Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly
Sign up
Appearance settings

Commit c4674c0

Browse files
chore: update lc problems (doocs#1777)
* chore: update lc problems * docs: update summary
1 parent 5130a71 commit c4674c0

File tree

14 files changed

+82
-88
lines changed

14 files changed

+82
-88
lines changed

‎.github/workflows/pretter-lint.yml‎

Lines changed: 0 additions & 22 deletions
This file was deleted.

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

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -6,7 +6,7 @@
66

77
<!-- 这里写题目描述 -->
88

9-
<p>编写一个解决方案,从名为 &nbsp;<code>student_data</code>&nbsp;的二维列表&nbsp;<b>创建 </b>一个 DataFrame 。这个二维列表包含一些学生的 ID 和年龄信息。</p>
9+
<p>编写一个解决方案,基于名为&nbsp;&nbsp;<code>student_data</code>&nbsp;的二维列表&nbsp;<b>创建 </b>一个 DataFrame 。这个二维列表包含一些学生的 ID 和年龄信息。</p>
1010

1111
<p>DataFrame 应该有两列,&nbsp;<code>student_id</code>&nbsp;和&nbsp;<code>age</code>,并且与原始二维列表的顺序相同。</p>
1212

@@ -35,7 +35,7 @@
3535
| 4 | 20 |
3636
+------------+-----+
3737
<b>解释:</b>
38-
在 student_data 上创建了一个 DataFrame,包含 student_id 和 age 两列。
38+
基于 student_data 创建了一个 DataFrame,包含 student_id 和 age 两列。
3939
</pre>
4040

4141
## 解法

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

Lines changed: 10 additions & 9 deletions
Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
1-
# [2878. Get the Size of a DataFrame](https://leetcode.cn/problems/get-the-size-of-a-dataframe)
1+
# [2878. 获取 DataFrame 的大小](https://leetcode.cn/problems/get-the-size-of-a-dataframe)
22

33
[English Version](/solution/2800-2899/2878.Get%20the%20Size%20of%20a%20DataFrame/README_EN.md)
44

@@ -19,19 +19,20 @@ DataFrame <code>players:</code>
1919
+-------------+--------+
2020
</pre>
2121

22-
<p>Write a solution to calculate and display the <strong>number of rows and columns</strong> of <code>players</code>.</p>
22+
<p>编写一个解决方案,计算并显示&nbsp;<code>players</code>&nbsp;的&nbsp;<strong>行数和列数</strong>。</p>
2323

24-
<p>Return the result as an array:</p>
24+
<p>将结果返回为一个数组:</p>
2525

2626
<p><code>[number of rows, number of columns]</code></p>
2727

28-
<p>The result format is in the following example.</p>
28+
<p>返回结果格式如下示例所示。</p>
2929

3030
<p>&nbsp;</p>
31-
<p><strong class="example">Example 1:</strong></p>
31+
32+
<p><b>示例 1:</b></p>
3233

3334
<pre>
34-
<strong>Input:
35+
<strong>输入:
3536
</strong>+-----------+----------+-----+-------------+--------------------+
3637
| player_id | name | age | position | team |
3738
+-----------+----------+-----+-------------+--------------------+
@@ -46,10 +47,10 @@ DataFrame <code>players:</code>
4647
| 761 | Jack | 33 | Midfielder | ManchesterCity |
4748
| 642 | Charlie | 36 | Center-back | Arsenal |
4849
+-----------+----------+-----+-------------+--------------------+<strong>
49-
Output:
50+
输出:
5051
</strong>[10, 5]
51-
<strong>Explanation:</strong>
52-
This DataFrame contains 10 rows and 5 columns.
52+
<b>解释:</b>
53+
这个 DataFrame 包含 10 行和 5 列。
5354
</pre>
5455

5556
## 解法

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

Lines changed: 8 additions & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
1-
# [2879. Display the First Three Rows](https://leetcode.cn/problems/display-the-first-three-rows)
1+
# [2879. 显示前三行](https://leetcode.cn/problems/display-the-first-three-rows)
22

33
[English Version](/solution/2800-2899/2879.Display%20the%20First%20Three%20Rows/README_EN.md)
44

