首先，对我的英语（不是我的母语）很抱歉。我是python（或任何类型的编程）的新手 我有一个带有4个列的.txt文件（列头不在文件中）： “姓名，年龄，职业，薪水，公司年限”
我需要为一个函数编写代码，并使用以下命令打印出字典：
{
'average_age': $avg,
'best_paid_job': $best_paid,
'best_paid_employee': $best_paid_employee,
'no_employees': $no_employees,
'top_3_jobs': [$job1,$job2, $job3],
'seniors': $no_seniors,
'middle': $no_middle,
'juniors': $no_juniors'
}
其中
$ avg: float representing the average age of employees.
$ best_paid_job: int, the highest value for salary.
$ best_paid_employee: string, the name of the employee with the highest salary.
$ no_employees: int, number of employees.
$ top_3_jobs: List of strings representing the most common 3 jobs.
$ no_seniors: The number of senior employees in the company. They are all considered to be seniors employees who have more than 5 years of seniority in the company ,'years_in_the_company' 'is greater than 5).
$ no_middle: The number of middle employees in the company. They are all considered middle employees aged 3-5 years.
$ no_junior: The number of junior employees in the company. All are considered junior employees aged less than 3 years.
诀窍是不能使用任何预定义的python函数（例如，csv，numpy ..） 我需要基本代码 你们可以帮助部分代码吗？我在过去的一周中尽力而为，
这是我的文件（data.txt）
Helen 20 Network Designer 5449 9
Jasmine 40 Software Architect 2536 1
Phoebe 28 Software Engineer 2627 7
Aysha 34 Software Developer 6441 3
Madeleine 26 Systems Engineer 5948 6
Christina 27 Python Developer 8366 5
Melissa 29 Data Scientist 6262 4
Marie 44 Researcher 6936 6
Tamara 40 System Administrator 9727 1
Freya 43 Software Engineer in Test 5686 10
Charles 43 System Administrator 3114 8
John 24 Software Engineer in Test 7035 4
Joe 30 Network Designer 2916 4
Elmer 37 Software Architect 4641 10
Tobias 38 Systems Engineer 5757 7
Samuel 43 Python Developer 4092 7
Casey 43 Systems Engineer 5318 1
Otis 45 Software Architect 3356 2
Frank 37 Python Developer 8111 1
Hugo 37 Software Architect 4632 5
Justin 35 Python Developer 2260 7
Jessie 39 System Administrator 4162 6
答案 0 :(得分：0)
我已经为这种数据完成了解析器...
我用双空格分隔每行。此外，我们需要为两名员工提供一个小小的解决方案...
Hexdump
file name: data.txt
mime type:
0000-0010: 48 65 6c 65-6e 20 20 20-32 30 20 20-4e 65 74 77 Helen... 20..Netw
0000-0020: 6f 72 6b 20-44 65 73 69-67 6e 65 72-20 20 20 20 ork.Desi gner....
0000-0030: 35 34 34 39-20 20 20 20-39 0d 0a 4a-61 73 6d 69 5449.... 9..Jasmi
0000-0040: 6e 65 20 34-30 20 20 53-6f 66 74 77-61 72 65 20 ne.40..S oftware.
0000-0050: 41 72 63 68-69 74 65 63-74 20 20 32-35 33 36 20 Architec t..2536.
0000-0060: 20 20 20 31-0d 0a 50 68-6f 65 62 65-20 20 32 38 ...1..Ph oebe..28
0000-0070: 20 20 53 6f-66 74 77 61-72 65 20 45-6e 67 69 6e ..Softwa re.Engin
0000-0080: 65 65 72 20-20 20 32 36-32 37 20 20-20 20 37 0d eer...26 27....7.
0000-0090: 0a 41 79 73-68 61 20 20-20 33 34 20-20 53 6f 66 .Aysha.. .34..Sof
0000-00a0: 74 77 61 72-65 20 44 65-76 65 6c 6f-70 65 72 20 tware.De veloper.
0000-00b0: 20 36 34 34-31 20 20 20-20 33 0d 0a-4d 61 64 65 .6441... .3..Made
0000-00c0: 6c 65 69 6e-65 20 20 20-32 36 20 20-53 79 73 74 leine... 26..Syst
0000-00d0: 65 6d 73 20-45 6e 67 69-6e 65 65 72-20 20 20 20 ems.Engi neer....
0000-00e0: 35 39 34 38-20 20 20 20-36 0d 0a 43-68 72 69 73 5948.... 6..Chris
0000-00f0: 74 69 6e 61-20 20 20 32-37 20 20 50-79 74 68 6f tina...2 7..Pytho
0000-0100: 6e 20 44 65-76 65 6c 6f-70 65 72 20-20 20 20 38 n.Develo per....8
0000-0110: 33 36 36 20-20 20 20 35-0d 0a 4d 65-6c 69 73 73 366....5 ..Meliss
0000-0120: 61 20 32 39-20 20 44 61-74 61 20 53-63 69 65 6e a.29..Da ta.Scien
0000-0130: 74 69 73 74-20 20 36 32-36 32 20 20-20 20 34 0d tist..62 62....4.
