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‎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)
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[English Version](/solution/2800-2899/2877.Create%20a%20DataFrame%20from%20List/README_EN.md)
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## 题目描述
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<!-- 这里写题目描述 -->
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<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>
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<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>
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<p>The result format is in the following example.</p>
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<p>&nbsp;</p>
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<p><strong class="example">Example 1:</strong></p>
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<pre>
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<strong>Input:
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</strong>student_data:<strong>
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</strong><code>[
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[1, 15],
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[2, 11],
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[3, 11],
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[4, 20]
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]</code>
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<strong>Output:</strong>
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+------------+-----+
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| student_id | age |
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+------------+-----+
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| 1 | 15 |
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| 2 | 11 |
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| 3 | 11 |
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| 4 | 20 |
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+------------+-----+
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<strong>Explanation:</strong>
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A DataFrame was created on top of student_data, with two columns named <code>student_id</code> and <code>age</code>.
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</pre>
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## 解法
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<!-- 这里可写通用的实现逻辑 -->
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<!-- tabs:start -->
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### **Pandas**
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<!-- 这里可写当前语言的特殊实现逻辑 -->
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```python
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```
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### **...**
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```
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```
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<!-- 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)
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[中文文档](/solution/2800-2899/2877.Create%20a%20DataFrame%20from%20List/README.md)
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## Description
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<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>
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<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>
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<p>The result format is in the following example.</p>
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<p>&nbsp;</p>
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<p><strong class="example">Example 1:</strong></p>
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<pre>
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<strong>Input:
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</strong>student_data:<strong>
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</strong><code>[
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[1, 15],
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[2, 11],
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[3, 11],
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[4, 20]
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]</code>
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<strong>Output:</strong>
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+------------+-----+
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| student_id | age |
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+------------+-----+
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| 1 | 15 |
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| 2 | 11 |
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| 3 | 11 |
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| 4 | 20 |
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+------------+-----+
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<strong>Explanation:</strong>
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A DataFrame was created on top of student_data, with two columns named <code>student_id</code> and <code>age</code>.
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</pre>
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## Solutions
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<!-- tabs:start -->
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### **Pandas**
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```python
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```
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### **...**
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```
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```
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<!-- 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)
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[English Version](/solution/2800-2899/2878.Get%20the%20Size%20of%20a%20DataFrame/README_EN.md)
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## 题目描述
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<!-- 这里写题目描述 -->
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<pre>
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DataFrame <code>players:</code>
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+-------------+--------+
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| Column Name | Type |
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+-------------+--------+
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| player_id | int |
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| name | object |
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| age | int |
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| position | object |
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| ... | ... |
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+-------------+--------+
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</pre>
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<p>Write a solution to calculate and display the <strong>number of rows and columns</strong> of <code>players</code>.</p>
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<p>Return the result as an array:</p>
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<p><code>[number of rows, number of columns]</code></p>
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<p>The result format is in the following example.</p>
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<p>&nbsp;</p>
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<p><strong class="example">Example 1:</strong></p>
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<pre>
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<strong>Input:
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</strong>+-----------+----------+-----+-------------+--------------------+
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| player_id | name | age | position | team |
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+-----------+----------+-----+-------------+--------------------+
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| 846 | Mason | 21 | Forward | RealMadrid |
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| 749 | Riley | 30 | Winger | Barcelona |
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| 155 | Bob | 28 | Striker | ManchesterUnited |
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| 583 | Isabella | 32 | Goalkeeper | Liverpool |
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| 388 | Zachary | 24 | Midfielder | BayernMunich |
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| 883 | Ava | 23 | Defender | Chelsea |
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| 355 | Violet | 18 | Striker | Juventus |
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| 247 | Thomas | 27 | Striker | ParisSaint-Germain |
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| 761 | Jack | 33 | Midfielder | ManchesterCity |
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| 642 | Charlie | 36 | Center-back | Arsenal |
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+-----------+----------+-----+-------------+--------------------+<strong>
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Output:
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</strong>[10, 5]
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<strong>Explanation:</strong>
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This DataFrame contains 10 rows and 5 columns.
