如何在加载数据集时解析Pandas 'read_csv‘中的“read_csv”
如何在加载数据集时解析Pandas 'read_csv‘中的“read_csv”
提问于 2020-04-11 20:35:37
我正在使用CSV文件中的一个销售数据集。当我尝试用熊猫read_csv方法加载这个数据集时，我得到了一个错误UnicodeDecodeError: 'ascii' codec can't decode byte 0xae in position 16: ordinal not in range(128)，我不知道如何解决这个问题。我搜索了它，得到了，仍然无法解决我的问题。我尝试了以下方法
import pandas as pd
sales=pd.read_csv("Superstore-Sales.csv")
sales.head(5)这里是全错误
---------------------------------------------------------------------------
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 0xae in position 16: invalid start byte
During handling of the above exception, another exception occurred:
UnicodeDecodeError Traceback (most recent call last)
<ipython-input-50-c100e90b0440> in <module>
1 import pandas as pd
2
----> 3 sales=pd.read_csv("Superstore-Sales.csv")
4 sales.head(5)
D:\Anacoda\lib\site-packages\pandas\io\parsers.py in parser_f(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, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision)
700 skip_blank_lines=skip_blank_lines)
701
--> 702 return _read(filepath_or_buffer, kwds)
703
704 parser_f.__name__ = name
D:\Anacoda\lib\site-packages\pandas\io\parsers.py in _read(filepath_or_buffer, kwds)
433
434 try:
--> 435 data = parser.read(nrows)
436 finally:
437 parser.close()
D:\Anacoda\lib\site-packages\pandas\io\parsers.py in read(self, nrows)
1137 def read(self, nrows=None):
1138 nrows = _validate_integer('nrows', nrows)
-> 1139 ret = self._engine.read(nrows)
1140
1141 # May alter columns / col_dict
D:\Anacoda\lib\site-packages\pandas\io\parsers.py in read(self, nrows)
1993 def read(self, nrows=None):
1994 try:
-> 1995 data = self._reader.read(nrows)
1996 except StopIteration:
1997 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 0xae in position 16: invalid start byte回答 2
Stack Overflow用户
回答已采纳
发布于 2020-04-11 20:40:13
看看sales=pd.read_csv("Superstore-Sales.csv", encoding='latin1')能不能帮上忙。
Stack Overflow用户
发布于 2020-04-18 11:43:13
你可以试试这个：
address = (r"C:\--------------------/Superstore-Sales.csv")
sales = pd.read_csv(address, encoding='latin1')
sales.head()页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/61163367
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