12.20.1 Module Contents

The csv module defines the following functions:

reader( csvfile[, dialect='excel'[, fmtparam]]): Return a reader object which will iterate over lines in the given csvfile. csvfile can be any object which supports the iterator protocol and returns a string each time its next method is called. If csvfile is a file object, it must be opened with the 'b' flag on platforms where that makes a difference. 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 the Dialect class or one of the strings returned by the list_dialects function. The other optional fmtparam keyword arguments can be given to override individual formatting parameters in the current dialect. For more information about the dialect and formatting parameters, see section , ``Dialects and Formatting Parameters'' for details of these parameters.
All data read are returned as strings. No automatic data type conversion is performed.

writer( csvfile[, dialect='excel'[, fmtparam]]): 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 must be opened with the 'b' flag on platforms where that makes a difference. 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 the Dialect class or one of the strings returned by the list_dialects function. The other optional fmtparam keyword arguments can be given to override individual formatting parameters in the current dialect. For more information about the dialect and formatting parameters, see section , ``Dialects and Formatting Parameters'' for details of these parameters. To make it as easy as possible to interface with modules which implement the DB API, the value None 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 a cursor.fetch*() call. All other non-string data are stringified with str() before being written.

register_dialect( name, dialect): Associate dialect with name. dialect must be a subclass of csv.Dialect. name must be a string or Unicode object.

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.

get_dialect( name): Return the dialect associated with name. An Error is raised if name is not a registered dialect name.

The csv module defines the following classes:

class DictReader( csvfile, fieldnames[, restkey=None[, restval=None[, dialect='excel'[, fmtparam]]]]): Create an object which operates like a regular reader but maps the information read into a dict whose keys are given by the fieldnames parameter. If the row read has fewer fields than the fieldnames sequence, the value of restval will be used as the default value. If the row read has more fields than the fieldnames sequence, the remaining data is added as a sequence keyed by the value of restkey. If the row read has fewer fields than the fieldnames sequence, the remaining keys take the value of the optiona restval parameter. All other parameters are interpreted as for reader objects.

class DictWriter( csvfile, fieldnames[, restval=""[, extrasaction='raise'[, dialect='excel'[, fmtparam]]]]): Create an object which operates like a regular writer but maps dictionaries onto output rows. The fieldnames parameter identifies the order in which values in the dictionary passed to the writerow() method are written to the csvfile. The optional restval parameter specifies the value to be written if the dictionary is missing a key in fieldnames. If the dictionary passed to the writerow() method contains a key not found in fieldnames, the optional extrasaction parameter indicates what action to take. If it is set to 'raise' a ValueError is raised. If it is set to 'ignore', extra values in the dictionary are ignored. All other parameters are interpreted as for writer objects.

class Dialect: The Dialect class is a container class relied on primarily for its attributes, which are used to define the parameters for a specific reader or writer instance.

class Sniffer( ): The Sniffer class is used to deduce the format of a CSV file.

The Sniffer class provides a single method:

sniff( sample[,delimiters=None]): Analyze the given sample and return a Dialect subclass reflecting the parameters found. If the optional delimiters parameter is given, it is interpreted as a string containing possible valid delimiter characters.

has_header( sample): Analyze the sample text (presumed to be in CSV format) and return True if the first row appears to be a series of column headers.

The csv module defines the following constants:

QUOTE_MINIMAL: Instructs writer objects to only quote those fields which contain the current delimiter or begin with the current quotechar.

QUOTE_NONNUMERIC: Instructs writer objects to quote all non-numeric fields.

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. When QUOTE_NONE is in effect, it is an error not to have a single-character escapechar defined, even if no data to be written contains the delimiter character.

The csv module defines the following exception:

exception Error: Raised by any of the functions when an error is detected.

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