csv
--- Baca dan Tulis file CSV¶
Kode sumber: Lib/csv.py
Format CSV (Comma Separated Values) adalah format impor dan ekspor data yang paling umum digunakan untuk data spreadsheet dan database. Format CSV telah digunakan selama bertahun-tahun sebelum adanya upaya untuk mendeskripsikan format yang distandardisasi pada RFC 4180. Kurangnya standar yang terdefinisi dengan baik berarti banyak perbedaan tipis pada data yang dihasilkan dan digunakan dengan penggunaan yang berbeda. Perbedaan tersebut membuat tidak mudah untuk memproses file CSV dari beberapa sumber. Namun, meskipun karakter pembatas dan kutipan berbeda-beda, keseluruhan formatnya cukup mirip sehingga memungkinkan untuk menulis sebuah modul yang secara efisien dapat memanipulasi data tersebut.
Modul csv
mengimplementasikan kelas-kelas untuk membaca dan menulis data tabular dengan format CSV. Hal ini memungkinkan pemrogram untuk mengatakan, "tulis data ini dalam format yang disukai oleh Excel," atau "baca data dari file ini yang dihasilkan oleh Excel," tanpa mengetahui detail persis dari format CSV yang digunakan oleh Excel. Pemrogram juga bisa mendeskripsikan format CSV yang dapat dipahami oleh aplikasi lain atau menentukan format CSV nya sendiri dengan tujuan tertentu.
Modul milik csv
, reader
dan writer
objek membaca dan menulis urutan-urutan. Pemrogram juga bisa membaca dan menulis data dalam bentuk dictionary dengan menggunakan kelas DictReader
dan DictWriter
.
Lihat juga
- PEP 305 - API File CSV
Python Enhancement Proposal (PEP) yang mengusulkan penambahan ini ke Python.
Modul-Modul¶
Modul csv
memiliki fungsi-fungsi sebagai berikut:
-
csv.
reader
(csvfile, dialect='excel', **fmtparams)¶ Mengembalikan sebuah objek reader yang mengiterasikan baris baris pada csvfile yang diberikan. csvfile dapat berupa segala objek yang mendukung protokol iterator dan mengembalikan string setiap kali metode
__next__()
dipanggil --- objek file dan objek list keduanya cocok digunakan. Jika csvfile merupakan objek file, harus dibuka dengannewline=''
. 1 Sebuah parameter dialek opsional dapat diberikan untuk mendefinisikan sebuah set parameter khusus untuk dialek CSV tertentu. Mungkin merupakan instansi sebuah subkelas dari kelasDialect
atau salah satu string yang dikembalikan oleh fungsilist_dialects()
. Argumen kata kunci opsional fmtparams lainnya dapat diberikan untuk menimpa parameter-parameter pemformatan individu dalam dialek saat ini. Untuk detail lebih jelas mengenai dialek dan parameter format, lihat Dialek dan Parameter Pemformatan.Setiap baris yang dibaca dari file csv dikembalikan sebagai list yang berisi strings. Tidak ada konversi tipe data secara otomatis dilakukan kecuali kalau opsi format
QUOTE_NONNUMERIC
ditentukan (dalam hal ini, bidang tanpa tanda kutip diubah menjadi bertipe floats).Contoh penggunaan singkat:
>>> import csv >>> with open('eggs.csv', newline='') as csvfile: ... spamreader = csv.reader(csvfile, delimiter=' ', quotechar='|') ... for row in spamreader: ... print(', '.join(row)) Spam, Spam, Spam, Spam, Spam, Baked Beans Spam, Lovely Spam, Wonderful Spam
-
csv.
