[英]SyntaxError: (unicode error) 'unicodeescape' codes can't decode bytes in position 12-13 truncated \UXXXXXXXX escape
I tried using pd.read_csv("C:\\Users\\mfk15\\Desktop\\DM\\tweets.xlsx")
but there is still an error.我尝试使用pd.read_csv("C:\\Users\\mfk15\\Desktop\\DM\\tweets.xlsx")
但仍然有错误。 I use windows anaconda Jupyter notebook.我使用 windows anaconda Jupyter 笔记本。
this is the error I faces now这是我现在面临的错误
File "<ipython-input-4-200f7da6a93c>", line 1
data_imdb = pd.read_csv("C:\Users\mfk15\Desktop\DM\tweets.xlsx", delimiter='\t', header=None)
^
SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in position 12-13: truncated \\UXXXXXXXX escap SyntaxError: (unicode error) 'unicodeescape' 编解码器无法解码位置 12-13 中的字节:截断 \\UXXXXXXXX 转义
Additional traceback for OSError
: OSError
附加回溯:
OSError Traceback (most recent call last)
<ipython-input-25-c18122f86667> in <module>
----> 1 data_imdb=pandas.read_csv("C:/Users/mfk15/anaconda3/tweets.csv", delimiter='\t', header=None)
2 data_imdb.columns = ["tweetText", "tweetCreated","Location"]
3
4 data_imdb
~\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)
684 )
685
--> 686 return _read(filepath_or_buffer, kwds)
687
688
~\anaconda3\lib\site-packages\pandas\io\parsers.py in _read(filepath_or_buffer, kwds)
450
451 # Create the parser.
--> 452 parser = TextFileReader(fp_or_buf, **kwds)
453
454 if chunksize or iterator:
~\anaconda3\lib\site-packages\pandas\io\parsers.py in __init__(self, f, engine, **kwds)
944 self.options["has_index_names"] = kwds["has_index_names"]
945
--> 946 self._make_engine(self.engine)
947
948 def close(self):
~\anaconda3\lib\site-packages\pandas\io\parsers.py in _make_engine(self, engine)
1176 def _make_engine(self, engine="c"):
1177 if engine == "c":
-> 1178 self._engine = CParserWrapper(self.f, **self.options)
1179 else:
1180 if engine == "python":
~\anaconda3\lib\site-packages\pandas\io\parsers.py in __init__(self, src, **kwds)
2006 kwds["usecols"] = self.usecols
2007
-> 2008 self._reader = parsers.TextReader(src, **kwds)
2009 self.unnamed_cols = self._reader.unnamed_cols
2010
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader.__cinit__()
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._setup_parser_source()
OSError: [Errno 22] Invalid argument: '\u202aC:/Users/mfk15/anaconda3/tweets.csv'
尝试这个 :
pd.read_csv(r"C:\Users\mfk15\Desktop\DM\tweets.xlsx")
只需用正斜杠替换所有反斜杠
pd.read_csv("C:/Users/mfk15/Desktop/DM/tweets.xlsx", delimiter='\t', header=None)
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