1:mod:`csv` --- CSV File Reading and Writing 2=========================================== 3 4.. module:: csv 5 :synopsis: Write and read tabular data to and from delimited files. 6 7.. sectionauthor:: Skip Montanaro <skip@pobox.com> 8 9**Source code:** :source:`Lib/csv.py` 10 11.. index:: 12 single: csv 13 pair: data; tabular 14 15-------------- 16 17The so-called CSV (Comma Separated Values) format is the most common import and 18export format for spreadsheets and databases. CSV format was used for many 19years prior to attempts to describe the format in a standardized way in 20:rfc:`4180`. The lack of a well-defined standard means that subtle differences 21often exist in the data produced and consumed by different applications. These 22differences can make it annoying to process CSV files from multiple sources. 23Still, while the delimiters and quoting characters vary, the overall format is 24similar enough that it is possible to write a single module which can 25efficiently manipulate such data, hiding the details of reading and writing the 26data from the programmer. 27 28The :mod:`csv` module implements classes to read and write tabular data in CSV 29format. It allows programmers to say, "write this data in the format preferred 30by Excel," or "read data from this file which was generated by Excel," without 31knowing the precise details of the CSV format used by Excel. Programmers can 32also describe the CSV formats understood by other applications or define their 33own special-purpose CSV formats. 34 35The :mod:`csv` module's :class:`reader` and :class:`writer` objects read and 36write sequences. Programmers can also read and write data in dictionary form 37using the :class:`DictReader` and :class:`DictWriter` classes. 38 39.. seealso:: 40 41 :pep:`305` - CSV File API 42 The Python Enhancement Proposal which proposed this addition to Python. 43 44 45.. _csv-contents: 46 47Module Contents 48--------------- 49 50The :mod:`csv` module defines the following functions: 51 52 53.. index:: 54 single: universal newlines; csv.reader function 55 56.. function:: reader(csvfile, dialect='excel', **fmtparams) 57 58 Return a reader object which will iterate over lines in the given *csvfile*. 59 *csvfile* can be any object which supports the :term:`iterator` protocol and returns a 60 string each time its :meth:`!__next__` method is called --- :term:`file objects 61 <file object>` and list objects are both suitable. If *csvfile* is a file object, 62 it should be opened with ``newline=''``. [1]_ An optional 63 *dialect* parameter can be given which is used to define a set of parameters 64 specific to a particular CSV dialect. It may be an instance of a subclass of 65 the :class:`Dialect` class or one of the strings returned by the 66 :func:`list_dialects` function. The other optional *fmtparams* keyword arguments 67 can be given to override individual formatting parameters in the current 68 dialect. For full details about the dialect and formatting parameters, see 69 section :ref:`csv-fmt-params`. 70 71 Each row read from the csv file is returned as a list of strings. No 72 automatic data type conversion is performed unless the ``QUOTE_NONNUMERIC`` format 73 option is specified (in which case unquoted fields are transformed into floats). 74 75 A short usage example:: 76 77 >>> import csv 78 >>> with open('eggs.csv', newline='') as csvfile: 79 ... spamreader = csv.reader(csvfile, delimiter=' ', quotechar='|') 80 ... for row in spamreader: 81 ... print(', '.join(row)) 82 Spam, Spam, Spam, Spam, Spam, Baked Beans 83 Spam, Lovely Spam, Wonderful Spam 84 85 86.. function:: writer(csvfile, dialect='excel', **fmtparams) 87 88 Return a writer object responsible for converting the user's data into delimited 89 strings on the given file-like object. *csvfile* can be any object with a 90 :func:`write` method. If *csvfile* is a file object, it should be opened with 91 ``newline=''`` [1]_. An optional *dialect* 92 parameter can be given which is used to define a set of parameters specific to a 93 particular CSV dialect. It