writer
(csvfile, dialect='excel', **fmtparams)¶ Return a writer object responsible for converting the user's data into delimited strings on the given file-like object. csvfile can be any object with a
write()
method. If csvfile is a file object, it should be opened withnewline=''
1. An optional dialect parameter can be given which is used to define a set of parameters specific to a particular CSV dialect. It may be an instance of a subclass of theDialect
class or one of the strings returned by thelist_dialects()
function. The other optional fmtparams keyword arguments can be given to override individual formatting parameters in the current dialect. For full details about the dialect and formatting parameters, see section Dialek dan Parameter Pemformatan. To make it as easy as possible to interface with modules which implement the DB API, the valueNone
is written as the empty string. While this isn't a reversible transformation, it makes it easier to dump SQL NULL data values to CSV files without preprocessing the data returned from acursor.fetch*
call. All other non-string data are stringified withstr()
before being written.Contoh penggunaan singkat:
import csv with open('eggs.csv', 'w', newline='') as csvfile: spamwriter = csv.writer(csvfile, delimiter=' ', quotechar='|', quoting=csv.QUOTE_MINIMAL) spamwriter.writerow(['Spam'] * 5 + ['Baked Beans']) spamwriter.writerow(['Spam', 'Lovely Spam', 'Wonderful Spam'])
-
csv.
register_dialect
(name[, dialect[, **fmtparams]])¶ Associate dialect with name. name must be a string. The dialect can be specified either by passing a sub-class of
Dialect
, or by fmtparams keyword arguments, or both, with keyword arguments overriding parameters of the dialect. For full details about the dialect and formatting parameters, see section Dialek dan Parameter Pemformatan.
-
csv.
unregister_dialect
(name)¶ Delete the dialect associated with name from the dialect registry. An
Error
is raised if name is not a registered dialect name.
-
csv.
get_dialect
(name)¶ Return the dialect associated with name. An
Error
is raised if name is not a registered dialect name. This function returns an immutableDialect
.
-
csv.
list_dialects
()¶ Mengembalikan nama dari semua dialek yang terdaftar.
-
csv.
field_size_limit
([new_limit])¶ Mengembalikan nilai maksimum ukuran field yang diperbolekan saat ini oleh parser. Jika new_limit diberikan, hal tersebut menjadi limit baru.
Modul csv
berisi kelas-kelas dibawah ini:
-
class
csv.
DictReader
(f, fieldnames=None, restkey=None, restval=None, dialect='excel', *args, **kwds)¶ Create an object that operates like a regular reader but maps the information in each row to a
dict
whose keys are given by the optional fieldnames parameter.The fieldnames parameter is a sequence. If fieldnames is omitted, the values in the first row of file f will be used as the fieldnames. Regardless of how the fieldnames are determined, the dictionary preserves their original ordering.
If a row has more fields than fieldnames, the remaining data is put in a list and stored with the fieldname specified by restkey (which defaults to
None
). If a non-blank row has fewer fields than fieldnames, the missing values are filled-in with the value of restval (which defaults toNone
).All other optional or keyword arguments are passed to the underlying
reader
instance.Berubah pada versi 3.6: Baris-baris yang dikembalikan sekarang memiliki tipe
OrderedDict
.Berubah pada versi 3.8: Baris-baris yang dikembalikan sekarang memiliki tipe
dict
.Contoh penggunaan singkat:
>>> import csv >>> with open('names.csv', newline='') as csvfile: ... reader = csv.DictReader(csvfile) ... for row in reader: ... print(row['first_name'], row['last_name']) ... Eric Idle John Cleese >>> print(row) {'first_name': 'John', 'last_name': 'Cleese'}
-
class
csv.
DictWriter
(f, fieldnames, restval='', extrasaction='raise', dialect='excel', *args, **kwds)¶ Create an object which operates like a regular writer but maps dictionaries onto output rows. The fieldnames parameter is a
sequence
of keys that identify the order in which values in the dictionary passed to thewriterow()
method are written to file f. The optional restval parameter specifies the value to be written if the dictionary is missing a key in fieldnames. If the dictionary passed to thewriterow()
method contains a key not found in fieldnames, the optional extrasaction parameter indicates what action to take. If it is set to'raise'
, the default value, aValueError
is raised. If it is set to'ignore'
, extra values in the dictionary are ignored. Any other optional or keyword arguments are passed to the underlyingwriter
instance.Note that unlike the
DictReader
class, the fieldnames parameter of theDictWriter
class is not optional.Contoh penggunaan singkat:
import csv with open('names.csv', 'w', newline='') 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'})
-
class
csv.
Dialect
¶ The
Dialect
class is a container class relied on primarily for its attributes, which are used to define the parameters for a specificreader
orwriter
instance.
