Đối với đầu ra có cấu trúc ở định dạng ma trận, tôi sẽ đi với một cái gì đó như thế này:
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. ....
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
0dict1
=
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
3Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java8
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
5NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with Java9
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=
9import 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
7import 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
19import 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
1import 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
2import 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
3import 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
5import 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
5import 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
7import 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
7import 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
7import 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
9import 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
1import 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
2Input: {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
5Input: {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
7import 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
8import 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
7Input: {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
1import 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
2Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java1
NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java4
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
99NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java6
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
01Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java3__
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
07NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java4
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
09NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java6
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
11NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java8
Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java2
Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java3
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
03import 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
16import 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 java8
Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java2
Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java3
Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java4
Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java5
Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java6
NAME AGE COURSE Samuel 21 Data structures Richie 20 Machine Learning Lauren 21 OOPS with Java8
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
0dict1
=
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
3Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java8
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
5NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with Java9
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=
9import 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
7import 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
19import 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
1import 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
2Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java3
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
4import 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
7NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with Java5
NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with Java8
=
9dict1
0import 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
4import 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
7import 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
4NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with Java8
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
0import 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
4import 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
7import 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
3NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with Java8
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=
2import 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
2Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java1
Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java2
Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java3
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
36import 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
7import 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
38import 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
7import 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
40import 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
41NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java4
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
43NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java6
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
45Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java3
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
48NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java8
NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java4
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
51NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java6
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
45Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java3
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
48import 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
57Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java2
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
61import 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
41NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java8
Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java2
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
65Đầu 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
0dict1
=
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
3Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java8
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
5NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with Java9
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=
9import 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
7import 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
19import 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
1import 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
2NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java0
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
5import 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
8import 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
7import 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
7import 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
7import 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
8import 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
1import 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
2NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java2
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
5import 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
0import 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
7import 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
9import 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
7import 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
31import 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
97NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java4
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
99NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java6
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
01Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java3__
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
07NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java4
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
09NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java6
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
11NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java8
Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java2
Output: NAME AGE COURSE Samuel 21 Data Structures Richie 20 Machine Learning Lauren 21 OOPS with java3
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
03import 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
16import 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