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1\section{\module{csv} --- CSV File Reading and Writing}
2
3\declaremodule{standard}{csv}
4\modulesynopsis{Write and read tabular data to and from delimited files.}
5\sectionauthor{Skip Montanaro}{skip@pobox.com}
6
7\versionadded{2.3}
8\index{csv}
9\indexii{data}{tabular}
10
11The so-called CSV (Comma Separated Values) format is the most common import
12and export format for spreadsheets and databases. There is no ``CSV
13standard'', so the format is operationally defined by the many applications
14which read and write it. The lack of a standard means that subtle
15differences often exist in the data produced and consumed by different
16applications. These differences can make it annoying to process CSV files
17from multiple sources. Still, while the delimiters and quoting characters
18vary, the overall format is similar enough that it is possible to write a
19single module which can efficiently manipulate such data, hiding the details
20of reading and writing the data from the programmer.
21
22The \module{csv} module implements classes to read and write tabular data in
23CSV format. It allows programmers to say, ``write this data in the format
24preferred by Excel,'' or ``read data from this file which was generated by
25Excel,'' without knowing the precise details of the CSV format used by
26Excel. Programmers can also describe the CSV formats understood by other
27applications or define their own special-purpose CSV formats.
28
29The \module{csv} module's \class{reader} and \class{writer} objects read and
30write sequences. Programmers can also read and write data in dictionary
31form using the \class{DictReader} and \class{DictWriter} classes.
32
33\begin{notice}
34 This version of the \module{csv} module doesn't support Unicode
35 input. Also, there are currently some issues regarding \ASCII{} NUL
36 characters. Accordingly, all input should be UTF-8 or printable
37 \ASCII{} to be safe; see the examples in section~\ref{csv-examples}.
38 These restrictions will be removed in the future.
39\end{notice}
40
41\begin{seealso}
42% \seemodule{array}{Arrays of uniformly types numeric values.}
43 \seepep{305}{CSV File API}
44 {The Python Enhancement Proposal which proposed this addition
45 to Python.}
46\end{seealso}
47
48
49\subsection{Module Contents \label{csv-contents}}
50
51The \module{csv} module defines the following functions:
52
53\begin{funcdesc}{reader}{csvfile\optional{,
54 dialect=\code{'excel'}}\optional{, fmtparam}}
55Return a reader object which will iterate over lines in the given
56{}\var{csvfile}. \var{csvfile} can be any object which supports the
57iterator protocol and returns a string each time its \method{next}
58method is called --- file objects and list objects are both suitable.
59If \var{csvfile} is a file object, it must be opened with
60the 'b' flag on platforms where that makes a difference. An optional
61{}\var{dialect} parameter can be given
62which is used to define a set of parameters specific to a particular CSV
63dialect. It may be an instance of a subclass of the \class{Dialect}
64class or one of the strings returned by the \function{list_dialects}
65function. The other optional {}\var{fmtparam} keyword arguments can be
66given to override individual formatting parameters in the current
67dialect. For more information about the dialect and formatting
68parameters, see section~\ref{csv-fmt-params}, ``Dialects and Formatting
69Parameters'' for details of these parameters.
70
71All data read are returned as strings. No automatic data type
72conversion is performed.
73
74\versionchanged[
75The parser is now stricter with respect to multi-line quoted
76fields. Previously, if a line ended within a quoted field without a
77terminating newline character, a newline would be inserted into the
78returned field. This behavior caused problems when reading files
79which contained carriage return characters within fields. The
80behavior was changed to return the field without inserting newlines. As
81a consequence, if newlines embedded within fields are important, the
82input should be split into lines in a manner which preserves the newline
83characters]{2.5}
84
85\end{funcdesc}
86
87\begin{funcdesc}{writer}{csvfile\optional{,
88 dialect=\code{'excel'}}\optional{, fmtparam}}
89Return a writer object responsible for converting the user's data into
90delimited strings on the given file-like object. \var{csvfile} can be any
91object with a \function{write} method. If \var{csvfile} is a file object,
92it must be opened with the 'b' flag on platforms where that makes a
93difference. An optional
94{}\var{dialect} parameter can be given which is used to define a set of
95parameters specific to a particular CSV dialect. It may be an instance
96of a subclass of the \class{Dialect} class or one of the strings
97returned by the \function{list_dialects} function. The other optional
98{}\var{fmtparam} keyword arguments can be given to override individual
99formatting parameters in the current dialect. For more information
100about the dialect and formatting parameters, see
101section~\ref{csv-fmt-params}, ``Dialects and Formatting Parameters'' for
102details of these parameters. To make it as easy as possible to
103interface with modules which implement the DB API, the value
104\constant{None} is written as the empty string. While this isn't a
105reversible transformation, it makes it easier to dump SQL NULL data values
106to CSV files without preprocessing the data returned from a
107\code{cursor.fetch*()} call. All other non-string data are stringified
108with \function{str()} before being written.
