ImportError:没有名为'pandas.indexes'的模块

Question

导入pandas不会抛出错误,而是尝试读取拾取的pandas数据帧:

import numpy as np
import pandas as pd
import matplotlib
import seaborn as sns
sns.set(style="white")

control_data = pd.read_pickle('null_report.pickle')
test_data = pd.read_pickle('test_report.pickle')

回溯是165行,有三个并发异常(无论这意味着什么).是read_pickle不是熊猫版17.1我跑兼容？如何取消我的数据帧的使用？

以下是回溯的副本:

ImportError                               Traceback (most recent call last)
C:\Users\test\Anaconda3\lib\site-packages\pandas\io\pickle.py in try_read(path, encoding)
     45             with open(path, 'rb') as fh:
---> 46                 return pkl.load(fh)
     47         except (Exception) as e:

ImportError: No module named 'pandas.indexes'

During handling of the above exception, another exception occurred:

ImportError                               Traceback (most recent call last)
C:\Users\test\Anaconda3\lib\site-packages\pandas\io\pickle.py in try_read(path, encoding)
     51                 with open(path, 'rb') as fh:
---> 52                     return pc.load(fh, encoding=encoding, compat=False)
     53 

C:\Users\test\Anaconda3\lib\site-packages\pandas\compat\pickle_compat.py in load(fh, encoding, compat, is_verbose)
    115 
--> 116         return up.load()
    117     except:

C:\Users\test\Anaconda3\lib\pickle.py in load(self)
   1038                 assert isinstance(key, bytes_types)
-> 1039                 dispatch[key[0]](self)
   1040         except _Stop as stopinst:

C:\Users\test\Anaconda3\lib\pickle.py in load_stack_global(self)
   1342             raise UnpicklingError("STACK_GLOBAL requires str")
-> 1343         self.append(self.find_class(module, name))
   1344     dispatch[STACK_GLOBAL[0]] = load_stack_global

C:\Users\test\Anaconda3\lib\pickle.py in find_class(self, module, name)
   1383                 module = _compat_pickle.IMPORT_MAPPING[module]
-> 1384         __import__(module, level=0)
   1385         if self.proto >= 4:

ImportError: No module named 'pandas.indexes'

During handling of the above exception, another exception occurred:

ImportError                               Traceback (most recent call last)
C:\Users\test\Anaconda3\lib\site-packages\pandas\io\pickle.py in read_pickle(path)
     59     try:
---> 60         return try_read(path)
     61     except:

C:\Users\test\Anaconda3\lib\site-packages\pandas\io\pickle.py in try_read(path, encoding)
     56                 with open(path, 'rb') as fh:
---> 57                     return pc.load(fh, encoding=encoding, compat=True)
     58 

C:\Users\test\Anaconda3\lib\site-packages\pandas\compat\pickle_compat.py in load(fh, encoding, compat, is_verbose)
    115 
--> 116         return up.load()
    117     except:

C:\Users\test\Anaconda3\lib\pickle.py in load(self)
   1038                 assert isinstance(key, bytes_types)
-> 1039                 dispatch[key[0]](self)
   1040         except _Stop as stopinst:

C:\Users\test\Anaconda3\lib\pickle.py in load_stack_global(self)
   1342             raise UnpicklingError("STACK_GLOBAL requires str")
-> 1343         self.append(self.find_class(module, name))
   1344     dispatch[STACK_GLOBAL[0]] = load_stack_global

C:\Users\test\Anaconda3\lib\pickle.py in find_class(self, module, name)
   1383                 module = _compat_pickle.IMPORT_MAPPING[module]
-> 1384         __import__(module, level=0)
   1385         if self.proto >= 4:

ImportError: No module named 'pandas.indexes'

During handling of the above exception, another exception occurred:

ImportError                               Traceback (most recent call last)
C:\Users\test\Anaconda3\lib\site-packages\pandas\io\pickle.py in try_read(path, encoding)
     45             with open(path, 'rb') as fh:
---> 46                 return pkl.load(fh)
     47         except (Exception) as e:

ImportError: No module named 'pandas.indexes'

During handling of the above exception, another exception occurred:

ImportError                               Traceback (most recent call last)
C:\Users\test\Anaconda3\lib\site-packages\pandas\io\pickle.py in try_read(path, encoding)
     51                 with open(path, 'rb') as fh:
---> 52                     return pc.load(fh, encoding=encoding, compat=False)
     53 

C:\Users\test\Anaconda3\lib\site-packages\pandas\compat\pickle_compat.py in load(fh, encoding, compat, is_verbose)
    115 
--> 116         return up.load()
    117     except:

