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 pandas as pd
df = pd.read_csv (r'Path where the CSV file is stored\File name.csv')
print (df)
import csv
header = ['name', 'area', 'country_code2', 'country_code3']
data = ['Afghanistan', 652090, 'AF', 'AFG']
with open('countries.csv', 'w', encoding='UTF8') as f:
writer = csv.writer(f)
# write the header
writer.writerow(header)
# write the data
writer.writerow(data)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.')#!/usr/bin/env python
# -*-coding: utf-8 -*
entetes = [
u'Colonne1',
u'Colonne2',
u'Colonne3',
u'Colonne4',
u'Colonne5'
]
valeurs = [
[u'Valeur1', u'Valeur2', u'Valeur3', u'Valeur4', u'Valeur5'],
[u'Valeur6', u'Valeur7', u'Valeur8', u'Valeur9', u'Valeur10'],
[u'Valeur11', u'Valeur12', u'Valeur13', u'Valeur14', u'Valeur15']
]
f = open('monFichier.csv', 'w')
ligneEntete = ";".join(entetes) + "\n"
f.write(ligneEntete)
for valeur in valeurs:
ligne = ";".join(valeur) + "\n"
f.write(ligne)
f.close()