may be an instance of a subclass of the 94 :class:`Dialect` class or one of the strings returned by the 95 :func:`list_dialects` function. The other optional *fmtparams* keyword arguments 96 can be given to override individual formatting parameters in the current 97 dialect. For full details about the dialect and formatting parameters, see 98 section :ref:`csv-fmt-params`. To make it 99 as easy as possible to interface with modules which implement the DB API, the 100 value :const:`None` is written as the empty string. While this isn't a 101 reversible transformation, it makes it easier to dump SQL NULL data values to 102 CSV files without preprocessing the data returned from a ``cursor.fetch*`` call. 103 All other non-string data are stringified with :func:`str` before being written. 104 105 A short usage example:: 106 107 import csv 108 with open('eggs.csv', 'w', newline='') as csvfile: 109 spamwriter = csv.writer(csvfile, delimiter=' ', 110 quotechar='|', quoting=csv.QUOTE_MINIMAL) 111 spamwriter.writerow(['Spam'] * 5 + ['Baked Beans']) 112 spamwriter.writerow(['Spam', 'Lovely Spam', 'Wonderful Spam']) 113 114 115.. function:: register_dialect(name[, dialect[, **fmtparams]]) 116 117 Associate *dialect* with *name*. *name* must be a string. The 118 dialect can be specified either by passing a sub-class of :class:`Dialect`, or 119 by *fmtparams* keyword arguments, or both, with keyword arguments overriding 120 parameters of the dialect. For full details about the dialect and formatting 121 parameters, see section :ref:`csv-fmt-params`. 122 123 124.. function:: unregister_dialect(name) 125 126 Delete the dialect associated with *name* from the dialect registry. An 127 :exc:`Error` is raised if *name* is not a registered dialect name. 128 129 130.. function:: get_dialect(name) 131 132 Return the dialect associated with *name*. An :exc:`Error` is raised if 133 *name* is not a registered dialect name. This function returns an immutable 134 :class:`Dialect`. 135 136.. function:: list_dialects() 137 138 Return the names of all registered dialects. 139 140 141.. function:: field_size_limit([new_limit]) 142 143 Returns the current maximum field size allowed by the parser. If *new_limit* is 144 given, this becomes the new limit. 145 146 147The :mod:`csv` module defines the following classes: 148 149.. class:: DictReader(f, fieldnames=None, restkey=None, restval=None, \ 150 dialect='excel', *args, **kwds) 151 152 Create an object that operates like a regular reader but maps the 153 information in each row to an :mod:`OrderedDict <collections.OrderedDict>` 154 whose keys are given by the optional *fieldnames* parameter. 155 156 The *fieldnames* parameter is a :term:`sequence`. If *fieldnames* is 157 omitted, the values in the first row of file *f* will be used as the 158 fieldnames. Regardless of how the fieldnames are determined, the ordered 159 dictionary preserves their original ordering. 160 161 If a row has more fields than fieldnames, the remaining data is put in a 162 list and stored with the fieldname specified by *restkey* (which defaults 163 to ``None``). If a non-blank row has fewer fields than fieldnames, the 164 missing values are filled-in with ``None``. 165 166 All other optional or keyword arguments are passed to the underlying 167 :class:`reader` instance. 168 169 .. versionchanged:: 3.6 170 Returned rows are now of type :class:`OrderedDict`. 171 172 A short usage example:: 173 174 >>> import csv 175 >>> with open('names.csv', newline='') as csvfile: 176 ... reader = csv.DictReader(csvfile) 177 ... for row in reader: 178 ... print(row['first_name'], row['last_name']) 179 ... 