feat: add pandas solutions to lc problems: No.2877~2891 (doocs#1750)

* No.2877.Create a DataFrame from List
* No.2878.Get the Size of a DataFrame
* No.2879.Display the First Three Rows
* No.2880.Select Data
* No.2881.Create a New Column
* No.2882.Drop Duplicate Rows
* No.2883.Drop Missing Data
* No.2884.Modify Columns
* No.2885.Rename Columns
* No.2886.Change Data Type
* No.2887.Fill Missing Data
* No.2888.Reshape Data Concatenate
* No.2889.Reshape Data Pivot
* No.2890.Reshape Data Melt
* No.2891.Method Chaining

Author: yanglbme

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

@@ -48,7 +48,11 @@ A DataFrame was created on top of student_data, with two columns named <code>stu
 <!-- 这里可写当前语言的特殊实现逻辑 -->
 
 ```python
+import pandas as pd
 
+
+def createDataframe(student_data: List[List[int]]) -> pd.DataFrame:
+    return pd.DataFrame(student_data, columns=['student_id', 'age'])
 ```
 
 ### **...**

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

@@ -42,7 +42,11 @@ A DataFrame was created on top of student_data, with two columns named <code>stu
 ### **Pandas**
 
 ```python
+import pandas as pd
 
+
+def createDataframe(student_data: List[List[int]]) -> pd.DataFrame:
+    return pd.DataFrame(student_data, columns=['student_id', 'age'])
 ```
 
 ### **...**

solution/2800-2899/2877.Create a DataFrame from List/Solution.py

@@ -0,0 +1,5 @@
+import pandas as pd
+
+
+def createDataframe(student_data: List[List[int]]) -> pd.DataFrame:
+    return pd.DataFrame(student_data, columns=['student_id', 'age'])

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

@@ -63,7 +63,11 @@ This DataFrame contains 10 rows and 5 columns.
 <!-- 这里可写当前语言的特殊实现逻辑 -->
 
 ```python
+import pandas as pd
 
+
+def getDataframeSize(players: pd.DataFrame) -> List[int]:
+    return list(players.shape)
 ```
 
 ### **...**

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

@@ -57,7 +57,11 @@ This DataFrame contains 10 rows and 5 columns.
 ### **Pandas**
 
 ```python
+import pandas as pd
 
+
+def getDataframeSize(players: pd.DataFrame) -> List[int]:
+    return list(players.shape)
 ```
 
 ### **...**

solution/2800-2899/2878.Get the Size of a DataFrame/Solution.py

@@ -0,0 +1,5 @@
+import pandas as pd
+
+
+def getDataframeSize(players: pd.DataFrame) -> List[int]:
+    return list(players.shape)

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

@@ -58,7 +58,11 @@ Only the first 3 rows are displayed.</pre>
 <!-- 这里可写当前语言的特殊实现逻辑 -->
 
 ```python
+import pandas as pd
 
+
+def selectFirstRows(employees: pd.DataFrame) -> pd.DataFrame:
+    return employees.head(3)
 ```
 
 ### **...**

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

@@ -52,7 +52,11 @@ Only the first 3 rows are displayed.</pre>
 ### **Pandas**
 
 ```python
+import pandas as pd
 
+
+def selectFirstRows(employees: pd.DataFrame) -> pd.DataFrame:
+    return employees.head(3)
 ```
 
 ### **...**

solution/2800-2899/2879.Display the First Three Rows/Solution.py

@@ -0,0 +1,5 @@
+import pandas as pd
+
+
+def selectFirstRows(employees: pd.DataFrame) -> pd.DataFrame:
+    return employees.head(3)

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

@@ -54,7 +54,11 @@ Input:</strong>
 <!-- 这里可写当前语言的特殊实现逻辑 -->
 
 ```python
+import pandas as pd
 
+
+def selectData(students: pd.DataFrame) -> pd.DataFrame:
+    return students[students['student_id'] == 101][['name', 'age']]
 ```
 
 ### **Java**

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

@@ -48,7 +48,11 @@ Input:</strong>
 ### **Pandas**
 
 ```python
+import pandas as pd
 
+
+def selectData(students: pd.DataFrame) -> pd.DataFrame:
+    return students[students['student_id'] == 101][['name', 'age']]
 ```
 
 ### **...**

solution/2800-2899/2880.Select Data/Solution.py

@@ -0,0 +1,5 @@
+import pandas as pd
+
+
+def selectData(students: pd.DataFrame) -> pd.DataFrame:
+    return students[students['student_id'] == 101][['name', 'age']]

