| 761       | Jack     | 33  | Midfielder  | ManchesterCity     |
+| 642       | Charlie  | 36  | Center-back | Arsenal            |
++-----------+----------+-----+-------------+--------------------+<strong>
+Output:
+</strong>[10, 5]
+<strong>Explanation:</strong>
+This DataFrame contains 10 rows and 5 columns.
+</pre>
+
+## Solutions
+
+<!-- tabs:start -->
+
+### **Pandas**
+
+```python
+
+```
+
+### **...**
+
+```
+
+```
+
+<!-- tabs:end -->

solution/2800-2899/2879.Display the First Three Rows/README.md

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+# [2879. Display the First Three Rows](https://leetcode.cn/problems/display-the-first-three-rows)
+
+[English Version](/solution/2800-2899/2879.Display%20the%20First%20Three%20Rows/README_EN.md)
+
+## 题目描述
+
+<!-- 这里写题目描述 -->
+
+<pre>
+DataFrame: <code>employees</code>
++-------------+--------+
+| Column Name | Type   |
++-------------+--------+
+| employee_id | int    |
+| name        | object |
+| department  | object |
+| salary      | int    |
++-------------+--------+
+</pre>
+
+<p>Write a solution to display the <strong>first <code>3</code> </strong>rows<strong> </strong>of this DataFrame.</p>
+
+<p>&nbsp;</p>
+<p><strong class="example">Example 1:</strong></p>
+
+<pre>
+<strong>Input:
+</strong>DataFrame employees
++-------------+-----------+-----------------------+--------+
+| employee_id | name      | department            | salary |
++-------------+-----------+-----------------------+--------+
+| 3           | Bob       | Operations            | 48675  |
+| 90          | Alice     | Sales                 | 11096  |
+| 9           | Tatiana   | Engineering           | 33805  |
+| 60          | Annabelle | InformationTechnology | 37678  |
+| 49          | Jonathan  | HumanResources        | 23793  |
+| 43          | Khaled    | Administration        | 40454  |
++-------------+-----------+-----------------------+--------+
+<strong>Output:</strong>
++-------------+---------+-------------+--------+
+| employee_id | name    | department  | salary |
++-------------+---------+-------------+--------+
+| 3           | Bob     | Operations  | 48675  |
+| 90          | Alice   | Sales       | 11096  |
+| 9           | Tatiana | Engineering | 33805  |
++-------------+---------+-------------+--------+
+<strong>Explanation:</strong> 
+Only the first 3 rows are displayed.</pre>
+
+## 解法
+
+<!-- 这里可写通用的实现逻辑 -->
+
+<!-- tabs:start -->
+
+### **Pandas**
+
+<!-- 这里可写当前语言的特殊实现逻辑 -->
+
+```python
+
+```
+
+### **...**
+
+```
+
+```
+
+<!-- tabs:end -->

solution/2800-2899/2879.Display the First Three Rows/README_EN.md

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+# [2879. Display the First Three Rows](https://leetcode.com/problems/display-the-first-three-rows)
+
+[中文文档](/solution/2800-2899/2879.Display%20the%20First%20Three%20Rows/README.md)
+
+## Description
+
+<pre>
+DataFrame: <code>employees</code>
++-------------+--------+
+| Column Name | Type   |
++-------------+--------+
+| employee_id | int    |
+| name        | object |
+| department  | object |
+| salary      | int    |
++-------------+--------+
+</pre>
+
+<p>Write a solution to display the <strong>first <code>3</code> </strong>rows<strong> </strong>of this DataFrame.</p>
+
+<p>&nbsp;</p>
+<p><strong class="example">Example 1:</strong></p>
+
+<pre>
+<strong>Input:
+</strong>DataFrame employees
++-------------+-----------+-----------------------+--------+
+| employee_id | name      | department            | salary |
++-------------+-----------+-----------------------+--------+
+| 3           | Bob       | Operations            | 48675  |
+| 90          | Alice     | Sales                 | 11096  |
+| 9           | Tatiana   | Engineering           | 33805  |
+| 60          | Annabelle | InformationTechnology | 37678  |
+| 49          | Jonathan  | HumanResources        | 23793  |
+| 43          | Khaled    | Administration        | 40454  |
++-------------+-----------+-----------------------+--------+
+<strong>Output:</strong>
++-------------+---------+-------------+--------+
+| employee_id | name    | department  | salary |
++-------------+---------+-------------+--------+
+| 3           | Bob     | Operations  | 48675  |
+| 90          | Alice   | Sales       | 11096  |
+| 9           | Tatiana | Engineering | 33805  |
++-------------+---------+-------------+--------+
+<strong>Explanation:</strong> 
+Only the first 3 rows are displayed.</pre>
+
+## Solutions
+
+<!-- tabs:start -->
+
+### **Pandas**
+
+```python
+
+```
+
+### **...**
+
+```
+
+```
+
+<!-- tabs:end -->