-
class
csv.
excel
¶ The
excel
class defines the usual properties of an Excel-generated CSV file. It is registered with the dialect name'excel'
.
-
class
csv.
excel_tab
¶ The
excel_tab
class defines the usual properties of an Excel-generated TAB-delimited file. It is registered with the dialect name'excel-tab'
.
-
class
csv.
unix_dialect
¶ The
unix_dialect
class defines the usual properties of a CSV file generated on UNIX systems, i.e. using'\n'
as line terminator and quoting all fields. It is registered with the dialect name'unix'
.Baru pada versi 3.2.
-
class
csv.
Sniffer
¶ Kelas
Sniffer
digunakan untuk menyimpulkan format sebuah file CSV.Kelas
Sniffer
menyediakan dua metode:
Sebuah contoh untuk penggunaan Sniffer
:
with open('example.csv', newline='') as csvfile:
dialect = csv.Sniffer().sniff(csvfile.read(1024))
csvfile.seek(0)
reader = csv.reader(csvfile, dialect)
# ... process CSV file contents here ...
The csv
module defines the following constants:
-
csv.
QUOTE_MINIMAL
¶ Menginstruksikan objek
writer
untuk hanya mengutip fields yang berisi karakter spesial seperti delimiter, quotechar atau salah satu karakter dalam lineterminator.
-
csv.
QUOTE_NONNUMERIC
¶ Menginstuksikan objek
writer
untuk mengutip semua fields yang tidak memiliki angka.Mengisntruksikan reader untuk mengonversi semua fields yang tidak dikutip menjadi tipe float.
-
csv.
QUOTE_NONE
¶ Instructs
writer
objects to never quote fields. When the current delimiter occurs in output data it is preceded by the current escapechar character. If escapechar is not set, the writer will raiseError
if any characters that require escaping are encountered.Menginstruksikan
reader
untuk tidak melakukan pemrosesan khusus terhadap karakter kutipan
Modul csv
berisi exception dibawah ini:
-
exception
csv.
Error
¶ Raised by any of the functions when an error is detected.
Dialek dan Parameter Pemformatan¶
To make it easier to specify the format of input and output records, specific
formatting parameters are grouped together into dialects. A dialect is a
subclass of the Dialect
class having a set of specific methods and a
single validate()
method. When creating reader
or
writer
objects, the programmer can specify a string or a subclass of
the Dialect
class as the dialect parameter. In addition to, or instead
of, the dialect parameter, the programmer can also specify individual
formatting parameters, which have the same names as the attributes defined below
for the Dialect
class.
Dialek mendukung atribut dibawah ini:
-
Dialect.
delimiter
¶ Sebuah karakter yang digunakan sebagai pemisah fields. Dengan nilai bawaan
','
.
-
Dialect.
doublequote
¶ Controls how instances of quotechar appearing inside a field should themselves be quoted. When
True
, the character is doubled. WhenFalse
, the escapechar is used as a prefix to the quotechar. It defaults toTrue
.On output, if doublequote is
False
and no escapechar is set,Error
is raised if a quotechar is found in a field.
-
Dialect.
escapechar
¶ A one-character string used by the writer to escape the delimiter if quoting is set to
QUOTE_NONE
and the quotechar if doublequote isFalse
. On reading, the escapechar removes any special meaning from the following character. It defaults toNone
, which disables escaping.
-
Dialect.
lineterminator
¶ The string used to terminate lines produced by the
writer
. It defaults to'\r\n'
.Catatan
The
reader
is hard-coded to recognise either'\r'
or'\n'
as end-of-line, and ignores lineterminator. This behavior may change in the future.
-
Dialect.
quotechar
¶ A one-character string used to quote fields containing special characters, such as the delimiter or quotechar, or which contain new-line characters. It defaults to
'"'
.
-
Dialect.
quoting
¶ Controls when quotes should be generated by the writer and recognised by the reader. It can take on any of the
QUOTE_*
constants (see section Modul-Modul) and defaults toQUOTE_MINIMAL
.
Reader Objects¶
Reader objects (DictReader
instances and objects returned by the
reader()
function) have the following public methods:
-
csvreader.
