I have 2 simple .txt files. One file contains a person's name and pay. The second file contains a person's name and job title.
Data from first file...
John Doe $750.00
Jane Doe $450.00
Sammy Joe $350.00
Data from second file...
John Doe (Store Manager)
Jane Doe (Asst Store Mngr)
Sammy Joe (Shift Manager)
I need to produce an output like: Persons Name (Job Title) ---- Pay
Example/ John Doe (Store Manager) ---- $450.00
CodePudding user response:
filename = str(input("File Name : ")
file = open(f"{filename}.txt", "w")
filewrite = str(input("Write Content : ")
file.write(filewrite)
sorry but i dont know int print its just str
CodePudding user response:
We could use the pd.merge function here I think
import pandas as pd
file_name_pay = pd.read_fwf('file1.txt')
file_name_jobtitle = pd.read_fwf('file2.txt')
df = pd.merge(file_name_pay,file_name_jobtitle, on = ['name'], how = 'inner')
I would validate if the names were written the same way in both files
CodePudding user response:
You can loop over both files at the same time and separate out the name, job and pay
def my_zip(file_1, file_2):
for line_1, line_2 in zip(file_1, file_2):
*name, job = line_1.split()
pay = line_2.split()[-1]
yield ' '.join(name), job, pay
with open('file1.txt', 'r') as name_and_job, open('file2.txt','r') as name_and_pay:
for name, job, pay in my_zip(name_and_job, name_and_pay):
print(f'{name} {job} --- {pay}')