An answer would be really appreciated.Some of the biggest Python libraries included in Anaconda are NumPy, Pandas, and Matplotlib, though the full 1000+ list is exhaustive.Īnaconda lets us hit the ground running in your own fully stocked data science workshop without the hassle of managing the many installations or worrying about OS-specific dependencies.
I've run through the community for related problems and answers but making no headway. UnicodeDecodeError: 'utf-8' codec can't decode bytes in position 0-1: invalid continuation byte Pandas/_libs/parsers.pyx in pandas._._get_header() Pandas/_libs/parsers.pyx in pandas._._cinit_() > 1853 self._reader = parsers.TextReader(src, **kwds)ġ854 self.unnamed_cols = self._reader.unnamed_cols ~\Anaconda3\lib\site-packages\pandas\io\parsers.py in _init_(self, src, **kwds) > 1122 self._engine = CParserWrapper(self.f, **self.options) ~\Anaconda3\lib\site-packages\pandas\io\parsers.py in _make_engine(self, engine) ~\Anaconda3\lib\site-packages\pandas\io\parsers.py in _init_(self, f, engine, **kwds)Ĩ93 self.options = kwds
> 429 parser = TextFileReader(filepath_or_buffer, **kwds) ~\Anaconda3\lib\site-packages\pandas\io\parsers.py in _read(filepath_or_buffer, kwds) > 702 return _read(filepath_or_buffer, kwds) ~\Anaconda3\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) > 1 mpg = pd.read_csv(r'C:\Users\Ajibola\Documents\mpg.csv') UnicodeDecodeError Traceback (most recent call last) Synta圎rror: (unicode error) 'unicodeescape' codec can't decode bytes in position 2-3: truncated \UXXXXXXXX escapeĪnd after prefixing the PATH with r, I got the error:. Mpg = pd.read_csv('C:\Users\Ajibola\Documents\mpg.csv') Mpg = pd.read_csv('C:/Users/Ajibola/Documents/mpg.csv')Īnd this is the error I got: File "", line 1 I have been having issues reading a CSV file into Jupyter Notebook.
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