109\end{funcdesc}
110
111\begin{funcdesc}{register_dialect}{name\optional{, dialect}\optional{, fmtparam}}
112Associate \var{dialect} with \var{name}. \var{name} must be a string
113or Unicode object. The dialect can be specified either by passing a
114sub-class of \class{Dialect}, or by \var{fmtparam} keyword arguments,
115or both, with keyword arguments overriding parameters of the dialect.
116For more information about the dialect and formatting parameters, see
117section~\ref{csv-fmt-params}, ``Dialects and Formatting Parameters''
118for details of these parameters.
119\end{funcdesc}
120
121\begin{funcdesc}{unregister_dialect}{name}
122Delete the dialect associated with \var{name} from the dialect registry. An
123\exception{Error} is raised if \var{name} is not a registered dialect
124name.
125\end{funcdesc}
126
127\begin{funcdesc}{get_dialect}{name}
128Return the dialect associated with \var{name}. An \exception{Error} is
129raised if \var{name} is not a registered dialect name.
130\end{funcdesc}
131
132\begin{funcdesc}{list_dialects}{}
133Return the names of all registered dialects.
134\end{funcdesc}
135
136\begin{funcdesc}{field_size_limit}{\optional{new_limit}}
137 Returns the current maximum field size allowed by the parser. If
138 \var{new_limit} is given, this becomes the new limit.
139 \versionadded{2.5}
140\end{funcdesc}
141
142
143The \module{csv} module defines the following classes:
144
145\begin{classdesc}{DictReader}{csvfile\optional{,
146 fieldnames=\constant{None},\optional{,
147 restkey=\constant{None}\optional{,
148 restval=\constant{None}\optional{,
149 dialect=\code{'excel'}\optional{,
150 *args, **kwds}}}}}}
151Create an object which operates like a regular reader but maps the
152information read into a dict whose keys are given by the optional
153{} \var{fieldnames}
154parameter. If the \var{fieldnames} parameter is omitted, the values in
155the first row of the \var{csvfile} will be used as the fieldnames.
156If the row read has fewer fields than the fieldnames sequence,
157the value of \var{restval} will be used as the default value. If the row
158read has more fields than the fieldnames sequence, the remaining data is
159added as a sequence keyed by the value of \var{restkey}. If the row read
160has fewer fields than the fieldnames sequence, the remaining keys take the
161value of the optional \var{restval} parameter. Any other optional or
162keyword arguments are passed to the underlying \class{reader} instance.
163\end{classdesc}
164
165
166\begin{classdesc}{DictWriter}{csvfile, fieldnames\optional{,
167 restval=""\optional{,
168 extrasaction=\code{'raise'}\optional{,
169 dialect=\code{'excel'}\optional{,
170 *args, **kwds}}}}}
171Create an object which operates like a regular writer but maps dictionaries
172onto output rows. The \var{fieldnames} parameter identifies the order in
173which values in the dictionary passed to the \method{writerow()} method are
174written to the \var{csvfile}. The optional \var{restval} parameter
175specifies the value to be written if the dictionary is missing a key in
176\var{fieldnames}. If the dictionary passed to the \method{writerow()}
177method contains a key not found in \var{fieldnames}, the optional
178\var{extrasaction} parameter indicates what action to take. If it is set
179to \code{'raise'} a \exception{ValueError} is raised. If it is set to
180\code{'ignore'}, extra values in the dictionary are ignored. Any other
181optional or keyword arguments are passed to the underlying \class{writer}
182instance.
