SumOfSalaries = oupby(by=, as_index=False). ![]() I think you need only add parameter as_index=False to groupby, output is DataFrame without MultiIndex: sumOfSalaries = oupby(by=, as_index=False).sum() SumOfSalaries = oupby(by=).sum()ĭel #line giving me errorsĭf = pd.DataFrame(sumOfSalaries, columns = ) The Add Employee function will ask for the Employee Id and uses the check employee function to check whether the employee to be added already exist in our record or not if employee details do not already exist then it asks for details of the employee to be added like Employee Name, Post of Employee and Salary of the employee. SalariesData = pd.read_csv('Salaries.csv') How do I delete the indexes in sumofSalaries? def money (): '''Print Expectations on Salary''' salary, delta, percraise getuserinput () expectations calculateexpectations (salary, delta, percraise) printexpectations (expectations) money () And I would store the expectations in a List. How do I convert the data in the code following into a DataFrame?Ģ. I would use a docstring and split the method to even smaller ones. sumofSalaries.dtype is returning int64.ġ. Transcribed Image Text: 11:21 1 Snapchat Assignment 3-section 1 Program 2: Write a Python program to accept employee name and basic salary of n number of employees and calculate total salary of each employee according to the following formula Total salary Basic salary + Allowances The value of n should also be accepted as input. If the salary is missing in the function call then assign default value 9000 to salary See: Default arguments in function. ![]() It should accept the employee’s name and salary and display both. I was successful however in order to move onto the next task, I need a pandas DataFrame. Write a program to create a function showemployee() using the following conditions. For my assignment, I need to import baseball salary data into a pandas DataFrame.įrom there, one of my objectives is to get the salaries of all the teams per year.
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