通过 Paramiko 从 SFTP 服务器将 CSV 文件读入 Pandas 失败,显示“'utf-8' codec can't decode byte ... in position ....: invalid start byte”
Reading CSV file into Pandas from SFTP server via Paramiko fails with "'utf-8' codec can't decode byte ... in position ....: invalid start byte"
我正在尝试使用 Paramiko 从 SFTP 服务器将 CSV 文件读入 Pandas:
with sftp.open(path + file.filename) as fp:
fp_aux = pd.read_csv(fp, separator = '|')
但是在尝试时,它会抛出这个错误:
'utf-8' codec can't decode byte 0xa3 in position 73: invalid start byte
我尝试了不同的编码,将不同的参数传递给 pd.read_csv
函数的 encoding
参数(unicode_escape、latin-1、latin1、latin、utf-8... ).我也尝试过 engine='python'
但到目前为止没有运气。还有什么我可以尝试的吗?如果不是,我如何忽略错误并继续下一行或下一个df?
只有当我尝试从 SFTP 服务器读取时才会发生这种情况,如果我从本地磁盘读取它,它会正常工作。
错误的完整调用堆栈:
UnicodeDecodeError Traceback (most recent call last)
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._convert_tokens()
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._convert_with_dtype()
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._string_convert()
pandas\_libs\parsers.pyx in pandas._libs.parsers._string_box_utf8()
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa3 in position 83: invalid start byte
During handling of the above exception, another exception occurred:
UnicodeDecodeError Traceback (most recent call last)
<ipython-input-41-53537b824736> in <module>
1 with sftp.open(r'/Debtopdcarich/Mandatory File/MandatoryFile_190721.csv') as fp:
----> 2 fp_aux = (pd.read_csv(fp, encoding='iso-8859-1', sep='|'))
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\io\parsers.py in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)
603 kwds.update(kwds_defaults)
604
--> 605 return _read(filepath_or_buffer, kwds)
606
607
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\io\parsers.py in _read(filepath_or_buffer, kwds)
461
462 with parser:
--> 463 return parser.read(nrows)
464
465
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\io\parsers.py in read(self, nrows)
1050 def read(self, nrows=None):
1051 nrows = validate_integer("nrows", nrows)
-> 1052 index, columns, col_dict = self._engine.read(nrows)
1053
1054 if index is None:
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\io\parsers.py in read(self, nrows)
2054 def read(self, nrows=None):
2055 try:
-> 2056 data = self._reader.read(nrows)
2057 except StopIteration:
2058 if self._first_chunk:
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader.read()
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._read_low_memory()
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._read_rows()
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._convert_column_data()
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._convert_tokens()
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._convert_with_dtype()
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._string_convert()
pandas\_libs\parsers.pyx in pandas._libs.parsers._string_box_utf8()
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa3 in position 83: invalid start byte
Pandas 似乎被 Paramiko 类文件对象 API 搞糊涂了。当与 Paramiko 类文件对象一起出现时,它不使用其 encoding
参数。
快速而肮脏的解决方案是将远程文件读取到内存中的类文件对象并将其呈现给 Pandas。然后使用encoding
参数。
flo = BytesIO()
sftp.getfo(path + file.filename, flo)
flo.seek(0)
pd.read_csv(flo, separator = '|', encoding='iso-8859-1')
更有效的方法可能是在 Paramiko 类文件对象之上构建一个包装器 class,并使用 Pandas 可以使用的 API。
我正在尝试使用 Paramiko 从 SFTP 服务器将 CSV 文件读入 Pandas:
with sftp.open(path + file.filename) as fp:
fp_aux = pd.read_csv(fp, separator = '|')
但是在尝试时,它会抛出这个错误:
'utf-8' codec can't decode byte 0xa3 in position 73: invalid start byte
我尝试了不同的编码,将不同的参数传递给 pd.read_csv
函数的 encoding
参数(unicode_escape、latin-1、latin1、latin、utf-8... ).我也尝试过 engine='python'
但到目前为止没有运气。还有什么我可以尝试的吗?如果不是,我如何忽略错误并继续下一行或下一个df?
只有当我尝试从 SFTP 服务器读取时才会发生这种情况,如果我从本地磁盘读取它,它会正常工作。
错误的完整调用堆栈:
UnicodeDecodeError Traceback (most recent call last)
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._convert_tokens()
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._convert_with_dtype()
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._string_convert()
pandas\_libs\parsers.pyx in pandas._libs.parsers._string_box_utf8()
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa3 in position 83: invalid start byte
During handling of the above exception, another exception occurred:
UnicodeDecodeError Traceback (most recent call last)
<ipython-input-41-53537b824736> in <module>
1 with sftp.open(r'/Debtopdcarich/Mandatory File/MandatoryFile_190721.csv') as fp:
----> 2 fp_aux = (pd.read_csv(fp, encoding='iso-8859-1', sep='|'))
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\io\parsers.py in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)
603 kwds.update(kwds_defaults)
604
--> 605 return _read(filepath_or_buffer, kwds)
606
607
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\io\parsers.py in _read(filepath_or_buffer, kwds)
461
462 with parser:
--> 463 return parser.read(nrows)
464
465
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\io\parsers.py in read(self, nrows)
1050 def read(self, nrows=None):
1051 nrows = validate_integer("nrows", nrows)
-> 1052 index, columns, col_dict = self._engine.read(nrows)
1053
1054 if index is None:
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\io\parsers.py in read(self, nrows)
2054 def read(self, nrows=None):
2055 try:
-> 2056 data = self._reader.read(nrows)
2057 except StopIteration:
2058 if self._first_chunk:
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader.read()
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._read_low_memory()
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._read_rows()
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._convert_column_data()
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._convert_tokens()
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._convert_with_dtype()
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._string_convert()
pandas\_libs\parsers.pyx in pandas._libs.parsers._string_box_utf8()
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa3 in position 83: invalid start byte
Pandas 似乎被 Paramiko 类文件对象 API 搞糊涂了。当与 Paramiko 类文件对象一起出现时,它不使用其 encoding
参数。
快速而肮脏的解决方案是将远程文件读取到内存中的类文件对象并将其呈现给 Pandas。然后使用encoding
参数。
flo = BytesIO()
sftp.getfo(path + file.filename, flo)
flo.seek(0)
pd.read_csv(flo, separator = '|', encoding='iso-8859-1')
更有效的方法可能是在 Paramiko 类文件对象之上构建一个包装器 class,并使用 Pandas 可以使用的 API。