183
184Note that unlike the \class{DictReader} class, the \var{fieldnames}
185parameter of the \class{DictWriter} is not optional. Since Python's
186\class{dict} objects are not ordered, there is not enough information
187available to deduce the order in which the row should be written to the
188\var{csvfile}.
189
190\end{classdesc}
191
192\begin{classdesc*}{Dialect}{}
193The \class{Dialect} class is a container class relied on primarily for its
194attributes, which are used to define the parameters for a specific
195\class{reader} or \class{writer} instance.
196\end{classdesc*}
197
198\begin{classdesc}{excel}{}
199The \class{excel} class defines the usual properties of an Excel-generated
200CSV file.
201\end{classdesc}
202
203\begin{classdesc}{excel_tab}{}
204The \class{excel_tab} class defines the usual properties of an
205Excel-generated TAB-delimited file.
206\end{classdesc}
207
208\begin{classdesc}{Sniffer}{}
209The \class{Sniffer} class is used to deduce the format of a CSV file.
210\end{classdesc}
211
212The \class{Sniffer} class provides two methods:
213
214\begin{methoddesc}{sniff}{sample\optional{,delimiters=None}}
215Analyze the given \var{sample} and return a \class{Dialect} subclass
216reflecting the parameters found. If the optional \var{delimiters} parameter
217is given, it is interpreted as a string containing possible valid delimiter
218characters.
219\end{methoddesc}
220
221\begin{methoddesc}{has_header}{sample}
222Analyze the sample text (presumed to be in CSV format) and return
223\constant{True} if the first row appears to be a series of column
224headers.
225\end{methoddesc}
226
227
228The \module{csv} module defines the following constants:
229
230\begin{datadesc}{QUOTE_ALL}
231Instructs \class{writer} objects to quote all fields.
232\end{datadesc}
233
234\begin{datadesc}{QUOTE_MINIMAL}
235Instructs \class{writer} objects to only quote those fields which contain
236special characters such as \var{delimiter}, \var{quotechar} or any of the
237characters in \var{lineterminator}.
238\end{datadesc}
239
240\begin{datadesc}{QUOTE_NONNUMERIC}
241Instructs \class{writer} objects to quote all non-numeric
242fields.
243
244Instructs the reader to convert all non-quoted fields to type \var{float}.
245\end{datadesc}
246
247\begin{datadesc}{QUOTE_NONE}
248Instructs \class{writer} objects to never quote fields. When the current
249\var{delimiter} occurs in output data it is preceded by the current
250\var{escapechar} character. If \var{escapechar} is not set, the writer
251will raise \exception{Error} if any characters that require escaping
252are encountered.
253
254Instructs \class{reader} to perform no special processing of quote characters.
255\end{datadesc}
256
257
258The \module{csv} module defines the following exception:
259
260\begin{excdesc}{Error}
261Raised by any of the functions when an error is detected.
262\end{excdesc}
263
264
265\subsection{Dialects and Formatting Parameters\label{csv-fmt-params}}
266
267To make it easier to specify the format of input and output records,
268specific formatting parameters are grouped together into dialects. A
269dialect is a subclass of the \class{Dialect} class having a set of specific
270methods and a single \method{validate()} method. When creating \class{reader}
271or \class{writer} objects, the programmer can specify a string or a subclass
272of the \class{Dialect} class as the dialect parameter. In addition to, or
273instead of, the \var{dialect} parameter, the programmer can also specify
274individual formatting parameters, which have the same names as the
275attributes defined below for the \class{Dialect} class.
276
277Dialects support the following attributes:
278
279\begin{memberdesc}[Dialect]{delimiter}
280A one-character string used to separate fields. It defaults to \code{','}.
281\end{memberdesc}
282
283\begin{memberdesc}[Dialect]{doublequote}
284Controls how instances of \var{quotechar} appearing inside a field should
285be themselves be quoted. When \constant{True}, the character is doubled.
286When \constant{False}, the \var{escapechar} is used as a prefix to the
287\var{quotechar}. It defaults to \constant{True}.
288
289On output, if \var{doublequote} is \constant{False} and no
290\var{escapechar} is set, \exception{Error} is raised if a \var{quotechar}
291is found in a field.