180 Eric Idle 181 John Cleese 182 183 >>> print(row) 184 OrderedDict([('first_name', 'John'), ('last_name', 'Cleese')]) 185 186 187.. class:: DictWriter(f, fieldnames, restval='', extrasaction='raise', \ 188 dialect='excel', *args, **kwds) 189 190 Create an object which operates like a regular writer but maps dictionaries 191 onto output rows. The *fieldnames* parameter is a :mod:`sequence 192 <collections.abc>` of keys that identify the order in which values in the 193 dictionary passed to the :meth:`writerow` method are written to file 194 *f*. The optional *restval* parameter specifies the value to be 195 written if the dictionary is missing a key in *fieldnames*. If the 196 dictionary passed to the :meth:`writerow` method contains a key not found in 197 *fieldnames*, the optional *extrasaction* parameter indicates what action to 198 take. 199 If it is set to ``'raise'``, the default value, a :exc:`ValueError` 200 is raised. 201 If it is set to ``'ignore'``, extra values in the dictionary are ignored. 202 Any other optional or keyword arguments are passed to the underlying 203 :class:`writer` instance. 204 205 Note that unlike the :class:`DictReader` class, the *fieldnames* parameter 206 of the :class:`DictWriter` class is not optional. 207 208 A short usage example:: 209 210 import csv 211 212 with open('names.csv', 'w', newline='') as csvfile: 213 fieldnames = ['first_name', 'last_name'] 214 writer = csv.DictWriter(csvfile, fieldnames=fieldnames) 215 216 writer.writeheader() 217 writer.writerow({'first_name': 'Baked', 'last_name': 'Beans'}) 218 writer.writerow({'first_name': 'Lovely', 'last_name': 'Spam'}) 219 writer.writerow({'first_name': 'Wonderful', 'last_name': 'Spam'}) 220 221 222.. class:: Dialect 223 224 The :class:`Dialect` class is a container class relied on primarily for its 225 attributes, which are used to define the parameters for a specific 226 :class:`reader` or :class:`writer` instance. 227 228 229.. class:: excel() 230 231 The :class:`excel` class defines the usual properties of an Excel-generated CSV 232 file. It is registered with the dialect name ``'excel'``. 233 234 235.. class:: excel_tab() 236 237 The :class:`excel_tab` class defines the usual properties of an Excel-generated 238 TAB-delimited file. It is registered with the dialect name ``'excel-tab'``. 239 240 241.. class:: unix_dialect() 242 243 The :class:`unix_dialect` class defines the usual properties of a CSV file 244 generated on UNIX systems, i.e. using ``'\n'`` as line terminator and quoting 245 all fields. It is registered with the dialect name ``'unix'``. 246 247 .. versionadded:: 3.2 248 249 250.. class:: Sniffer() 251 252 The :class:`Sniffer` class is used to deduce the format of a CSV file. 253 254 The :class:`Sniffer` class provides two methods: 255 256 .. method:: sniff(sample, delimiters=None) 257 258 Analyze the given *sample* and return a :class:`Dialect` subclass 259 reflecting the parameters found. If the optional *delimiters* parameter 260 is given, it is interpreted as a string containing possible valid 261 delimiter characters. 262 263 264 .. method:: has_header(sample) 265 266 Analyze the sample text (presumed to be in CSV format) and return 267 :const:`True` if the first row appears to be a series of column headers. 268 269An example for :class:`Sniffer` use:: 270 271 with open('example.csv', newline='') as csvfile: 272 dialect = csv.Sniffer().sniff(csvfile.read(1024)) 273 csvfile.seek(0) 274 reader = csv.reader(csvfile, dialect) 275 # ... process CSV file contents here ... 276 277 278The :mod:`csv` module defines the following constants: 279 280.. data:: QUOTE_ALL 281 282 Instructs :class:`writer` objects to quote all fields. 283 284 285.. data:: QUOTE_MINIMAL 286 287 Instructs :class:`writer` objects to only quote those fields which contain 288 special characters such as *delimiter*, *quotechar* or any of the characters in 289 *lineterminator*. 290 291 292.. data:: QUOTE_NONNUMERIC 293 294 Instructs :class:`writer` objects to quote all non-numeric fields. 295 296 Instructs the reader to convert all non-quoted fields to type *float*. 297 298 299.. data:: QUOTE_NONE 300 301 Instructs :class:`writer` objects to never quote fields. When the current 302 *delimiter* occurs in output data it is preceded by the current *escapechar* 303 character. If *escapechar* is not set, the writer will raise :exc:`Error` if 304 any characters that require escaping are encountered. 