使用pandas读取csv：

BPIC_2017_df = pd.read_csv('./datasets_csv/BPI_Challenge_2017.csv', index_col=0)

但是由于csv数据集太大了，读取报错：

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-58-93042d10a770> in <module>
      2 
----> 3 BPIC_2017_df = pd.read_csv('./datasets_csv/BPI_Challenge_2017.csv', index_col=0)

E:\anaconda3\envs\tf_keras\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 

E:\anaconda3\envs\tf_keras\lib\site-packages\pandas\io\parsers.py in _read(filepath_or_buffer, kwds)
    456 
    457     try:
--> 458         data = parser.read(nrows)
    459     finally:
    460         parser.close()

E:\anaconda3\envs\tf_keras\lib\site-packages\pandas\io\parsers.py in read(self, nrows)
   1194     def read(self, nrows=None):
   1195         nrows = _validate_integer("nrows", nrows)
-> 1196         ret = self._engine.read(nrows)
   1197 
   1198         # May alter columns / col_dict

E:\anaconda3\envs\tf_keras\lib\site-packages\pandas\io\parsers.py in read(self, nrows)
   2229 
   2230             names, data = self._do_date_conversions(names, data)
-> 2231             index, names = self._make_index(data, alldata, names)
   2232 
   2233         # maybe create a mi on the columns

E:\anaconda3\envs\tf_keras\lib\site-packages\pandas\io\parsers.py in _make_index(self, data, alldata, columns, indexnamerow)
   1675         elif not self._has_complex_date_col:
   1676             index = self._get_simple_index(alldata, columns)
-> 1677             index = self._agg_index(index)
   1678         elif self._has_complex_date_col:
   1679             if not self._name_processed:

E:\anaconda3\envs\tf_keras\lib\site-packages\pandas\io\parsers.py in _agg_index(self, index, try_parse_dates)
   1768                     )
   1769 
-> 1770             arr, _ = self._infer_types(arr, col_na_values | col_na_fvalues)
   1771             arrays.append(arr)
   1772 

E:\anaconda3\envs\tf_keras\lib\site-packages\pandas\io\parsers.py in _infer_types(self, values, na_values, try_num_bool)
   1869         na_count = 0
   1870         if issubclass(values.dtype.type, (np.number, np.bool_)):
-> 1871             mask = algorithms.isin(values, list(na_values))
   1872             na_count = mask.sum()
   1873             if na_count > 0:

E:\anaconda3\envs\tf_keras\lib\site-packages\pandas\core\algorithms.py in isin(comps, values)
    441         # If the the values include nan we need to check for nan explicitly
    442         # since np.nan it not equal to np.nan
--> 443         if np.isnan(values).any():
    444             f = lambda c, v: np.logical_or(np.in1d(c, v), np.isnan(c))
    445         else:

TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''

具体错误为：

TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''

我的解决方法是把

BPIC_2017_df = pd.read_csv('./datasets_csv/BPI_Challenge_2017.csv', index_col=0)

中的", index_col=0"这个设置去掉，读取成功！！！