Hướng dẫn print list of dictionaries as table python - in danh sách từ điển dưới dạng bảng python

Question

Đối với đầu ra có cấu trúc ở định dạng ma trận, tôi sẽ đi với một cái gì đó như thế này:

Nội dung chính Show

Làm thế nào để bạn in một danh sách từ điển trong Python?
Làm cách nào để chuyển đổi danh sách các từ điển trong Python?
Làm thế nào để bạn in một định dạng bảng trong Python?
Làm cách nào để sắp xếp một danh sách từ điển theo giá trị của từ điển?

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

print(list(dict.fromkeys(keys)))
for v in vals:
    print(v)

['Name', 'Major', 'GPA']
['Edward', 'Biology', '2.4']
['Emily', 'Physics', '2.9']
['Sarah', 'Mathematics', '3.5']

Bằng cách này, bạn cũng có thể sử dụng gấu trúc nếu bạn thích:

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

Tất nhiên, có nhiều phương pháp đơn giản hơn với gấu trúc:

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

Làm thế nào để bạn in một định dạng bảng trong Python?

In một cái bàn trong Python.

Tabulation. Gói Tabulation là gói Python được sử dụng rộng rãi nhất cho các danh sách lập bảng; Nó có nhiều tùy chọn để chỉ định các tiêu đề và định dạng bảng. ....

Đẹp. PrettyTable là một gói phục vụ một mục đích tương tự với gói Tabulation. ....

Làm cách nào để sắp xếp một danh sách từ điển theo giá trị của từ điển?

Làm thế nào để bạn in một định dạng bảng trong Python?

In một cái bàn trong Python.

Tabulation. Gói Tabulation là gói Python được sử dụng rộng rãi nhất cho các danh sách lập bảng; Nó có nhiều tùy chọn để chỉ định các tiêu đề và định dạng bảng. ....

Đẹp. PrettyTable là một gói phục vụ một mục đích tương tự với gói Tabulation. ....

Examples:

Input: 
{1: ["Samuel", 21, 'Data Structures'], 
2: ["Richie", 20, 'Machine Learning'], 
3: ["Lauren", 21, 'OOPS with java'], 
}

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

Làm cách nào để sắp xếp một danh sách từ điển theo giá trị của từ điển? Displaying results by iterating through values.

Python3

dict1 =

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

0

dict1 =

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

3

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

8

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

5

NAME AGE COURSE  
Samuel 21 Data Structures  
Richie 20 Machine Learning  
Lauren 21 OOPS with Java

9

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7=9

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

19

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

1

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

2

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

3

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

5

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

5

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

9

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

1

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

2

Input: 
{1: ["Samuel", 21, 'Data Structures'], 
2: ["Richie", 20, 'Machine Learning'], 
3: ["Lauren", 21, 'OOPS with java'], 
}

2

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

5

Input: 
{1: ["Samuel", 21, 'Data Structures'], 
2: ["Richie", 20, 'Machine Learning'], 
3: ["Lauren", 21, 'OOPS with java'], 
}

4

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

8

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7

Input: 
{1: ["Samuel", 21, 'Data Structures'], 
2: ["Richie", 20, 'Machine Learning'], 
3: ["Lauren", 21, 'OOPS with java'], 
}

8

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

1

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

2

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

1

NAME       AGE        COURSE    
Samuel     21         Data Structures
Richie     20         Machine Learning
Lauren     21         OOPS with java

4

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

99

NAME       AGE        COURSE    
Samuel     21         Data Structures
Richie     20         Machine Learning
Lauren     21         OOPS with java

6

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

01

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

3__

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

07

NAME       AGE        COURSE    
Samuel     21         Data Structures
Richie     20         Machine Learning
Lauren     21         OOPS with java

4

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

09

NAME       AGE        COURSE    
Samuel     21         Data Structures
Richie     20         Machine Learning
Lauren     21         OOPS with java

6

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

11

NAME       AGE        COURSE    
Samuel     21         Data Structures
Richie     20         Machine Learning
Lauren     21         OOPS with java

8

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

2

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

3

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

03

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

16

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

17__

NAME       AGE        COURSE    
Samuel     21         Data Structures
Richie     20         Machine Learning
Lauren     21         OOPS with java