0000-0140: 0a 4d 61 72-69 65 20 20-20 34 34 20-20 52 65 73 .Marie.. .44..Res
0000-0150: 65 61 72 63-68 65 72 20-20 36 39 33-36 20 20 20 earcher. .6936...
0000-0160: 20 36 0d 0a-54 61 6d 61-72 61 20 20-34 30 20 20 .6..Tama ra..40..
0000-0170: 53 79 73 74-65 6d 20 41-64 6d 69 6e-69 73 74 72 System.A dministr
0000-0180: 61 74 6f 72-20 20 20 20-39 37 32 37-20 20 20 20 ator.... 9727....
0000-0190: 31 0d 0a 46-72 65 79 61-20 20 20 34-33 20 20 53 1..Freya ...43..S
0000-01a0: 6f 66 74 77-61 72 65 20-45 6e 67 69-6e 65 65 72 oftware. Engineer
0000-01b0: 20 69 6e 20-54 65 73 74-20 20 20 35-36 38 36 20 .in.Test ...5686.
0000-01c0: 20 20 20 31-30 0d 0a 43-68 61 72 6c-65 73 20 34 ...10..C harles.4
0000-01d0: 33 20 20 53-79 73 74 65-6d 20 41 64-6d 69 6e 69 3..Syste m.Admini
0000-01e0: 73 74 72 61-74 6f 72 20-20 20 20 33-31 31 34 20 strator. ...3114.
0000-01f0: 20 20 20 38-0d 0a 4a 6f-68 6e 20 20-20 20 32 34 ...8..Jo hn....24
0000-0200: 20 20 53 6f-66 74 77 61-72 65 20 45-6e 67 69 6e ..Softwa re.Engin
0000-0210: 65 65 72 20-69 6e 20 54-65 73 74 20-20 20 37 30 eer.in.T est...70
0000-0220: 33 35 20 20-20 20 34 0d-0a 4a 6f 65-20 33 30 20 35....4. .Joe.30.
0000-0230: 20 4e 65 74-77 6f 72 6b-20 44 65 73-69 67 6e 65 .Network .Designe
0000-0240: 72 20 20 20-20 32 39 31-36 20 20 20-20 34 0d 0a r....291 6....4..
0000-0250: 45 6c 6d 65-72 20 20 20-33 37 20 20-53 6f 66 74 Elmer... 37..Soft
0000-0260: 77 61 72 65-20 41 72 63-68 69 74 65-63 74 20 20 ware.Arc hitect..
0000-0270: 34 36 34 31-20 20 20 20-31 30 0d 0a-54 6f 62 69 4641.... 10..Tobi
0000-0280: 61 73 20 20-33 38 20 20-53 79 73 74-65 6d 73 20 as..38.. Systems.
0000-0290: 45 6e 67 69-6e 65 65 72-20 20 20 20-35 37 35 37 Engineer ....5757
0000-02a0: 20 20 20 20-37 0d 0a 53-61 6d 75 65-6c 20 20 34 ....7..S amuel..4
0000-02b0: 33 20 20 50-79 74 68 6f-6e 20 44 65-76 65 6c 6f 3..Pytho n.Develo
0000-02c0: 70 65 72 20-20 20 20 34-30 39 32 20-20 20 20 37 per....4 092....7
0000-02d0: 0d 0a 43 61-73 65 79 20-20 20 34 33-20 20 53 79 ..Casey. ..43..Sy
0000-02e0: 73 74 65 6d-73 20 45 6e-67 69 6e 65-65 72 20 20 stems.En gineer..
0000-02f0: 20 20 35 33-31 38 20 20-20 20 31 0d-0a 4f 74 69 ..5318.. ..1..Oti
0000-0300: 73 20 20 20-20 34 35 20-20 53 6f 66-74 77 61 72 s....45. .Softwar
0000-0310: 65 20 41 72-63 68 69 74-65 63 74 20-20 33 33 35 e.Archit ect..335
0000-0320: 36 20 20 20-20 32 0d 0a-46 72 61 6e-6b 20 20 20 6....2.. Frank...
0000-0330: 33 37 20 20-50 79 74 68-6f 6e 20 44-65 76 65 6c 37..Pyth on.Devel
0000-0340: 6f 70 65 72-20 20 20 20-38 31 31 31-20 20 20 20 oper.... 8111....
0000-0350: 31 0d 0a 48-75 67 6f 20-20 20 20 33-37 20 20 53 1..Hugo. ...37..S
0000-0360: 6f 66 74 77-61 72 65 20-41 72 63 68-69 74 65 63 oftware. Architec
0000-0370: 74 20 20 34-36 33 32 20-20 20 20 35-0d 0a 4a 75 t..4632. ...5..Ju
0000-0380: 73 74 69 6e-20 20 33 35-20 20 50 79-74 68 6f 6e stin..35 ..Python
0000-0390: 20 44 65 76-65 6c 6f 70-65 72 20 20-20 20 32 32 .Develop er....22
0000-03a0: 36 30 20 20-20 20 37 0d-0a 4a 65 73-73 69 65 20 60....7. .Jessie.
