TypeError：データ型 "カテゴリ"がわからない

Question

dtype = 'category'を使用しようとしているときに問題が発生したときにエラーが発生しました。私は、図示のように引用符でcategoryを使用

train = pd.read_csv("C:/shubhamprojectwork/Kagglecomp/livecomp/My music recomment/train.csv/train.csv", dtype={'msno' : 'category','song_id' : 'category','source_system_tab' : 'category','source_screen_name' : 'category','source_type' : 'category','target' : np.uint8}) 

エラーが

TypeError         Traceback (most recent call last) 
<ipython-input-47-7d016844c8d7> in <module>() 
     1 
     2 #train = pd.read_csv(data_path + 'train.csv', dtype={'msno' : category,'song_id' : 'category','source_system_tab' : 'category','source_screen_name' : 'category','source_type' : 'category','target' : np.uint8}) 
----> 3 train = pd.read_csv(data_path + 'train.csv', dtype={'msno' : 'category'}) 

C:\ProgramData\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, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skip_footer, doublequote, delim_whitespace, as_recarray, compact_ints, use_unsigned, low_memory, buffer_lines, memory_map, float_precision) 
    560      skip_blank_lines=skip_blank_lines) 
    561 
--> 562   return _read(filepath_or_buffer, kwds) 
    563 
    564  parser_f.__name__ = name 

C:\ProgramData\Anaconda3\lib\site-packages\pandas\io\parsers.py in _read(filepath_or_buffer, kwds) 
    313 
    314  # Create the parser. 
--> 315  parser = TextFileReader(filepath_or_buffer, **kwds) 
    316 
    317  if (nrows is not None) and (chunksize is not None): 

C:\ProgramData\Anaconda3\lib\site-packages\pandas\io\parsers.py in __init__(self, f, engine, **kwds) 
    643    self.options['has_index_names'] = kwds['has_index_names'] 
    644 
--> 645   self._make_engine(self.engine) 
    646 
    647  def close(self): 

C:\ProgramData\Anaconda3\lib\site-packages\pandas\io\parsers.py in _make_engine(self, engine) 
    797  def _make_engine(self, engine='c'): 
    798   if engine == 'c': 
--> 799    self._engine = CParserWrapper(self.f, **self.options) 
    800   else: 
    801    if engine == 'python': 

C:\ProgramData\Anaconda3\lib\site-packages\pandas\io\parsers.py in __init__(self, src, **kwds) 
    1211   kwds['allow_leading_cols'] = self.index_col is not False 
    1212 
-> 1213   self._reader = _parser.TextReader(src, **kwds) 
    1214 
    1215   # XXX 

pandas/parser.pyx in pandas.parser.TextReader.__cinit__ (pandas\parser.c:4625)() 

TypeError: data type "category" not understood 

Answer 1

train = pd.read_csv("C:/shubhamprojectwork/Kagglecomp/livecomp/My music recomment/train.csv/train.csv", dtype={'msno' : 'category','song_id' : 'category','source_system_tab' : 'category','source_screen_name' : 'category','source_type' : 'category','target' : np.uint8}) 

で、以前の回答を読んで、適用されるが、それらはすべて非常に古い 私のコードがあるので、答えのどれも問題を解決されていないました。