@@ -18,13 +18,14 @@ DataFrame: <code>employees</code>
1818
+-------------+--------+
1919
</pre>
2020

21-
<p>Write a solution to display the <strong>first <code>3</code></strong>rows<strong> </strong>of this DataFrame.</p>
21+
<p>编写一个解决方案,显示这个 DataFrame 的<strong> 前&nbsp;&nbsp;<code>3</code>&nbsp;</strong>行。</p>
2222

2323
<p>&nbsp;</p>
24-
<p><strong class="example">Example 1:</strong></p>
24+
25+
<p><b>示例 1:</b></p>
2526

2627
<pre>
27-
<strong>Input:
28+
<strong>输入:
2829
</strong>DataFrame employees
2930
+-------------+-----------+-----------------------+--------+
3031
| employee_id | name | department | salary |
@@ -36,16 +37,16 @@ DataFrame: <code>employees</code>
3637
| 49 | Jonathan | HumanResources | 23793 |
3738
| 43 | Khaled | Administration | 40454 |
3839
+-------------+-----------+-----------------------+--------+
39-
<strong>Output:</strong>
40+
<b>输出:</b>
4041
+-------------+---------+-------------+--------+
4142
| employee_id | name | department | salary |
4243
+-------------+---------+-------------+--------+
4344
| 3 | Bob | Operations | 48675 |
4445
| 90 | Alice | Sales | 11096 |
4546
| 9 | Tatiana | Engineering | 33805 |
4647
+-------------+---------+-------------+--------+
47-
<strong>Explanation:</strong>
48-
Only the first 3 rows are displayed.</pre>
48+
<b>解释:</b>
49+
只有前 3 行被显示。</pre>
4950

5051
## 解法
5152

‎solution/2800-2899/2880.Select Data/README.md‎

Lines changed: 10 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
1-
# [2880. Select Data](https://leetcode.cn/problems/select-data)
1+
# [2880. 数据选取](https://leetcode.cn/problems/select-data)
22

33
[English Version](/solution/2800-2899/2880.Select%20Data/README_EN.md)
44

@@ -18,14 +18,16 @@ DataFrame students
1818

1919
</pre>
2020

21-
<p>Write a solution to select the name and age of the student with <code>student_id = 101</code>.</p>
21+
<p>编写一个解决方案,选择&nbsp;<code>student_id = 101</code>&nbsp;的学生的 name 和 age 并输出。</p>
2222

23-
<p>The result format is in the following example.</p>
23+
<p>返回结果格式如下示例所示。</p>
2424

2525
<p>&nbsp;</p>
26+
27+
<p><strong>示例 1:</strong></p>
28+
2629
<pre>
27-
<strong>Example 1:
28-
Input:</strong>
30+
<b>输入:</b>
2931
+------------+---------+-----+
3032
| student_id | name | age |
3133
+------------+---------+-----+
@@ -34,14 +36,14 @@ Input:</strong>
3436
| 128 | Henry | 6 |
3537
| 3 | Henry | 11 |
3638
+------------+---------+-----+
37-
<strong>Output:</strong>
39+
<b>输出:</b>
3840
+---------+-----+
3941
| name | age |
4042
+---------+-----+
4143
| Ulysses | 13 |
4244
+---------+-----+
43-
<strong>Explanation:
44-
</strong>Student Ulysses has student_id = 101, we select the name and age.</pre>
45+
<strong>解释:
46+
</strong>学生 Ulysses 的 student_id = 101,所以我们输出了他的 name 和 age。</pre>
4547

4648
## 解法
4749

‎solution/2800-2899/2881.Create a New Column/README.md‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -51,7 +51,7 @@ DataFrame employees
5151
| Thomas | 24433 | 48866 |
5252
+---------+--------+--------+
5353
<b>解释:</b>
54-
通过将salary列中的值加倍创建了一个新的bonus列。</pre>
54+
通过将 salary 列中的值加倍创建了一个新的 bonus 列。</pre>
5555

5656
## 解法
5757

‎solution/2800-2899/2889.Reshape Data Pivot/README.md‎

Lines changed: 9 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
1-
# [2889. Reshape Data Pivot](https://leetcode.cn/problems/reshape-data-pivot)
1+
# [2889. 数据重塑:透视](https://leetcode.cn/problems/reshape-data-pivot)
22

33
[English Version](/solution/2800-2899/2889.Reshape%20Data%20Pivot/README_EN.md)
44

@@ -17,14 +17,15 @@ DataFrame <code>weather</code>
1717
+-------------+--------+
1818
</pre>
1919

20-
<p>Write a solution to <strong>pivot</strong> the data so that each row represents temperatures for a specific month, and each city is a separate column.</p>
20+
<p>编写一个解决方案,以便将数据&nbsp;<strong>旋转</strong>,使得每一行代表特定月份的温度,而每个城市都是一个单独的列。</p>
2121

22-
<p>The result format is in the following example.</p>
22+
<p>输出结果格式如下示例所示。</p>
2323

2424
<p>&nbsp;</p>
25+
<b>示例 1:</b>
26+
2527
<pre>
26-
<strong class="example">Example 1:</strong>
27-
<strong>Input:</strong>
28+
<b>输入:</b>
2829
+--------------+----------+-------------+
2930
| city | month | temperature |
3031
+--------------+----------+-------------+
@@ -39,7 +40,7 @@ DataFrame <code>weather</code>
3940
| ElPaso | April | 2 |
4041
| ElPaso | May | 43 |
4142
+--------------+----------+-------------+
42-
<strong>Output:</strong><code>
43+
<code><b>输出:</b>
4344
+----------+--------+--------------+
4445
| month | ElPaso | Jacksonville |
4546
+----------+--------+--------------+
@@ -49,8 +50,8 @@ DataFrame <code>weather</code>
4950
| March | 26 | 38 |
5051
| May | 43 | 34 |
5152
+----------+--------+--------------+</code>
52-
<strong>Explanation:
53-
</strong>The table is pivoted, each column represents a city, and each row represents a specific month.</pre>
53+
<strong>解释:
54+
</strong>表格被旋转,每一列代表一个城市,每一行代表特定的月份。</pre>
5455

5556
## 解法
5657

‎solution/2800-2899/2891.Method Chaining/README.md‎

Lines changed: 15 additions & 13 deletions
Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
1-
# [2891. Method Chaining](https://leetcode.cn/problems/method-chaining)
1+
# [2891. 方法链](https://leetcode.cn/problems/method-chaining)
22

33
[English Version](/solution/2800-2899/2891.Method%20Chaining/README_EN.md)
44

@@ -18,17 +18,18 @@ DataFrame <code>animals</code>
1818
+-------------+--------+
1919
</pre>
2020

21-
<p>Write a solution to list the names of animals that weigh <strong>strictly more than</strong><code>100</code> kilograms.</p>
21+
<p>编写一个解决方案来列出体重 <strong>严格超过&nbsp;</strong>&nbsp;<code>100</code>&nbsp; 千克的动物的名称。</p>
2222

23-
<p>Return the&nbsp;animals sorted by weight in <strong>descending order</strong>.</p>
23+
<p>按体重 <strong>降序</strong> 返回动物。</p>
2424

25-
<p>The result format is in the following example.</p>
25+
<p>返回结果格式如下示例所示。</p>
2626

2727
<p>&nbsp;</p>
28-
<p><strong>Example 1:</strong></p>
28+
29+
<p><b>示例 1:</b></p>
2930

3031
<pre>
31-
<strong>Input:</strong>
32+
<b>输入:</b>
3233
DataFrame animals:
3334
+----------+---------+-----+--------+
3435
| name | species | age | weight |
@@ -40,7 +41,7 @@ DataFrame animals:
4041
| Stefan | Bear | 100 | 50 |
4142
| Tommy | Panda | 26 | 349 |
4243
+----------+---------+-----+--------+
43-
<strong>Output:</strong>
44+
<b>输出:</b>
4445
+----------+
4546
| name |
4647
+----------+
@@ -49,15 +50,16 @@ DataFrame animals:
4950
| Tommy |
5051
| Alex |
5152
+----------+
52-
<strong>Explanation:</strong>
53-
All animals weighing more than 100 should be included in the results table.
54-
Tatiana&#39;s weight is 464, Jonathan&#39;s weight is 463, Tommy&#39;s weight is 349, and Alex&#39;s weight is 328.
55-
The results should be sorted in descending order of weight.</pre>
53+
<b>解释:</b>
54+
所有体重超过 100 的动物都应包含在结果表中。
55+
Tatiana 的体重为 464,Jonathan 的体重为 463,Tommy 的体重为 349,Alex 的体重为 328。
56+
结果应按体重降序排序。</pre>
5657