8

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

2

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

3

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

4

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

5

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

6

 NAME   AGE    COURSE 
Samuel   21   Data structures   
Richie   20   Machine Learning   
Lauren   21   OOPS with Java

8

Đầu ra

NAME       AGE        COURSE    
Samuel     21         Data Structures
Richie     20         Machine Learning
Lauren     21         OOPS with java

Làm thế nào để bạn in một danh sách từ điển trong Python? Displaying by using a matrix format

Python3

dict1 =

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

0

dict1 =

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

3

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

8

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

5

NAME AGE COURSE  
Samuel 21 Data Structures  
Richie 20 Machine Learning  
Lauren 21 OOPS with Java

9

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7=9

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

19

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

1

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

2

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

3

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

4

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7

NAME AGE COURSE  
Samuel 21 Data Structures  
Richie 20 Machine Learning  
Lauren 21 OOPS with Java

5

NAME AGE COURSE  
Samuel 21 Data Structures  
Richie 20 Machine Learning  
Lauren 21 OOPS with Java

8=9dict1 0

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

4

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

4

NAME AGE COURSE  
Samuel 21 Data Structures  
Richie 20 Machine Learning  
Lauren 21 OOPS with Java

8

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7dict1 0

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

4

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

3

NAME AGE COURSE  
Samuel 21 Data Structures  
Richie 20 Machine Learning  
Lauren 21 OOPS with Java

8

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

9=2

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

2___

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

2

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

1

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

2

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

3

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

36

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

38

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

40

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

41

NAME       AGE        COURSE    
Samuel     21         Data Structures
Richie     20         Machine Learning
Lauren     21         OOPS with java

4

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

43

NAME       AGE        COURSE    
Samuel     21         Data Structures
Richie     20         Machine Learning
Lauren     21         OOPS with java

6

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

45

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

3

Input: 
{1: ["Samuel", 21, 'Data Structures'], 
2: ["Richie", 20, 'Machine Learning'], 
3: ["Lauren", 21, 'OOPS with java'], 
}

2

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

48

NAME       AGE        COURSE    
Samuel     21         Data Structures
Richie     20         Machine Learning
Lauren     21         OOPS with java

8

NAME       AGE        COURSE    
Samuel     21         Data Structures
Richie     20         Machine Learning
Lauren     21         OOPS with java

4

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

51

NAME       AGE        COURSE    
Samuel     21         Data Structures
Richie     20         Machine Learning
Lauren     21         OOPS with java

6

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

45

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

3

Input: 
{1: ["Samuel", 21, 'Data Structures'], 
2: ["Richie", 20, 'Machine Learning'], 
3: ["Lauren", 21, 'OOPS with java'], 
}

2

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

48

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

57

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

2

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

59=

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

61

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

41

NAME       AGE        COURSE    
Samuel     21         Data Structures
Richie     20         Machine Learning
Lauren     21         OOPS with java

8

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

2

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

65

Đầu ra

 NAME   AGE    COURSE 
Samuel   21   Data structures   
Richie   20   Machine Learning   
Lauren   21   OOPS with Java

Phương pháp 3: Hiển thị bằng cách sử dụng Định dạng ZIP & NBSP; Displaying by using zip format

Python3

dict1 =

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

0

dict1 =

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

3

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

8

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

5

NAME AGE COURSE  
Samuel 21 Data Structures  
Richie 20 Machine Learning  
Lauren 21 OOPS with Java

9

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7=9

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

19

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

1

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

2

NAME       AGE        COURSE    
Samuel     21         Data Structures
Richie     20         Machine Learning
Lauren     21         OOPS with java

0

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

5

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

8

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

8

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

1

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

2

NAME       AGE        COURSE    
Samuel     21         Data Structures
Richie     20         Machine Learning
Lauren     21         OOPS with java

2

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

5

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

0

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

9

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

7

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

31

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

97

NAME       AGE        COURSE    
Samuel     21         Data Structures
Richie     20         Machine Learning
Lauren     21         OOPS with java