C:\Users\test\Anaconda3\lib\pickle.py in load(self)
   1038                 assert isinstance(key, bytes_types)
-> 1039                 dispatch[key[0]](self)
   1040         except _Stop as stopinst:

C:\Users\test\Anaconda3\lib\pickle.py in load_stack_global(self)
   1342             raise UnpicklingError("STACK_GLOBAL requires str")
-> 1343         self.append(self.find_class(module, name))
   1344     dispatch[STACK_GLOBAL[0]] = load_stack_global

C:\Users\test\Anaconda3\lib\pickle.py in find_class(self, module, name)
   1383                 module = _compat_pickle.IMPORT_MAPPING[module]
-> 1384         __import__(module, level=0)
   1385         if self.proto >= 4:

ImportError: No module named 'pandas.indexes'

During handling of the above exception, another exception occurred:

ImportError                               Traceback (most recent call last)
<ipython-input-17-3b05fe7d20a4> in <module>()
      3 # test_data = np.genfromtxt(fh, usecols=2)
      4 
----> 5 control_data = pd.read_pickle('null_report.pickle')
      6 test_data = pd.read_pickle('test_report.pickle')
      7 

C:\Users\test\Anaconda3\lib\site-packages\pandas\io\pickle.py in read_pickle(path)
     61     except:
     62         if PY3:
---> 63             return try_read(path, encoding='latin1')
     64         raise

C:\Users\test\Anaconda3\lib\site-packages\pandas\io\pickle.py in try_read(path, encoding)
     55             except:
     56                 with open(path, 'rb') as fh:
---> 57                     return pc.load(fh, encoding=encoding, compat=True)
     58 
     59     try:

C:\Users\test\Anaconda3\lib\site-packages\pandas\compat\pickle_compat.py in load(fh, encoding, compat, is_verbose)
    114         up.is_verbose = is_verbose
    115 
--> 116         return up.load()
    117     except:
    118         raise

C:\Users\test\Anaconda3\lib\pickle.py in load(self)
   1037                     raise EOFError
   1038                 assert isinstance(key, bytes_types)
-> 1039                 dispatch[key[0]](self)
   1040         except _Stop as stopinst:
   1041             return stopinst.value

C:\Users\test\Anaconda3\lib\pickle.py in load_stack_global(self)
   1341         if type(name) is not str or type(module) is not str:
   1342             raise UnpicklingError("STACK_GLOBAL requires str")
-> 1343         self.append(self.find_class(module, name))
   1344     dispatch[STACK_GLOBAL[0]] = load_stack_global
   1345 

C:\Users\test\Anaconda3\lib\pickle.py in find_class(self, module, name)
   1382             elif module in _compat_pickle.IMPORT_MAPPING:
   1383                 module = _compat_pickle.IMPORT_MAPPING[module]
-> 1384         __import__(module, level=0)
   1385         if self.proto >= 4:
   1386             return _getattribute(sys.modules[module], name)[0]

ImportError: No module named 'pandas.indexes'

我也尝试直接从pickle加载pickle文件:

via_pickle = pickle.load( open( 'null_report.pickle', "rb" ) )

并得到了同样的错误:

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-23-ba2e3adae1c4> in <module>()
      1 
----> 2 via_pickle = pickle.load( open( 'null_report.pickle', "rb" ) )
      3 
      4 # control_data = pd.read_pickle('null_report.pickle')
      5 # test_data = pd.read_pickle('test_report.pickle')

ImportError: No module named 'pandas.indexes'

Answer 1

当我用python 2.7创建一个pkl文件并尝试用python 3.6读取它时,我遇到了这个错误:

pd.read_pickle('foo.pkl')

它起作用了

Answer 2

我尝试使用pandas 0.17.1打开使用pandas 0.18.1制作的pickle数据帧时出现此问题.如果您使用pip,请使用以下命令升级pandas:

pip install --upgrade pandas

如果您使用的是像anaconda这样的库,请使用:

conda upgrade pandas

如果您需要在您的计算机上安装两个版本的pandas,请考虑使用virtualenv

Answer 3

在不同版本的pandas使用中保存和加载pickle通常不起作用.相反,使用pandas.HDFStore.

当我需要更新pandas但还需要在以前版本中使用pickle保存的一些数据时,我返回并以HDF格式重新保存该数据,而没有其他任何工作.没问题了.

适用于任何类型的pandas数据结构,甚至是多索引数据帧!简而言之,如果版本升级后酸洗失败,请尝试HDFStore; 它更可靠(更高效!).