how can I write my function output on CSV file

[rxndy]

A way that is much faster is:

1 2 3 4 5 6 7 8 9

import pandas as pd   df = pd.read_csv("grades.csv") grades = df.iloc[:, 1:] names = df.iloc[:, 0] averages = grades.mean(axis=1)   output = pd.DataFrame(names, averages) output.to_csv("Final_grades.csv", index=False)

[buran]

@rxndy, this is most probably just a school project/homework assignment and I doubt they will be allowed to to use pandas
and please fix your code because you will get NameError on line 6 - now it is fixed

[rxndy]

@rxndy, this is most probably just a school project/homework assignment and I doubt they will be allowed to to use pandas
and please fix your code because you will get NameError on line 6

True, My bad. I probably just confused people even more.

[go127a]

I have another question.

can I use function and mixed a number of operation on one csv file?

for the same code:

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

import csv from statistics import mean import itertools from collections import OrderedDict   def calculate_averages(input_file_name, output_file_name):     with open ('grades.csv', 'r') as input_file_name:         reader=csv.reader(input_file_name)         data = []         for row in reader:             l2 = []             name = row[0]             grades=[int(num) for num in row[1:]]             l2.append(name)             l2.append(float(mean(grades)))             data.append(l2)                   with open('grades.csv', 'w', newline='') as output_file_name:         writer = csv.writer(output_file_name)         writer.writerows(data)

and after that i am going to use another function...