__next__
()¶ Return the next row of the reader's iterable object as a list (if the object was returned from
reader()
) or a dict (if it is aDictReader
instance), parsed according to the current dialect. Usually you should call this asnext(reader)
.
Reader objects have the following public attributes:
-
csvreader.
dialect
¶ A read-only description of the dialect in use by the parser.
-
csvreader.
line_num
¶ The number of lines read from the source iterator. This is not the same as the number of records returned, as records can span multiple lines.
Objek DictReader memiliki atribut publik sebagai berikut:
-
csvreader.
fieldnames
¶ If not passed as a parameter when creating the object, this attribute is initialized upon first access or when the first record is read from the file.
Writer Objects¶
Writer
objects (DictWriter
instances and objects returned by
the writer()
function) have the following public methods. A row must be
an iterable of strings or numbers for Writer
objects and a dictionary
mapping fieldnames to strings or numbers (by passing them through str()
first) for DictWriter
objects. Note that complex numbers are written
out surrounded by parens. This may cause some problems for other programs which
read CSV files (assuming they support complex numbers at all).
-
csvwriter.
writerow
(row)¶ Write the row parameter to the writer's file object, formatted according to the current dialect. Return the return value of the call to the write method of the underlying file object.
Berubah pada versi 3.5: Added support of arbitrary iterables.
-
csvwriter.
writerows
(rows)¶ Write all elements in rows (an iterable of row objects as described above) to the writer's file object, formatted according to the current dialect.
Writer objects have the following public attribute:
-
csvwriter.
dialect
¶ A read-only description of the dialect in use by the writer.
Objek DictWriter memiliki metode publik sebagai berikut:
-
DictWriter.
writeheader
()¶ Write a row with the field names (as specified in the constructor) to the writer's file object, formatted according to the current dialect. Return the return value of the
csvwriter.writerow()
call used internally.Baru pada versi 3.2.
Berubah pada versi 3.8:
writeheader()
now also returns the value returned by thecsvwriter.writerow()
method it uses internally.
Contoh-contoh¶
Contoh paling sederhana dari membaca sebuah file CSV:
import csv
with open('some.csv', newline='') as f:
reader = csv.reader(f)
for row in reader:
print(row)
Membaca file dengan format lain:
import csv
with open('passwd', newline='') as f:
reader = csv.reader(f, delimiter=':', quoting=csv.QUOTE_NONE)
for row in reader:
print(row)
Contoh paling sederhana dari menulis ke sebuah file CSV:
import csv
with open('some.csv', 'w', newline='') as f:
writer = csv.writer(f)
writer.writerows(someiterable)
Karena open()
digunakan untuk membaca file CSV, file secara default akan diterjemahkan menjadi unicode menggunakan default encoding dari sistem (lihat locale.getpreferredencoding()
). Untuk menerjemahkan sebuah file dengan encoding yang berbeda, gunakan argumen encoding
pada open()
:
import csv
with open('some.csv', newline='', encoding='utf-8') as f:
reader = csv.reader(f)
for row in reader:
print(row)
Hal yang sama berlaku ketika menulis sesuatu yang berbeda dengan default encoding dari sistem: tentukan argumen encoding ketika membuka file output.
Mendaftarkan dialek baru:
import csv
csv.register_dialect('unixpwd', delimiter=':', quoting=csv.QUOTE_NONE)
with open('passwd', newline='') as f:
reader = csv.reader(f, 'unixpwd')
A slightly more advanced use of the reader --- catching and reporting errors:
import csv, sys
filename = 'some.csv'
with open(filename, newline='') as f:
reader = csv.reader(f)
try:
for row in reader:
print(row)
except csv.Error as e:
sys.exit('file {}, line {}: {}'.format(filename, reader.line_num, e))
And while the module doesn't directly support parsing strings, it can easily be done:
import csv
for row in csv.reader(['one,two,three']):
print(row)
Catatan kaki
- 1(1,2)
If
newline=''
is not specified, newlines embedded inside quoted fields will not be interpreted correctly, and on platforms that use\r\n
linendings on write an extra\r
will be added. It should always be safe to specifynewline=''
, since the csv module does its own (universal) newline handling.