python read csv
# pip install pandas
import pandas as pd
# Read the csv file
data = pd.read_csv('data.csv')
# Print it out if you want
print(data)python read csv
# pip install pandas
import pandas as pd
# Read the csv file
data = pd.read_csv('data.csv')
# Print it out if you want
print(data)create csv file 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 directorycsv python write
import csv
with open('names.csv', 'w') as csvfile:
fieldnames = ['first_name', 'last_name']
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
writer.writeheader()
writer.writerow({'first_name': 'Baked', 'last_name': 'Beans'})
writer.writerow({'first_name': 'Lovely', 'last_name': 'Spam'})
writer.writerow({'first_name': 'Wonderful', 'last_name': 'Spam'})how to read a csv file in python
import csv
with open('some.csv', newline='') as f:
reader = csv.reader(f)
for row in reader:
print(row)import csv file in python
import pandas as pd
df = pd.read_csv (r'Path where the CSV file is storedFile name.csv')
print (df)python csv reader
with open(r'c:dlFrameRecentSessions.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.')Copyright © 2021 Codeinu
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