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

@@ -63,7 +63,12 @@ A new column bonus is created by doubling the value in the column salary.</pre>
 <!-- 这里可写当前语言的特殊实现逻辑 -->
 
 ```python
+import pandas as pd
 
+
+def createBonusColumn(employees: pd.DataFrame) -> pd.DataFrame:
+    employees['bonus'] = employees['salary'] * 2
+    return employees
 ```
 
 ### **...**

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

@@ -57,7 +57,12 @@ A new column bonus is created by doubling the value in the column salary.</pre>
 ### **Pandas**
 
 ```python
+import pandas as pd
 
+
+def createBonusColumn(employees: pd.DataFrame) -> pd.DataFrame:
+    employees['bonus'] = employees['salary'] * 2
+    return employees
 ```
 
 ### **...**

solution/2800-2899/2881.Create a New Column/Solution.py

@@ -0,0 +1,6 @@
+import pandas as pd
+
+
+def createBonusColumn(employees: pd.DataFrame) -> pd.DataFrame:
+    employees['bonus'] = employees['salary'] * 2
+    return employees

solution/2800-2899/2882.Drop Duplicate Rows/README.md

@@ -62,7 +62,11 @@ Alic (customer_id = 4) and Finn (customer_id = 5) both use john@example.com, so
 <!-- 这里可写当前语言的特殊实现逻辑 -->
 
 ```python
+import pandas as pd
 
+
+def dropDuplicateEmails(customers: pd.DataFrame) -> pd.DataFrame:
+    return customers.drop_duplicates(subset=['email'])
 ```
 
 ### **...**

solution/2800-2899/2882.Drop Duplicate Rows/README_EN.md

@@ -56,7 +56,11 @@ Alic (customer_id = 4) and Finn (customer_id = 5) both use john@example.com, so
 ### **Pandas**
 
 ```python
+import pandas as pd
 
+
+def dropDuplicateEmails(customers: pd.DataFrame) -> pd.DataFrame:
+    return customers.drop_duplicates(subset=['email'])
 ```
 
 ### **...**

solution/2800-2899/2882.Drop Duplicate Rows/Solution.py

@@ -0,0 +1,5 @@
+import pandas as pd
+
+
+def dropDuplicateEmails(customers: pd.DataFrame) -> pd.DataFrame:
+    return customers.drop_duplicates(subset=['email'])

solution/2800-2899/2883.Drop Missing Data/README.md

@@ -57,7 +57,11 @@ Students with ids 779 and 849 have empty values in the name column, so they will
 <!-- 这里可写当前语言的特殊实现逻辑 -->
 
 ```python
+import pandas as pd
 
+
+def dropMissingData(students: pd.DataFrame) -> pd.DataFrame:
+    return students[students['name'].notnull()]
 ```
 
 ### **...**

solution/2800-2899/2883.Drop Missing Data/README_EN.md

@@ -51,7 +51,11 @@ Students with ids 779 and 849 have empty values in the name column, so they will
 ### **Pandas**
 
 ```python
+import pandas as pd
 
+
+def dropMissingData(students: pd.DataFrame) -> pd.DataFrame:
+    return students[students['name'].notnull()]
 ```
 
 ### **...**

solution/2800-2899/2883.Drop Missing Data/Solution.py

@@ -0,0 +1,5 @@
+import pandas as pd
+
+
+def dropMissingData(students: pd.DataFrame) -> pd.DataFrame:
+    return students[students['name'].notnull()]

solution/2800-2899/2884.Modify Columns/README.md

@@ -54,32 +54,17 @@ DataFrame <code>employees</code>
 
 <!-- tabs:start -->
 
-### **Python3**
+### **Pandas**
 
 <!-- 这里可写当前语言的特殊实现逻辑 -->
 
 ```python
+import pandas as pd
 
-```
-
-### **Java**
-
-<!-- 这里可写当前语言的特殊实现逻辑 -->
-
-```java
-
-```
-
-### **C++**
-
-```cpp
-
-```
-
-### **Go**
-
-```go
 
+def modifySalaryColumn(employees: pd.DataFrame) -> pd.DataFrame:
+    employees['salary'] *= 2
+    return employees
 ```
 
 ### **...**

solution/2800-2899/2884.Modify Columns/README_EN.md

@@ -53,7 +53,12 @@ DataFrame <code>employees</code>
 ### **Pandas**
 
 ```python
+import pandas as pd
 
+
+def modifySalaryColumn(employees: pd.DataFrame) -> pd.DataFrame:
+    employees['salary'] *= 2
+    return employees
 ```
 