292\end{memberdesc}
293
294\begin{memberdesc}[Dialect]{escapechar}
295A one-character string used by the writer to escape the \var{delimiter} if
296\var{quoting} is set to \constant{QUOTE_NONE} and the \var{quotechar}
297if \var{doublequote} is \constant{False}. On reading, the \var{escapechar}
298removes any special meaning from the following character. It defaults
299to \constant{None}, which disables escaping.
300\end{memberdesc}
301
302\begin{memberdesc}[Dialect]{lineterminator}
303The string used to terminate lines produced by the \class{writer}.
304It defaults to \code{'\e r\e n'}.
305
306\note{The \class{reader} is hard-coded to recognise either \code{'\e r'}
307or \code{'\e n'} as end-of-line, and ignores \var{lineterminator}. This
308behavior may change in the future.}
309\end{memberdesc}
310
311\begin{memberdesc}[Dialect]{quotechar}
312A one-character string used to quote fields containing special characters,
313such as the \var{delimiter} or \var{quotechar}, or which contain new-line
314characters. It defaults to \code{'"'}.
315\end{memberdesc}
316
317\begin{memberdesc}[Dialect]{quoting}
318Controls when quotes should be generated by the writer and recognised
319by the reader. It can take on any of the \constant{QUOTE_*} constants
320(see section~\ref{csv-contents}) and defaults to \constant{QUOTE_MINIMAL}.
321\end{memberdesc}
322
323\begin{memberdesc}[Dialect]{skipinitialspace}
324When \constant{True}, whitespace immediately following the \var{delimiter}
325is ignored. The default is \constant{False}.
326\end{memberdesc}
327
328
329\subsection{Reader Objects}
330
331Reader objects (\class{DictReader} instances and objects returned by
332the \function{reader()} function) have the following public methods:
333
334\begin{methoddesc}[csv reader]{next}{}
335Return the next row of the reader's iterable object as a list, parsed
336according to the current dialect.
337\end{methoddesc}
338
339Reader objects have the following public attributes:
340
341\begin{memberdesc}[csv reader]{dialect}
342A read-only description of the dialect in use by the parser.
343\end{memberdesc}
344
345\begin{memberdesc}[csv reader]{line_num}
346 The number of lines read from the source iterator. This is not the same
347 as the number of records returned, as records can span multiple lines.
348\end{memberdesc}
349
350
351\subsection{Writer Objects}
352
353\class{Writer} objects (\class{DictWriter} instances and objects returned by
354the \function{writer()} function) have the following public methods. A
355{}\var{row} must be a sequence of strings or numbers for \class{Writer}
356objects and a dictionary mapping fieldnames to strings or numbers (by
357passing them through \function{str()} first) for {}\class{DictWriter}
358objects. Note that complex numbers are written out surrounded by parens.
359This may cause some problems for other programs which read CSV files
360(assuming they support complex numbers at all).
361
362\begin{methoddesc}[csv writer]{writerow}{row}
363Write the \var{row} parameter to the writer's file object, formatted
364according to the current dialect.
365\end{methoddesc}
366
367\begin{methoddesc}[csv writer]{writerows}{rows}
368Write all the \var{rows} parameters (a list of \var{row} objects as
369described above) to the writer's file object, formatted
370according to the current dialect.
371\end{methoddesc}
372
373Writer objects have the following public attribute:
374
375\begin{memberdesc}[csv writer]{dialect}
376A read-only description of the dialect in use by the writer.
