pandas读取大csv报错：TypeError: ufunc ‘isnan‘ not supported for the input types, and the inputs could not

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_dictE:\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 columnsE:\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 = 01870         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 explicitly442         # 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！！！

pandas读取大csv报错：TypeError: ufunc ‘isnan‘ not supported for the input types, and the inputs could not相关推荐

acorr_ljungbox(data, lags = 1)报错：ufunc 'isnan' not supported for the input types, and the inputs cou
报错信息:ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to ...
TypeError: ufunc ‘isnan‘ not supported for the input types, and the inputs could not be...可能的原因记录
TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerc ...
TypeError: ufunc ‘isinf‘ not supported for the input types, and the inputs could not be safely...
报错代码 np.isinf(Table) nmupy错误提示: TypeError: ufunc 'isinf' not supported for the input types, and the ...
成功解决TypeError: ufunc 'sqrt' not supported for the input types, and the inputs could not be safely co
成功解决TypeError: ufunc 'sqrt' not supported for the input types, and the inputs could not be safely co ...
ufunc ‘isnan‘ not supported for the input types, and the inputs could not be safely
解决方案: 有可能是np.ndarray数组元素是object类型导致不能进行np.isnan()的判断,可以进行数组元素的转换: array = array.astype(np.float64) a ...
Python: ufunc ‘bitwise_xor‘ not supported for the input types,....
错误: ufunc 'bitwise_xor' not supported for the input types, and the inputs could not be safely coerce ...
Python——CSV读取大文件报错_csv.Error: field larger than field limit
Python--CSV读取大文件报错_csv.Error: field larger than field limit 使用Python读取较大的csv文件时,可能出现大字段,导致超过字段默认限制,从 ...
Pandas读取中文文本文件报错:python ‘utf-8‘ codec can‘t decode byte 0xe3 in position 0: unexpected end of data
近日用pandas的read_csv读取中文文本文件时报错:python 'utf-8' codec can't decode byte 0xe3 in position 0: unexpected ...
halcon 读取大图片报错5504
halcon在读取一般分辨率的图片是没问题,但读取大图片时,例如线扫的图片动不动就有个好几百张,halcon读取时就报错了. 经过大神指点,原来halcon IDE 有两种模式:halcon和 hal ...

pandas读取大csv报错：TypeError: ufunc ‘isnan‘ not supported for the input types, and the inputs could not

pandas读取大csv报错：TypeError: ufunc ‘isnan‘ not supported for the input types, and the inputs could not相关推荐

最新文章

热门文章