Python las 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)
Random boi
# 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)import csv
with open('file_csv.csv', newline='') as file:
reader = csv.reader(file)
for row in reader:
print(row)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'})
import csv
with open('some.csv', newline='') as f:
reader = csv.reader(f)
for row in reader:
print(row)
import csv
with open('example.csv') as csvfile:
readCSV = csv.reader(csvfile, delimiter=',')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.')