sample csv file for python

# This action requires the 'csv' module
import csv

# The basic usage is to first define the rows of the csv file:
row_list = [["SN", "Name", "Contribution"],
             [1, "Linus Torvalds", "Linux Kernel"],
             [2, "Tim Berners-Lee", "World Wide Web"],
             [3, "Guido van Rossum", "Python Programming"]]

# And then use the following to create the csv file:
with open('protagonist.csv', 'w', newline='') as file:
    writer = csv.writer(file)
    writer.writerows(row_list)
# This will create a csv file in the current directory

import pandas as pd 
data = pd.read_csv("filename.csv") 
data.head()

import csv

with open('employee_birthday.txt') as csv_file:
    csv_reader = csv.reader(csv_file, delimiter=',')
    line_count = 0
    for row in csv_reader:
        if line_count == 0:
            print(f'Column names are {", ".join(row)}')
            line_count += 1
        else:
            print(f'\t{row[0]} works in the {row[1]} department, and was born in {row[2]}.')
            line_count += 1
    print(f'Processed {line_count} lines.')

with open(r'c:\dl\FrameRecentSessions.csv') as csv_file:
    csv_reader = csv.reader(csv_file, delimiter=',')
    line_count = 0
    for row in csv_reader:
        if line_count == 0:
            print(f'Column names are {", ".join(row)}')
            line_count += 1
        else:
            print(f'\t{row[0]} works in the {row[1]} department, and was born in {row[2]}.')
            line_count += 1
    print(f'Processed {line_count} lines.')

import pandas as pd

df = pd.read_csv (r'Path where the CSV file is stored\File name.csv')
print (df)

import panda as pd 
df= pd.read_csv("file path")
df 

import csv

with open('example.csv') as csvfile:
    readCSV = csv.reader(csvfile, delimiter=',')