0000-03b0: 20 33 39 20-20 53 79 73-74 65 6d 20-41 64 6d 69 .39..Sys tem.Admi
0000-03c0: 6e 69 73 74-72 61 74 6f-72 20 20 20-20 34 31 36 nistrato r....416
0000-03c6: 32 20 20 20-20 36 2....6
import operator
# Person class
class Person:
def __init__(self, name, age, occupation, salary, years_in_the_company):
self.name = name
self.age = age
self.occupation = occupation
self.salary = salary
self.years_in_the_company = years_in_the_company
# https://stackoverflow.com/a/53261987/5802172
def check_num(s):
try:
int(s)
return True
except:
return False
Persons = list()
f = open("data.txt")
# read file
data = f.read()
# split each line :)
data = data.split("\n")
# parse each line
for i in range(len(data)):
# split each whitespace
tmp = data[i].split(" ")
# remove useless whitespaces
tmp = list(filter(None, tmp))
# quick & dirty fix for melissa and charles
if " " in tmp[0]:
xFix = tmp[0].split(" ")
tmp[0] = xFix[0]
tmp.insert(1, xFix[1])
else:
tmp[1] = tmp[1]
tmp[2] = tmp[2].strip()
tmp[3] = tmp[3].strip()
# Check if number or string, due to occupation
#print(tmp)
Persons.append(Person(tmp[0], tmp[1], tmp[2], tmp[3], tmp[4]))
avg = 0
salary = list()
top_3_jobs = {}
highest_employee = list((0, ""))
seniors_middle_junior = { "senior": 0, "middle": 0, "junior": 0 }
for per in range(len(Persons)):
print("Name: {}, Age: {}, Occupation: {}, Salary: {}, Years: {}".format(Persons[per].name, Persons[per].age, Persons[per].occupation, Persons[per].salary, Persons[per].years_in_the_company))
# add to avg
avg = avg + int(Persons[per].age)
# add salary to salary
salary.append(Persons[per].salary)
# get highest paid employee
if int(Persons[per].salary) > int(highest_employee[0]):
highest_employee[0] = Persons[per].salary
highest_employee[1] = Persons[per].name
# count occupations
if Persons[per].occupation in top_3_jobs:
top_3_jobs[Persons[per].occupation] = top_3_jobs[Persons[per].occupation] + 1
else:
top_3_jobs[Persons[per].occupation] = 1
# count senior, middle, junior
if int(Persons[per].years_in_the_company) > 5:
seniors_middle_junior["senior"] = seniors_middle_junior["senior"] + 1
elif int(Persons[per].years_in_the_company) > 2 and int(Persons[per].years_in_the_company) < 5:
seniors_middle_junior["middle"] = seniors_middle_junior["middle"] + 1
elif int(Persons[per].years_in_the_company) < 3:
seniors_middle_junior["junior"] = seniors_middle_junior["junior"] + 1
# sort
sorted_top_3_jobs = sorted(top_3_jobs.items(), key=operator.itemgetter(1))
print("Avg: {}\nBest paid: {}\nBest paid employee: {}\nEmployees: {}\nTop 3 Jobs: {}\nSeniors: {}\nMiddles: {}\nJuniors: {}".format(
avg / len(Persons),
max(salary),
highest_employee[1],
len(Persons),
sorted_top_3_jobs[-3:],
seniors_middle_junior["senior"],
seniors_middle_junior["middle"],
seniors_middle_junior["junior"]
))
答案 1 :(得分：0)
import json
person = {"people": []}
with open("outfile", 'r') as thefile:
thefile = thefile.readlines()
for line in thefile:
per_person = line.split(" ")
name = per_person[0]
age = per_person[1]
job = per_person[2]
not_sure_head = per_person[3]
not_sure_head2 = per_person[4]
person_dict = {name: {"age":age,
"job": job,
"bleh": not_sure_head,
"bleh2": not_sure_head2}}
person["people"].append(person_dict)
json_data = json.dumps(person, indent=4)
print((json_data))
您可以逐行读取文件，并使用标签将每一行分开。每行都是一个人的数据。根据需要将其存储到变量。在这里我用了字典。
输出-
{
"people": [
{
"Helen": {
"age": "20",
"job": "Network Designer",
"bleh": "5449",
"bleh2": "9\n"
}
},
{
"Jasmine": {
"age": "40",
"job": "Software Architect",
"bleh": "2536",
"bleh2": "1\n"
}
},
{
"Phoebe": {
"age": "28",
"job": "Software",
"bleh": "Engineer",
"bleh2": "2627"
}
},
{
"Aysha": {
"age": "34",
"job": "Software Developer",
"bleh": "6441",
"bleh2": "3\n"
}
},
{
"Madeleine": {
"age": "26",
"job": "Systems Engineer",
"bleh": "5948",
"bleh2": "6"
}
}
]
}
您需要进行一些调整才能轻松浏览字典。