4

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

keys = []
vals = []
for data in dataset:
    val = []
    for k,v in data.items():
        keys.append(k)
        val.append(v)
    vals.append(val)

pd.DataFrame([v for v in vals], columns=list(dict.fromkeys(keys)))

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

99

NAME       AGE        COURSE    
Samuel     21         Data Structures
Richie     20         Machine Learning
Lauren     21         OOPS with java

6

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

01

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

3__

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

07

NAME       AGE        COURSE    
Samuel     21         Data Structures
Richie     20         Machine Learning
Lauren     21         OOPS with java

4

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

09

NAME       AGE        COURSE    
Samuel     21         Data Structures
Richie     20         Machine Learning
Lauren     21         OOPS with java

6

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

11

NAME       AGE        COURSE    
Samuel     21         Data Structures
Richie     20         Machine Learning
Lauren     21         OOPS with java

8

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

2

Output: 
NAME AGE COURSE 
Samuel 21 Data Structures 
Richie 20 Machine Learning 
Lauren 21 OOPS with java

3

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

03

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

16

import pandas as pd

dataset =[{'Name': 'Edward', 'Major': 'Biology',     'GPA': '2.4'},
          {'Name': 'Emily',  'Major': 'Physics',     'GPA': '2.9'},
          {'Name': 'Sarah',  'Major': 'Mathematics', 'GPA': '3.5'}]

pd.DataFrame(dataset).reindex(columns=['Name','Major','GPA'])

    Name    Major       GPA
0   Edward  Biology     2.4
1   Emily   Physics     2.9
2   Sarah   Mathematics 3.5

17__

Đầu ra

NAME AGE COURSE  
Samuel 21 Data Structures  
Richie 20 Machine Learning  
Lauren 21 OOPS with Java

Làm thế nào để bạn in một danh sách từ điển trong Python?

Python's dict. Phương thức khóa () có thể được sử dụng để truy xuất các khóa từ điển, sau đó có thể được in bằng hàm in (). Một đối tượng xem hiển thị danh sách mọi khóa trong từ điển là kết quả của dict. Phương thức khóa ().using the print() function. A view object that shows a list of every key in the dictionary is the result of the dict. keys() method.

Làm cách nào để chuyển đổi danh sách các từ điển trong Python?

Vì từ điển Python không được đặt hàng, đầu ra có thể theo bất kỳ thứ tự nào.Để chuyển đổi danh sách thành từ điển, chúng ta có thể sử dụng danh sách hiểu và tạo khóa: cặp giá trị của các yếu tố liên tiếp. Về mặt, typecase danh sách thành loại Dict.use list comprehension and make a key:value pair of consecutive elements. Finally, typecase the list to dict type.

Làm thế nào để bạn in một định dạng bảng trong Python?

In một cái bàn trong Python..

Tabulation.Gói Tabulation là gói Python được sử dụng rộng rãi nhất cho các danh sách lập bảng;Nó có nhiều tùy chọn để chỉ định các tiêu đề và định dạng bảng.....

Đẹp.PrettyTable là một gói phục vụ một mục đích tương tự với gói Tabulation.....

texttable..

Làm cách nào để sắp xếp một danh sách từ điển theo giá trị của từ điển?

Để sắp xếp một danh sách các từ điển theo giá trị của khóa cụ thể, chỉ định tham số khóa của phương thức Sắp xếp () hoặc hàm Sắp xếp ().Bằng cách chỉ định một hàm được áp dụng cho từng phần tử của danh sách, nó được sắp xếp theo kết quả của hàm đó.Xem bài viết sau đây để biết thêm thông tin.specify the key parameter of the sort() method or the sorted() function. By specifying a function to be applied to each element of the list, it is sorted according to the result of that function. See the following article for more information.

programming python Print dictionary list

Hướng dẫn print list of dictionaries as table python - in danh sách từ điển dưới dạng bảng python

Python3

Python3

Python3

Làm thế nào để bạn in một danh sách từ điển trong Python?

Làm cách nào để chuyển đổi danh sách các từ điển trong Python?

Làm thế nào để bạn in một định dạng bảng trong Python?

Làm cách nào để sắp xếp một danh sách từ điển theo giá trị của từ điển?

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