I write a numeric dataframe to .pkl file in a machine (df.to_pickle()), for some reason, I have to open this file in a different machine (pd.read_pickle()), I get an Import Error saying: No module named indexes.base, and when I try to import indexes, there doesn't seem to have one.
When I tried to_csv in a machine and read_csv in a different one, it worked.
Many Thanks!
ImportError Traceback (most recent call last)
<ipython-input-199-2be4778e3b0a> in <module>()
----> 1 pd.read_pickle("test.pkl")
C:\Users\AppData\Local\Continuum\Anaconda2\lib\site-packages\pandas\io\pickle.pyc in read_pickle(path)
58
59 try:
---> 60 return try_read(path)
61 except:
62 if PY3:
C:\Users\AppData\Local\Continuum\Anaconda2\lib\site-packages\pandas\io\pickle.pyc 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\AppData\Local\Continuum\Anaconda2\lib\site-packages\pandas\compat\pickle_compat.pyc in load(fh, encoding, compat, is_verbose)
114 up.is_verbose = is_verbose
115
--> 116 return up.load()
117 except:
118 raise
C:\Users\AppData\Local\Continuum\Anaconda2\lib\pickle.pyc in load(self)
856 while 1:
857 key = read(1)
--> 858 dispatch[key](self)
859 except _Stop, stopinst:
860 return stopinst.value
C:\Users\AppData\Local\Continuum\Anaconda2\lib\pickle.pyc in load_global(self)
1088 module = self.readline()[:-1]
1089 name = self.readline()[:-1]
--> 1090 klass = self.find_class(module, name)
1091 self.append(klass)
1092 dispatch[GLOBAL] = load_global
C:\Users\AppData\Local\Continuum\Anaconda2\lib\pickle.pyc in find_class(self, module, name)
1122 def find_class(self, module, name):
1123 # Subclasses may override this
--> 1124 __import__(module)
1125 mod = sys.modules[module]
1126 klass = getattr(mod, name)
ImportError: No module named indexes.base
This error can be caused by a version mismatch between the version of pandas used to save the dataframe and the version of pandas used to load it.
Please check the Python and Pandas version in both the machines.
Also, if versions are same, can you please share the dataframe that you used with to_pickle(), so that we can look into it.
Using pd.read_pickle
can also help backwards compatibility if you are trying to read a dataframe only. See github issue.
I unfortunately have a dictionary of dataframes, so am going to try to use a virtual environment with an older version to load, re-save only the dataframes, and then use pd.read_pickle
.
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