UnicodeDecodeError：“ charmap”編解碼器無法解碼位置2247中的字節0x9d：字符映射到<undefined>

Question

當我運行代碼（Python 3）時，不斷出現此錯誤：

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>

我已經嘗試過這些解決方案，但是沒有任何效果。

如果我通過添加encoding ='UTF-8來解決編碼問題，則代碼僅打印一行。 如果我將編碼問題留在原地，它將在拋出錯誤之前先打印近700行。 無論哪種方式，它仍然無法正常工作。

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

這是我最終使用的代碼。

正如Arun在評論中所建議的那樣，如果您遇到類似的問題，則應閱讀有關該問題的所有答案。 對於此問題，它具有有關堆棧交換的最簡潔和有用的信息。

然后重新檢查您的代碼以確保它是有效的。 就我而言，是某種錯誤的壓痕最終解決了它。

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)