5758
<p>&nbsp;</p>
58-
<p>In Pandas, <strong>method chaining</strong> enables us to&nbsp;perform operations on a DataFrame without breaking up each operation into a separate line or creating multiple temporary variables.&nbsp;</p>
5959

60-
<p>Can you complete this&nbsp;task in just <strong>one line </strong>of code using method chaining?</p>
60+
<p>在 Pandas 中,<strong>方法链</strong> 允许我们在 DataFrame 上执行操作,而无需将每个操作拆分成单独的行或创建多个临时变量。</p>
61+
62+
<p>你能用 <strong>一行</strong> 代码的方法链完成这个任务吗?</p>
6163

6264
## 解法
6365

‎solution/JAVASCRIPT_README.md‎

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -24,7 +24,7 @@
2424
| 2629 | [复合函数](/solution/2600-2699/2629.Function%20Composition/README.md) | | 简单 | |
2525
| 2630 | [记忆函数 II](/solution/2600-2699/2630.Memoize%20II/README.md) | | 困难 | |
2626
| 2631 | [分组](/solution/2600-2699/2631.Group%20By/README.md) | | 中等 | |
27-
| 2632 | [柯里化](/solution/2600-2699/2632.Curry/README.md) | | 中等 | 🔒 |
27+
| 2632 | [柯里化](/solution/2600-2699/2632.Curry/README.md) | | 困难 | 🔒 |
2828
| 2633 | [将对象转换为 JSON 字符串](/solution/2600-2699/2633.Convert%20Object%20to%20JSON%20String/README.md) | | 中等 | 🔒 |
2929
| 2634 | [过滤数组中的元素](/solution/2600-2699/2634.Filter%20Elements%20from%20Array/README.md) | | 简单 | |
3030
| 2635 | [转换数组中的每个元素](/solution/2600-2699/2635.Apply%20Transform%20Over%20Each%20Element%20in%20Array/README.md) | | 简单 | |
@@ -34,9 +34,9 @@
3434
| 2649 | [嵌套数组生成器](/solution/2600-2699/2649.Nested%20Array%20Generator/README.md) | | 中等 | |
3535
| 2650 | [设计可取消函数](/solution/2600-2699/2650.Design%20Cancellable%20Function/README.md) | | 困难 | |
3636
| 2665 | [计数器 II](/solution/2600-2699/2665.Counter%20II/README.md) | | 简单 | |
37-
| 2666 | [只允许一次函数调用](/solution/2600-2699/2666.Allow%20One%20Function%20Call/README.md) | | 简单 | |
37+
| 2666 | [只允许一次函数调用 44](/solution/2600-2699/2666.Allow%20One%20Function%20Call/README.md) | | 简单 | |
3838
| 2667 | [创建 Hello World 函数](/solution/2600-2699/2667.Create%20Hello%20World%20Function/README.md) | | 简单 | |
39-
| 2675 | [将对象数组转换为矩阵](/solution/2600-2699/2675.Array%20of%20Objects%20to%20Matrix/README.md) | | 中等 | 🔒 |
39+
| 2675 | [将对象数组转换为矩阵](/solution/2600-2699/2675.Array%20of%20Objects%20to%20Matrix/README.md) | | 困难 | 🔒 |
4040
| 2676 | [节流](/solution/2600-2699/2676.Throttle/README.md) | | 中等 | 🔒 |
4141
| 2677 | [分块数组](/solution/2600-2699/2677.Chunk%20Array/README.md) | | 简单 | |
4242
| 2690 | [无穷方法对象](/solution/2600-2699/2690.Infinite%20Method%20Object/README.md) | | 简单 | 🔒 |
@@ -52,7 +52,7 @@
5252
| 2715 | [执行可取消的延迟函数](/solution/2700-2799/2715.Timeout%20Cancellation/README.md) | | 简单 | |
5353
| 2721 | [并行执行异步函数](/solution/2700-2799/2721.Execute%20Asynchronous%20Functions%20in%20Parallel/README.md) | | 中等 | |
5454
| 2722 | [根据 ID 合并两个数组](/solution/2700-2799/2722.Join%20Two%20Arrays%20by%20ID/README.md) | | 中等 | |
55-
| 2723 | [添加两个 Promise 对象](/solution/2700-2799/2723.Add%20Two%20Promises/README.md) | | 简单 | |
55+
| 2723 | [两个 Promise 对象相加](/solution/2700-2799/2723.Add%20Two%20Promises/README.md) | | 简单 | |
5656
| 2724 | [排序方式](/solution/2700-2799/2724.Sort%20By/README.md) | | 简单 | |
5757
| 2725 | [间隔取消](/solution/2700-2799/2725.Interval%20Cancellation/README.md) | | 简单 | |
5858
| 2726 | [使用方法链的计算器](/solution/2700-2799/2726.Calculator%20with%20Method%20Chaining/README.md) | | 简单 | |

