Berikut adalah cara read write file CSV menggunakan Phyton :
1. Buat file csv : data.csv
NO,NAMA,ALAMAT
NO,NAMA,TELEPON
1,Bambang,081234
2,Richard,08712333
3,Bapak Budi,08733311
4,Jokowi Dodo,0851231
catatan : gunakan tanda petik untuk kata yang mengandung koma, seperti gelar
contoh :
1,"Bambang, S.Kom",Bandung
2. Buat file phyton : bacacsv.py
import csv
with open('data.csv') as csv_file:
csv_reader = csv.reader(csv_file, delimiter=",")
print(csv_reader)
for row in csv_reader:
print(row)
Output :
Catatan : Untuk format bisa disesuaikan dengan csv file
# membaca CSV dengan dlimiter tab
csv.reader(csv_file, delimiter="\t")
# membaca CSV dengan dlimiter titik dua :
csv.reader(csv_file, delimiter=":")
# membaca CSV dengan dlimiter titik koma ;
csv.reader(csv_file, delimiter=";")
3. Parsing File CSV di Python : parse_dic.py
3.1. Parsing CSV menjadi List
contoh 1 :
import csv
contacts = []
with open('data.csv') as csv_file:
csv_reader = csv.reader(csv_file, delimiter=",")
for row in csv_reader:
contacts.append(row)
print(contacts)
Output :
[['NO', 'NAMA', 'TELEPON'], ['1', 'Bambang', '081234'], ['2', 'Richard', '08712333'], ['3', 'Bapak Budi', '08733311'], ['4', 'Jokowi Dodo', '0851231']]
Contoh 2 :
import csv
contacts = []
with open('data.csv') as csv_file:
csv_reader = csv.reader(csv_file, delimiter=",")
for row in csv_reader:
contacts.append(row)
labels = contacts.pop(0)
print(labels)
print(contacts)
Output :
#isi list labels:
['NO', 'NAMA', 'TELEPON']
# isi list contacts:
[['1', 'Bambang', '081234'], ['2', 'Richard', '08712333'], ['3', 'Bapak Budi', '08733311'], ['4', 'Jokowi Dodo', '0851231']]
Contoh 3 :
import csv
contacts = []
with open('data.csv') as csv_file:
csv_reader = csv.reader(csv_file, delimiter=",")
for row in csv_reader:
contacts.append(row)
labels = contacts.pop(0)
#print(labels)
#print(contacts)
print(f'{labels[0]} \t {labels[1]} \t\t {labels[2]}')
print("-"*34)
for data in contacts:
print(f'{data[0]} \t {data[1]} \t {data[2]}')
Output :
3.2. Parsing CSV menjadi Dictionary
Contoh 1 :
import csv
contacts = []
with open('data.csv') as csv_file:
csv_reader = csv.DictReader(csv_file)
for row in csv_reader:
contacts.append(row)
print(contacts)
Output :
[OrderedDict([('NO', '1'), ('NAMA', 'Bambang'), ('TELEPON', '081234')]), OrderedDict([('NO', '2'), ('NAMA', 'Richard'), ('TELEPON', '08712333')]), OrderedDict([('NO', '3'), ('NAMA', 'Bapak Budi'), ('TELEPON', '08733311')]), OrderedDict([('NO', '4'), ('NAMA', 'Jokowi Dodo'), ('TELEPON', '0851231')])]
Contoh 2 :
import csv
contacts = []
with open('data.csv') as csv_file:
csv_reader = csv.DictReader(csv_file)
for row in csv_reader:
contacts.append(row)
print("NO \t NAMA \t\t TELEPON")
print("-" * 32)
for data in contacts:
print(f"{data['NO']} \t {data['NAMA']} \t {data['TELEPON']}")
Output :
4. Write file csv : tulis_csv_list.py
4.1. Menulis Data List ke CSV
import csv
with open('data.csv', mode='a') as csv_file:
# membuat objek writer
writer = csv.writer(csv_file, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)
# menulis baris ke file CSV
writer.writerow(["5", "Dian", "021100022"])
writer.writerow(["6", "Meli", "0214444432"])
print("Writing Done!")
Output :
jalankan kemudian jalan kan juga file parse_dic.py
4.2. Menulis Data Dictionary ke CSV
import csv
with open('data.csv', mode='a') as csv_file:
# menentukan label
fieldnames = ['NO', 'NAMA', 'TELEPON']
# membuat objek writer
writer = csv.DictWriter(csv_file, fieldnames=fieldnames)
# menulis baris ke file CSV
writer.writeheader()
writer.writerow({'NO': '10', 'NAMA': 'Via Vallen', 'TELEPON': '02109999'})
writer.writerow({'NO': '11', 'NAMA': 'M. Andi', 'TELEPON': '02148488888'})
print("Writing Done!")
Output :
jalankan kemudian jalan kan juga file parse_dic.py