305 306 Instructs :class:`reader` to perform no special processing of quote characters. 307 308The :mod:`csv` module defines the following exception: 309 310 311.. exception:: Error 312 313 Raised by any of the functions when an error is detected. 314 315.. _csv-fmt-params: 316 317Dialects and Formatting Parameters 318---------------------------------- 319 320To make it easier to specify the format of input and output records, specific 321formatting parameters are grouped together into dialects. A dialect is a 322subclass of the :class:`Dialect` class having a set of specific methods and a 323single :meth:`validate` method. When creating :class:`reader` or 324:class:`writer` objects, the programmer can specify a string or a subclass of 325the :class:`Dialect` class as the dialect parameter. In addition to, or instead 326of, the *dialect* parameter, the programmer can also specify individual 327formatting parameters, which have the same names as the attributes defined below 328for the :class:`Dialect` class. 329 330Dialects support the following attributes: 331 332 333.. attribute:: Dialect.delimiter 334 335 A one-character string used to separate fields. It defaults to ``','``. 336 337 338.. attribute:: Dialect.doublequote 339 340 Controls how instances of *quotechar* appearing inside a field should 341 themselves be quoted. When :const:`True`, the character is doubled. When 342 :const:`False`, the *escapechar* is used as a prefix to the *quotechar*. It 343 defaults to :const:`True`. 344 345 On output, if *doublequote* is :const:`False` and no *escapechar* is set, 346 :exc:`Error` is raised if a *quotechar* is found in a field. 347 348 349.. attribute:: Dialect.escapechar 350 351 A one-character string used by the writer to escape the *delimiter* if *quoting* 352 is set to :const:`QUOTE_NONE` and the *quotechar* if *doublequote* is 353 :const:`False`. On reading, the *escapechar* removes any special meaning from 354 the following character. It defaults to :const:`None`, which disables escaping. 355 356 357.. attribute:: Dialect.lineterminator 358 359 The string used to terminate lines produced by the :class:`writer`. It defaults 360 to ``'\r\n'``. 361 362 .. note:: 363 364 The :class:`reader` is hard-coded to recognise either ``'\r'`` or ``'\n'`` as 365 end-of-line, and ignores *lineterminator*. This behavior may change in the 366 future. 367 368 369.. attribute:: Dialect.quotechar 370 371 A one-character string used to quote fields containing special characters, such 372 as the *delimiter* or *quotechar*, or which contain new-line characters. It 373 defaults to ``'"'``. 374 375 376.. attribute:: Dialect.quoting 377 378 Controls when quotes should be generated by the writer and recognised by the 379 reader. It can take on any of the :const:`QUOTE_\*` constants (see section 380 :ref:`csv-contents`) and defaults to :const:`QUOTE_MINIMAL`. 381 382 383.. attribute:: Dialect.skipinitialspace 384 385 When :const:`True`, whitespace immediately following the *delimiter* is ignored. 386 The default is :const:`False`. 387 388 389.. attribute:: Dialect.strict 390 391 When ``True``, raise exception :exc:`Error` on bad CSV input. 392 The default is ``False``. 393 394Reader Objects 395-------------- 396 397Reader objects (:class:`DictReader` instances and objects returned by the 398:func:`reader` function) have the following public methods: 399 400.. method:: csvreader.__next__() 401 402 Return the next row of the reader's iterable object as a list (if the object 403 was returned from :func:`reader`) or a dict (if it is a :class:`DictReader` 404 instance), parsed according to the current dialect. Usually you should call 405 this as ``next(reader)``. 406 407 408Reader objects have the following public attributes: 409 410.. attribute:: csvreader.dialect 411 412 A read-only description of the dialect in use by the parser. 413 414 415.. attribute:: csvreader.line_num 416 417 The number of lines read from the source iterator. This is not the same as the 418 number of records returned, as records can span multiple lines. 419 420 421DictReader objects have the following public attribute: 422 423.. attribute:: csvreader.fieldnames 424 425 If not passed as a parameter when creating the object, this attribute is 426 initialized upon first access or when the first record is read from the 427 file. 428 429 430 431Writer Objects 432-------------- 433 434:class:`Writer` objects (:class:`DictWriter` instances and objects returned by 435the :func:`writer` function) have the following public methods. A *row* must be 436an iterable of strings or numbers for :class:`Writer` objects and a dictionary 437mapping fieldnames to strings or numbers (by passing them through :func:`str` 438first) for :class:`DictWriter` objects. Note that complex numbers are written 439out surrounded by parens. This may cause some problems for other programs which 440read CSV files (assuming they support complex numbers at all). 441 442 443.. method:: csvwriter.writerow(row) 444 445 Write the *row* parameter to the writer's file object, formatted according to 446 the current dialect. 447 448 .. versionchanged:: 3.5 449 Added support of arbitrary iterables. 450 451.. method:: csvwriter.writerows(rows) 452 453 Write all elements in *rows* (an iterable of *row* objects as described 454 above) to the writer's file object, formatted according to the current 455 dialect. 456 457Writer objects have the following public attribute: 458 459 460.. attribute:: csvwriter.dialect 461 462 A read-only description of the dialect in use by the writer. 463 464 465DictWriter objects have the following public method: 466 467 468.. method:: DictWriter.writeheader() 469 470 Write a row with the field names (as specified in the constructor). 471 472 .. versionadded:: 3.2 473 474 475.. _csv-examples: 476 477Examples 478-------- 479 480The simplest example of reading a CSV file:: 481 482 import csv 483 with open('some.csv', newline='') as f: 484 reader = csv.reader(f) 485 for row in reader: 486 print(row) 487 488Reading a file with an alternate format:: 489 490 import csv 491 with open('passwd', newline='') as f: 492 reader = csv.reader(f, delimiter=':', quoting=csv.QUOTE_NONE) 493 for row in reader: 494 print(row) 495 496The corresponding simplest possible writing example is:: 497 498 import csv 499 with open('some.csv', 'w', newline='') as f: 500 writer = csv.writer(f) 501 writer.writerows(someiterable) 502 503Since :func:`open` is used to open a CSV file for reading, the file 504will by default be decoded into unicode using the system default 505encoding (see :func:`locale.getpreferredencoding`). To decode a file 506using a different encoding, use the ``encoding`` argument of open:: 507 508 import csv 509 with open('some.csv', newline='', encoding='utf-8') as f: 510 reader = csv.reader(f) 511 for row in reader: 512 print(row) 513 514The same applies to writing in something other than the system default 515encoding: specify the encoding argument when opening the output file. 516 517Registering a new dialect:: 518 519 import csv 520 csv.register_dialect('unixpwd', delimiter=':', quoting=csv.QUOTE_NONE) 521 with open('passwd', newline='') as f: 522 reader = csv.reader(f, 'unixpwd') 523 524A slightly more advanced use of the reader --- catching and reporting errors:: 525 526 import csv, sys 527 filename = 'some.csv' 528 with open(filename, newline='') as f: 529 reader = csv.reader(f) 530 try: 531 for row in reader: 532 print(row) 533 except csv.Error as e: 534 sys.exit('file {}, line {}: {}'.format(filename, reader.line_num, e)) 535 536And while the module doesn't directly support parsing strings, it can easily be 537done:: 538 539 import csv 540 for row in csv.reader(['one,two,three']): 541 print(row) 542 543 544.. rubric:: Footnotes 545 546.. [1] If ``newline=''`` is not specified, newlines embedded inside quoted fields 547 will not be interpreted correctly, and on platforms that use ``\r\n`` linendings 548 on write an extra ``\r`` will be added. It should always be safe to specify 549 ``newline=''``, since the csv module does its own 550 (:term:`universal <universal newlines>`) newline handling. 551