 ### **...**

solution/2800-2899/2884.Modify Columns/Solution.py

@@ -0,0 +1,6 @@
+import pandas as pd
+
+
+def modifySalaryColumn(employees: pd.DataFrame) -> pd.DataFrame:
+    employees['salary'] *= 2
+    return employees

solution/2800-2899/2885.Rename Columns/README.md

@@ -66,7 +66,13 @@ The column names are changed accordingly.</pre>
 <!-- 这里可写当前语言的特殊实现逻辑 -->
 
 ```python
+import pandas as pd
 
+
+def renameColumns(students: pd.DataFrame) -> pd.DataFrame:
+    students.rename(columns={'id': 'student_id', 'first': 'first_name', 'last': 'last_name', 'age': 'age_in_years'},
+                    inplace=True)
+    return students
 ```
 
 ### **...**

solution/2800-2899/2885.Rename Columns/README_EN.md

@@ -60,7 +60,13 @@ The column names are changed accordingly.</pre>
 ### **Pandas**
 
 ```python
+import pandas as pd
 
+
+def renameColumns(students: pd.DataFrame) -> pd.DataFrame:
+    students.rename(columns={'id': 'student_id', 'first': 'first_name', 'last': 'last_name', 'age': 'age_in_years'},
+                    inplace=True)
+    return students
 ```
 
 ### **...**

solution/2800-2899/2885.Rename Columns/Solution.py

@@ -0,0 +1,14 @@
+import pandas as pd
+
+
+def renameColumns(students: pd.DataFrame) -> pd.DataFrame:
+    students.rename(
+        columns={
+            'id': 'student_id',
+            'first': 'first_name',
+            'last': 'last_name',
+            'age': 'age_in_years',
+        },
+        inplace=True,
+    )
+    return students

solution/2800-2899/2886.Change Data Type/README.md

@@ -56,7 +56,12 @@ The data types of the column grade is converted to int.</pre>
 <!-- 这里可写当前语言的特殊实现逻辑 -->
 
 ```python
+import pandas as pd
 
+
+def changeDatatype(students: pd.DataFrame) -> pd.DataFrame:
+    students['grade'] = students['grade'].astype(int)
+    return students
 ```
 
 ### **...**

solution/2800-2899/2886.Change Data Type/README_EN.md

@@ -50,7 +50,12 @@ The data types of the column grade is converted to int.</pre>
 ### **Pandas**
 
 ```python
+import pandas as pd
 
+
+def changeDatatype(students: pd.DataFrame) -> pd.DataFrame:
+    students['grade'] = students['grade'].astype(int)
+    return students
 ```
 
 ### **...**

solution/2800-2899/2886.Change Data Type/Solution.py

@@ -0,0 +1,6 @@
+import pandas as pd
+
+
+def changeDatatype(students: pd.DataFrame) -> pd.DataFrame:
+    students['grade'] = students['grade'].astype(int)
+    return students

solution/2800-2899/2887.Fill Missing Data/README.md

@@ -55,7 +55,12 @@ The quantity for Toaster and Headphones are filled by 0.</pre>
 <!-- 这里可写当前语言的特殊实现逻辑 -->
 
 ```python
+import pandas as pd
 
+
+def fillMissingValues(products: pd.DataFrame) -> pd.DataFrame:
+    products['quantity'] = products['quantity'].fillna(0)
+    return products
 ```
 
 ### **...**

solution/2800-2899/2887.Fill Missing Data/README_EN.md

@@ -49,7 +49,12 @@ The quantity for Toaster and Headphones are filled by 0.</pre>
 ### **Pandas**
 
 ```python
+import pandas as pd
 
+
+def fillMissingValues(products: pd.DataFrame) -> pd.DataFrame:
+    products['quantity'] = products['quantity'].fillna(0)
+    return products
 ```
 
 ### **...**

solution/2800-2899/2887.Fill Missing Data/Solution.py

@@ -0,0 +1,6 @@
+import pandas as pd
+
+
+def fillMissingValues(products: pd.DataFrame) -> pd.DataFrame:
+    products['quantity'] = products['quantity'].fillna(0)
+    return products

solution/2800-2899/2888.Reshape Data Concatenate/README.md

@@ -77,7 +77,11 @@ df1</strong>
 <!-- 这里可写当前语言的特殊实现逻辑 -->
 
 ```python
+import pandas as pd
 
+
+def concatenateTables(df1: pd.DataFrame, df2: pd.DataFrame) -> pd.DataFrame:
+    return pd.concat([df1, df2], ignore_index=True)
 ```
 
 ### **...**