Reputation: 1303
I am using Python 2.6 on Linux. I have a shift_jis (Japanese) encoded .csv file that I am loading. I am reading the header in, and doing a regex replacement to translate a few values, then writing the file back as shift_jis. I am hitting a UnicodeDecodeError on one of the characters in the file, ①, which should be a valid character according to http://www.rikai.com/library/kanjitables/kanji_codes.sjis.shtml. The other Japanese characters decode fine.
1) I am decoding the string using shift_jis in a list comprehension. What can I do if I want to just ignore (workaround) this and other bad characters? Here is the code with the csv values already read in list_of_row_values.
#! /usr/bin/python
# -*- coding: utf8 -*-
import csv
import re
with open('test.csv', 'wb') as output_file:
wr = csv.writer(output_file, delimiter=',', quoting=csv.QUOTE_NONE)
# the following corresponds to reading from a shift_jis encoded csv files "日付,直流電流計測①,直流電流計測②"
# 直流電流計測① is throwing an exception when decoded but it is a valid character according to
# http://www.rikai.com/library/kanjitables/kanji_codes.sjis.shtml
list_of_row_values = ['\x93\xfa\x95t', '\x92\xbc\x97\xac\x93d\x97\xac\x8cv\x91\xaa\x87@', '\x92\xbc\x97\xac\x93d\x97\xac\x8cv\x91\xaa\x87A']
# take away the last character in entry two, and three, and it would work
# but that means I know all the bad characters before hand
#list_of_row_values = ['\x93\xfa\x95t', '\x92\xbc\x97\xac\x93d\x97\xac\x8cv\x91\xaa', '\x92\xbc\x97\xac\x93d\x97\xac\x8cv\x91\xaa']
try:
list_of_unicode_row_values = [str.decode('shift_jis') for str in list_of_row_values]
except UnicodeDecodeError:
# Question: what if I want to just ignore the character that cannot be decoded and still get the list
# of "日付,直流電流計測,直流電流計測" as unicode?
# right now, list_of_unicode_row_values would remain undefined, and the next line will
# have a NameError
print 'UnicodeDecodeError'
pass
# do a regex explanation to translate one column heading value
list_of_translated_unicode_row_values = \
[re.sub('日付'.decode('utf-8'), 'Date Time', str) for str in list_of_unicode_row_values]
list_of_translated_row_values = [unicode_str.encode('shift_jis') for unicode_str in list_of_translated_unicode_row_values]
wr.writerow(list_of_translated_row_values)
2) On a side note, how should I report this Python bug that a particular shift_jis character seems to fail to be properly decoded?
Upvotes: 1
Views: 215
Reputation: 179592
In general, you can use errors='ignore'
to skip over invalid characters:
list_of_unicode_row_values = [str.decode('shift_jis', errors='ignore') for str in list_of_row_values]
This results in the following entries in list_of_unicode_row_values
:
日付
直流電流計測
直流電流計測
However, in your particular case, you are using the wrong encoding. Python's shift_jis
encoding conforms to the JIS X 0208 standard, while the character ① exists in the newer JIS X 0213 standard. To use the latter, just use the shift_jisx0213
encoding:
list_of_unicode_row_values = [str.decode('shift_jisx0213') for str in list_of_row_values]
You will get the following entries:
日付
直流電流計測①
直流電流計測②
as expected.
Upvotes: 3