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</pre>
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## 解法
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<!-- 这里可写通用的实现逻辑 -->
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<!-- tabs:start -->
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### **Pandas**
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<!-- 这里可写当前语言的特殊实现逻辑 -->
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```python
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```
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### **...**
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```
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```
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<!-- 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)
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[中文文档](/solution/2800-2899/2878.Get%20the%20Size%20of%20a%20DataFrame/README.md)
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## Description
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<pre>
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DataFrame <code>players:</code>
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+-------------+--------+
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| Column Name | Type |
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+-------------+--------+
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| player_id | int |
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| name | object |
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| age | int |
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| position | object |
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| ... | ... |
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+-------------+--------+
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</pre>
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<p>Write a solution to calculate and display the <strong>number of rows and columns</strong> of <code>players</code>.</p>
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<p>Return the result as an array:</p>
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<p><code>[number of rows, number of columns]</code></p>
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<p>The result format is in the following example.</p>
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<p>&nbsp;</p>
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<p><strong class="example">Example 1:</strong></p>
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<pre>
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<strong>Input:
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</strong>+-----------+----------+-----+-------------+--------------------+
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| player_id | name | age | position | team |
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+-----------+----------+-----+-------------+--------------------+
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| 846 | Mason | 21 | Forward | RealMadrid |
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| 749 | Riley | 30 | Winger | Barcelona |
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| 155 | Bob | 28 | Striker | ManchesterUnited |
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| 583 | Isabella | 32 | Goalkeeper | Liverpool |
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| 388 | Zachary | 24 | Midfielder | BayernMunich |
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| 883 | Ava | 23 | Defender | Chelsea |
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| 355 | Violet | 18 | Striker | Juventus |
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| 247 | Thomas | 27 | Striker | ParisSaint-Germain |
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| 761 | Jack | 33 | Midfielder | ManchesterCity |
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| 642 | Charlie | 36 | Center-back | Arsenal |
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+-----------+----------+-----+-------------+--------------------+<strong>
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Output:
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</strong>[10, 5]
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<strong>Explanation:</strong>
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This DataFrame contains 10 rows and 5 columns.
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</pre>
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## Solutions
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<!-- tabs:start -->
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### **Pandas**
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```python
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```
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### **...**
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```
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```
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<!-- 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)
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[English Version](/solution/2800-2899/2879.Display%20the%20First%20Three%20Rows/README_EN.md)
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## 题目描述
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<!-- 这里写题目描述 -->
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<pre>
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DataFrame: <code>employees</code>
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+-------------+--------+
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| Column Name | Type |
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+-------------+--------+
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| employee_id | int |
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| name | object |
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| department | object |
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| salary | int |
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+-------------+--------+
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</pre>
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<p>Write a solution to display the <strong>first <code>3</code> </strong>rows<strong> </strong>of this DataFrame.</p>
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<p>&nbsp;</p>
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<p><strong class="example">Example 1:</strong></p>
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<pre>
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<strong>Input:
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</strong>DataFrame employees
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+-------------+-----------+-----------------------+--------+
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| employee_id | name | department | salary |
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+-------------+-----------+-----------------------+--------+
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| 3 | Bob | Operations | 48675 |
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| 90 | Alice | Sales | 11096 |
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| 9 | Tatiana | Engineering | 33805 |
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| 60 | Annabelle | InformationTechnology | 37678 |
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| 49 | Jonathan | HumanResources | 23793 |
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| 43 | Khaled | Administration | 40454 |
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+-------------+-----------+-----------------------+--------+
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<strong>Output:</strong>
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+-------------+---------+-------------+--------+
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| employee_id | name | department | salary |
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+-------------+---------+-------------+--------+
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| 3 | Bob | Operations | 48675 |
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| 90 | Alice | Sales | 11096 |
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| 9 | Tatiana | Engineering | 33805 |
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+-------------+---------+-------------+--------+
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<strong>Explanation:</strong>
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Only the first 3 rows are displayed.</pre>
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## 解法
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<!-- 这里可写通用的实现逻辑 -->
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<!-- tabs:start -->
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### **Pandas**
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<!-- 这里可写当前语言的特殊实现逻辑 -->
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```python
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```
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### **...**
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```
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```
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<!-- 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)
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[中文文档](/solution/2800-2899/2879.Display%20the%20First%20Three%20Rows/README.md)
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## Description
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<pre>
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DataFrame: <code>employees</code>
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+-------------+--------+
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| Column Name | Type |
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+-------------+--------+
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| employee_id | int |
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| name | object |
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| department | object |
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| salary | int |
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+-------------+--------+
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</pre>
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<p>Write a solution to display the <strong>first <code>3</code> </strong>rows<strong> </strong>of this DataFrame.</p>
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<p>&nbsp;</p>
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<p><strong class="example">Example 1:</strong></p>
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<pre>
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<strong>Input:
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</strong>DataFrame employees
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+-------------+-----------+-----------------------+--------+
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| employee_id | name | department | salary |
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+-------------+-----------+-----------------------+--------+
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| 3 | Bob | Operations | 48675 |
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| 90 | Alice | Sales | 11096 |
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| 9 | Tatiana | Engineering | 33805 |
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| 60 | Annabelle | InformationTechnology | 37678 |
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| 49 | Jonathan | HumanResources | 23793 |
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| 43 | Khaled | Administration | 40454 |
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+-------------+-----------+-----------------------+--------+
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<strong>Output:</strong>
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+-------------+---------+-------------+--------+
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| employee_id | name | department | salary |
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+-------------+---------+-------------+--------+
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| 3 | Bob | Operations | 48675 |
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| 90 | Alice | Sales | 11096 |
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| 9 | Tatiana | Engineering | 33805 |
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+-------------+---------+-------------+--------+
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<strong>Explanation:</strong>
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Only the first 3 rows are displayed.</pre>
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## Solutions
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<!-- tabs:start -->
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### **Pandas**
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```python
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```
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### **...**
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```
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```
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<!-- tabs:end -->

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