‎solution/JAVASCRIPT_README_EN.md‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -22,7 +22,7 @@ Press <kbd>Control</kbd> + <kbd>F</kbd>(or <kbd>Command</kbd> + <kbd>F</kbd> on
2222
| 2629 | [Function Composition](/solution/2600-2699/2629.Function%20Composition/README_EN.md) | | Easy | |
2323
| 2630 | [Memoize II](/solution/2600-2699/2630.Memoize%20II/README_EN.md) | | Hard | |
2424
| 2631 | [Group By](/solution/2600-2699/2631.Group%20By/README_EN.md) | | Medium | |
25-
| 2632 | [Curry](/solution/2600-2699/2632.Curry/README_EN.md) | | Medium | 🔒 |
25+
| 2632 | [Curry](/solution/2600-2699/2632.Curry/README_EN.md) | | Hard | 🔒 |
2626
| 2633 | [Convert Object to JSON String](/solution/2600-2699/2633.Convert%20Object%20to%20JSON%20String/README_EN.md) | | Medium | 🔒 |
2727
| 2634 | [Filter Elements from Array](/solution/2600-2699/2634.Filter%20Elements%20from%20Array/README_EN.md) | | Easy | |
2828
| 2635 | [Apply Transform Over Each Element in Array](/solution/2600-2699/2635.Apply%20Transform%20Over%20Each%20Element%20in%20Array/README_EN.md) | | Easy | |
@@ -34,7 +34,7 @@ Press <kbd>Control</kbd> + <kbd>F</kbd>(or <kbd>Command</kbd> + <kbd>F</kbd> on
3434
| 2665 | [Counter II](/solution/2600-2699/2665.Counter%20II/README_EN.md) | | Easy | |
3535
| 2666 | [Allow One Function Call](/solution/2600-2699/2666.Allow%20One%20Function%20Call/README_EN.md) | | Easy | |
3636
| 2667 | [Create Hello World Function](/solution/2600-2699/2667.Create%20Hello%20World%20Function/README_EN.md) | | Easy | |
37-
| 2675 | [Array of Objects to Matrix](/solution/2600-2699/2675.Array%20of%20Objects%20to%20Matrix/README_EN.md) | | Medium | 🔒 |
37+
| 2675 | [Array of Objects to Matrix](/solution/2600-2699/2675.Array%20of%20Objects%20to%20Matrix/README_EN.md) | | Hard | 🔒 |
3838
| 2676 | [Throttle](/solution/2600-2699/2676.Throttle/README_EN.md) | | Medium | 🔒 |
3939
| 2677 | [Chunk Array](/solution/2600-2699/2677.Chunk%20Array/README_EN.md) | | Easy | |
4040
| 2690 | [Infinite Method Object](/solution/2600-2699/2690.Infinite%20Method%20Object/README_EN.md) | | Easy | 🔒 |

0 commit comments

Comments
(0)

AltStyle によって変換されたページ (->オリジナル) /