Question

当我运行我的代码（Python 3）时，我不断收到此错误：

Traceback (most recent call last):
  File "country.py", line 16, in <module>
    for row in csv_reader:
  File "C:\Users\benny\Anaconda3\lib\csv.py", line 112, in __next__
    row = next(self.reader)
  File "C:\Users\benny\Anaconda3\lib\encodings\cp1252.py", line 23, in decode
    return codecs.charmap_decode(input,self.errors,decoding_table)[0]
UnicodeDecodeError: 'charmap' codec can't decode byte 0x9d in position 2247: character maps to <undefined>

我尝试了these solutions但没有工作。

如果通过添加encoding =＆＃39; UTF-8修复编码问题，代码只打印一行。如果我保留编码问题，它会在抛出错误之前打印大约700行。无论哪种方式，它仍然无法工作。

import csv
import country_converter as coco

with open('Interpol.csv', 'r') as csv_file, open('Interpol_Extra.csv', 'w', newline='') as new_file:

    csv_reader = csv.DictReader(csv_file)

    fieldnames = ['Case Happened - UN Region', 'Case Happened - Continent', 
    'Recovered - UN Region', 'Recovered - Continent'] + csv_reader.fieldnames

    csv_writer = csv.DictWriter(new_file, fieldnames)

    csv_writer.writeheader()

    for row in csv_reader:
        case_country_name = row['Case happened - Country']
        recovered_country_name = row['Recovered - Country']

        if case_country_name:
            row['Case Happened - UN Region'] = coco.convert(names=case_country_name, to='UNregion')
            row['Case Happened - Continent'] = coco.convert(names=case_country_name, to='Continent')

        if recovered_country_name:
            row['Recovered - UN Region'] = coco.convert(names=recovered_country_name, to='UNregion')
            row['Recovered - Continent'] = coco.convert(names=recovered_country_name, to='Continent')

    csv_writer.writerow(row)

Answer 1

这是我最终使用的代码。

正如Arun在评论中所建议的，如果您遇到类似问题，请阅读this question上的所有答案。它有关于此问题的堆栈交换最简洁和最有用的信息。

然后重新检查您的代码以确保其有效。就我而言，最终修复了一些错误的缩进。

import csv
import country_converter as coco

with open('Interpol.csv', 'r', encoding="utf-8") as csv_file, open('Interpol_Extra.csv', 'w', newline='', encoding="utf-8") as new_file:

    csv_reader = csv.DictReader(csv_file)

    fieldnames = ['Case Happened - UN Region', 'Case Happened - Continent', 
    'Recovered - UN Region', 'Recovered - Continent'] + csv_reader.fieldnames

    csv_writer = csv.DictWriter(new_file, fieldnames)

    csv_writer.writeheader()

    for row in csv_reader:
        case_country_name = row['Case happened - Country']
        recovered_country_name = row['Recovered - Country']

        if case_country_name:
            row['Case Happened - UN Region'] = coco.convert(names=case_country_name, to='UNregion')
            row['Case Happened - Continent'] = coco.convert(names=case_country_name, to='Continent')

        if recovered_country_name:
            row['Recovered - UN Region'] = coco.convert(names=recovered_country_name, to='UNregion')
            row['Recovered - Continent'] = coco.convert(names=recovered_country_name, to='Continent')

        csv_writer.writerow(row)

UnicodeDecodeError：＆＃39; charmap＆＃39;编解码器不能解码位置2247中的字节0x9d：字符映射到<undefined>

1 个答案: