Python / Pandas: UnicodeDecodeError: 'utf-8' codec can't decode byte 0xcd in position 133: invalid continuation byte

Question

我正在尝试构建一种方法来导入多种类型的 csvs 或 Excel 并对其进行标准化。一切都很顺利运行直到某个 csv 出现，这给我带来了这个错误：

UnicodeDecodeError: 'utf-8' codec can't decode byte 0xcd in position 133: invalid continuation byte

我正在构建一组 try/excepts 以包含数据类型的变体，但对于这个我不知道如何防止。

    if csv_or_excel_path[-3:]=='csv':
        try: table=pd.read_csv(csv_or_excel_path)
        except:
            try: table=pd.read_csv(csv_or_excel_path,sep=';')
            except:
                try:table=pd.read_csv(csv_or_excel_path,sep='\t')
                except:
                    try: table=pd.read_csv(csv_or_excel_path,encoding='utf-8')
                    except:
                        try: table=pd.read_csv(csv_or_excel_path,encoding='utf-8',sep=';')
                        except: table=pd.read_csv(csv_or_excel_path,encoding='utf-8',sep='\t')

顺便说一句，文件的分隔符是“;”。

所以：

a) 我明白，如果我能识别出 "position 133" 中的字符是什么，那么追踪问题会更容易，但我不确定如何找到它。有什么建议吗？

b) 是否有人建议在 try/except 序列中包含哪些内容以跳过此问题？

Answer 1

感谢@woblers 和@FHTMitchell 的支持。问题是 CSV 有一个奇怪的结果：ISO-8859-1。

我通过在 try/except 序列中添加几行来修复它。在这里你可以看到它的完整版本。

    if csv_or_excel_path[-3:]=='csv':
        try: table=pd.read_csv(csv_or_excel_path)
        except:
            try: table=pd.read_csv(csv_or_excel_path,sep=';')
            except:
                try:table=pd.read_csv(csv_or_excel_path,sep='\t')
                except:
                    try: table=pd.read_csv(csv_or_excel_path,encoding='utf-8')
                    except:
                        try: table=pd.read_csv(csv_or_excel_path,encoding='utf-8',sep=';')
                        except:
                            try: table=pd.read_csv(csv_or_excel_path,encoding='utf-8',sep='\t')
                            except:
                                try:table=pd.read_csv(csv_or_excel_path,encoding = "ISO-8859-1", sep=";")
                                except:
                                    try: table=pd.read_csv(csv_or_excel_path,encoding = "ISO-8859-1", sep=";")
                                    except: table=pd.read_csv(csv_or_excel_path,encoding = "ISO-8859-1", sep="\t")

Answer 2

郑重声明，这可能比多个 try/excepts

def read_csv(filepath):
     if os.path.splitext(filepath)[1] != '.csv':
          return  # or whatever
     seps = [',', ';', '\t']                    # ',' is default
     encodings = [None, 'utf-8', 'ISO-8859-1']  # None is default
     for sep in seps:
         for encoding in encodings:
              try:
                  return pd.read_csv(filepath, encoding=encoding, sep=sep)
              except Exception:  # should really be more specific 
                  pass
     raise ValueError("{!r} is has no encoding in {} or seperator in {}"
                      .format(filepath, encodings, seps))

Answer 3

另一种可能是

with open(path_to_file, encoding="utf8", errors="ignore") as f:
    table = pd.read_csv(f, sep=";")

默认情况下，errors="ignore" 将忽略来自 read() 调用的有问题的字节序列。您还可以为此类字节序列提供填充值。但总的来说，这应该减少大量痛苦的错误处理和嵌套的 try-excepts 的需要。

Python / Pandas: UnicodeDecodeError: 'utf-8' codec can't decode byte 0xcd in position 133: invalid continuation byte

Python / Pandas: UnicodeDecodeError: 'utf-8' codec can't decode byte 0xcd in position 133: invalid continuation byte

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