377\end{memberdesc}
378
379
380
381\subsection{Examples\label{csv-examples}}
382
383The simplest example of reading a CSV file:
384
385\begin{verbatim}
386import csv
387reader = csv.reader(open("some.csv", "rb"))
388for row in reader:
389 print row
390\end{verbatim}
391
392Reading a file with an alternate format:
393
394\begin{verbatim}
395import csv
396reader = csv.reader(open("passwd", "rb"), delimiter=':', quoting=csv.QUOTE_NONE)
397for row in reader:
398 print row
399\end{verbatim}
400
401The corresponding simplest possible writing example is:
402
403\begin{verbatim}
404import csv
405writer = csv.writer(open("some.csv", "wb"))
406writer.writerows(someiterable)
407\end{verbatim}
408
409Registering a new dialect:
410
411\begin{verbatim}
412import csv
413
414csv.register_dialect('unixpwd', delimiter=':', quoting=csv.QUOTE_NONE)
415
416reader = csv.reader(open("passwd", "rb"), 'unixpwd')
417\end{verbatim}
418
419A slightly more advanced use of the reader --- catching and reporting errors:
420
421\begin{verbatim}
422import csv, sys
423filename = "some.csv"
424reader = csv.reader(open(filename, "rb"))
425try:
426 for row in reader:
427 print row
428except csv.Error, e:
429 sys.exit('file %s, line %d: %s' % (filename, reader.line_num, e))
430\end{verbatim}
431
432And while the module doesn't directly support parsing strings, it can
433easily be done:
434
435\begin{verbatim}
436import csv
437for row in csv.reader(['one,two,three']):
438 print row
439\end{verbatim}
440
441The \module{csv} module doesn't directly support reading and writing
442Unicode, but it is 8-bit-clean save for some problems with \ASCII{} NUL
443characters. So you can write functions or classes that handle the
444encoding and decoding for you as long as you avoid encodings like
445UTF-16 that use NULs. UTF-8 is recommended.
446
447\function{unicode_csv_reader} below is a generator that wraps
448\class{csv.reader} to handle Unicode CSV data (a list of Unicode
449strings). \function{utf_8_encoder} is a generator that encodes the
450Unicode strings as UTF-8, one string (or row) at a time. The encoded
451strings are parsed by the CSV reader, and
452\function{unicode_csv_reader} decodes the UTF-8-encoded cells back
453into Unicode:
454
455\begin{verbatim}
456import csv
457
458def unicode_csv_reader(unicode_csv_data, dialect=csv.excel, **kwargs):
459 # csv.py doesn't do Unicode; encode temporarily as UTF-8:
460 csv_reader = csv.reader(utf_8_encoder(unicode_csv_data),
461 dialect=dialect, **kwargs)
462 for row in csv_reader:
463 # decode UTF-8 back to Unicode, cell by cell:
464 yield [unicode(cell, 'utf-8') for cell in row]
465
466def utf_8_encoder(unicode_csv_data):
467 for line in unicode_csv_data:
468 yield line.encode('utf-8')
469\end{verbatim}
470
471For all other encodings the following \class{UnicodeReader} and
472\class{UnicodeWriter} classes can be used. They take an additional
473\var{encoding} parameter in their constructor and make sure that the data
474passes the real reader or writer encoded as UTF-8:
475
476\begin{verbatim}
477import csv, codecs, cStringIO
478
479class UTF8Recoder:
480 """
481 Iterator that reads an encoded stream and reencodes the input to UTF-8
482 """
483 def __init__(self, f, encoding):
484 self.reader = codecs.getreader(encoding)(f)
485
486 def __iter__(self):
487 return self
488
489 def next(self):
490 return self.reader.next().encode("utf-8")
491
492class UnicodeReader:
493 """
494 A CSV reader which will iterate over lines in the CSV file "f",
495 which is encoded in the given encoding.
496 """
497
498 def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds):
499 f = UTF8Recoder(f, encoding)
500 self.reader = csv.reader(f, dialect=dialect, **kwds)
501
502 def next(self):
503 row = self.reader.next()
504 return [unicode(s, "utf-8") for s in row]
505
506 def __iter__(self):
507 return self
508
509class UnicodeWriter:
510 """
511 A CSV writer which will write rows to CSV file "f",
512 which is encoded in the given encoding.
513 """
514
515 def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds):
516 # Redirect output to a queue
517 self.queue = cStringIO.StringIO()
518 self.writer = csv.writer(self.queue, dialect=dialect, **kwds)
519 self.stream = f
520 self.encoder = codecs.getincrementalencoder(encoding)()
521
522 def writerow(self, row):
523 self.writer.writerow([s.encode("utf-8") for s in row])
524 # Fetch UTF-8 output from the queue ...
525 data = self.queue.getvalue()
526 data = data.decode("utf-8")
527 # ... and reencode it into the target encoding
528 data = self.encoder.encode(data)
529 # write to the target stream
530 self.stream.write(data)
531 # empty queue
532 self.queue.truncate(0)
533
534 def writerows(self, rows):
535 for row in rows:
536 self.writerow(row)
537\end{verbatim}
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