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Python Standard Library
Module csv
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Module csv

CSV parsing and writing.
This module provides classes that assist in the reading and writing
of Comma Separated Value (CSV) files, and implements the interface
described by PEP 305. Although many CSV files are simple to parse,
the format is not formally defined by a stable specification and
is subtle enough that parsing lines of a CSV file with something
like line.split(",") is bound to fail. The module supports three
basic APIs: reading, writing, and registration of dialects.
DIALECT REGISTRATION:
Readers and writers support a dialect argument, which is a convenient
handle on a group of settings. When the dialect argument is a string,
it identifies one of the dialects previously registered with the module.
If it is a class or instance, the attributes of the argument are used as
the settings for the reader or writer:
 class excel:
 delimiter = ','
 quotechar = '"'
 escapechar = None
 doublequote = True
 skipinitialspace = False
 lineterminator = '\r\n'
 quoting = QUOTE_MINIMAL
SETTINGS:
 * quotechar - specifies a one-character string to use as the 
 quoting character. It defaults to '"'.
 * delimiter - specifies a one-character string to use as the 
 field separator. It defaults to ','.
 * skipinitialspace - specifies how to interpret whitespace which
 immediately follows a delimiter. It defaults to False, which
 means that whitespace immediately following a delimiter is part
 of the following field.
 * lineterminator - specifies the character sequence which should 
 terminate rows.
 * quoting - controls when quotes should be generated by the writer.
 It can take on any of the following module constants:
 csv.QUOTE_MINIMAL means only when required, for example, when a
 field contains either the quotechar or the delimiter
 csv.QUOTE_ALL means that quotes are always placed around fields.
 csv.QUOTE_NONNUMERIC means that quotes are always placed around
 fields which do not parse as integers or floating point
 numbers.
 csv.QUOTE_NONE means that quotes are never placed around fields.
 * escapechar - specifies a one-character string used to escape 
 the delimiter when quoting is set to QUOTE_NONE.
 * doublequote - controls the handling of quotes inside fields. When
 True, two consecutive quotes are interpreted as one during read,
 and when writing, each quote character embedded in the data is
 written as two quotes

Version: 1.0

Classes [hide private]
Error Dialect
Describe an Excel dialect. excel
Describe the usual properties of Excel-generated CSV files. excel_tab
Describe the usual properties of Excel-generated TAB-delimited files. DictReader DictWriter complex
float(x) -> floating point number Sniffer
"Sniffs" the format of a CSV file (i.e.
Functions [hide private]
writer(...)
csv_writer = csv.writer(fileobj [, dialect='excel'] [optional keyword args]) for row in sequence: csv_writer.writerow(row)
reader(...)
csv_reader = reader(iterable [, dialect='excel'] [optional keyword args]) for row in csv_reader: process(row)
register_dialect(...)
Create a mapping from a string name to a dialect class.
unregister_dialect(...)
Delete the name/dialect mapping associated with a string name.
get_dialect(...)
Return the dialect instance associated with name.
list_dialects(...)
Return a list of all know dialect names.
Variables [hide private]
QUOTE_MINIMAL = 0 QUOTE_ALL = 1 QUOTE_NONNUMERIC = 2 QUOTE_NONE = 3

Imports: re, field_size_limit, __doc__, _Dialect, StringIO


Function Details [hide private]

writer(...)

csv_writer = csv.writer(fileobj [, dialect='excel']
 [optional keyword args])
 for row in sequence:
 csv_writer.writerow(row)
 [or]
 csv_writer = csv.writer(fileobj [, dialect='excel']
 [optional keyword args])
 csv_writer.writerows(rows)
The "fileobj" argument can be any object that supports the file API.

reader(...)

csv_reader = reader(iterable [, dialect='excel']
 [optional keyword args])
 for row in csv_reader:
 process(row)
The "iterable" argument can be any object that returns a line
of input for each iteration, such as a file object or a list. The
optional "dialect" parameter is discussed below. The function
also accepts optional keyword arguments which override settings
provided by the dialect.
The returned object is an iterator. Each iteration returns a row
of the CSV file (which can span multiple input lines):

register_dialect(...)

Create a mapping from a string name to a dialect class. dialect = csv.register_dialect(name, dialect)

unregister_dialect(...)

Delete the name/dialect mapping associated with a string name. csv.unregister_dialect(name)

get_dialect(...)

Return the dialect instance associated with name. dialect = csv.get_dialect(name)

list_dialects(...)

Return a list of all know dialect names. names = csv.list_dialects()


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Python Standard Library

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