cPickle ImportError: No module named multiarray

问题:

I'm using cPickle to save my Database into file. The code looks like that:

def Save_DataBase(): import cPickle from scipy import * from numpy import * a=Results.VersionName #filename='D:/results/'+a[a.find('/')+1:-a.find('/')-2]+Results.AssType[:3]+str(random.randint(0,100))+Results.Distribution+".lft" filename='D:/results/pppp.lft' plik=open(filename,'w')   DataOutput=[[[DataBase.Arrays.Nodes,DataBase.Arrays.Links,DataBase.Arrays.Turns,DataBase.Arrays.Connectors,DataBase.Arrays.Zones],              [DataBase.Nodes.Data,DataBase.Links.Data,DataBase.Turns.Data,DataBase.OrigConnectors.Data,DataBase.DestConnectors.Data,DataBase.Zones.Data],              [DataBase.Nodes.DictionaryPy2Vis,DataBase.Links.DictionaryPy2Vis,DataBase.Turns.DictionaryPy2Vis,DataBase.OrigConnectors.DictionaryPy2Vis,DataBase.DestConnectors.DictionaryPy2Vis,DataBase.Zones.DictionaryPy2Vis],              [DataBase.Nodes.DictionaryVis2Py,DataBase.Links.DictionaryVis2Py,DataBase.Turns.DictionaryVis2Py,DataBase.OrigConnectors.DictionaryVis2Py,DataBase.DestConnectors.DictionaryVis2Py,DataBase.Zones.DictionaryVis2Py],              [DataBase.Paths.List]],[Results.VersionName,Results.noZones,Results.noNodes,Results.noLinks,Results.noTurns,Results.noTrips,                                      Results.Times.VersionLoad,Results.Times.GetData,Results.Times.GetCoords,Results.Times.CrossTheTime,Results.Times.Plot_Cylinder,                                      Results.AssType,Results.AssParam,Results.tStart,Results.tEnd,Results.Distribution,Results.tVector]]    cPickle.dump(DataOutput, plik, protocol=0) plik.close()` 

And it works fine. Most of my Database rows are lists of a lists, vecor-like, or array-like data sets.

But now when I input data, an error occurs:

def Load_DataBase():     import cPickle      from scipy import *     from numpy import *       filename='D:/results/pppp.lft'     plik= open(filename, 'rb')     """ first cPickle load approach """     A= cPickle.load(plik)     """ fail """     """ Another approach - data format exact as in Output step above , also fails"""     [[[DataBase.Arrays.Nodes,DataBase.Arrays.Links,DataBase.Arrays.Turns,DataBase.Arrays.Connectors,DataBase.Arrays.Zones],                  [DataBase.Nodes.Data,DataBase.Links.Data,DataBase.Turns.Data,DataBase.OrigConnectors.Data,DataBase.DestConnectors.Data,DataBase.Zones.Data],                  [DataBase.Nodes.DictionaryPy2Vis,DataBase.Links.DictionaryPy2Vis,DataBase.Turns.DictionaryPy2Vis,DataBase.OrigConnectors.DictionaryPy2Vis,DataBase.DestConnectors.DictionaryPy2Vis,DataBase.Zones.DictionaryPy2Vis],                  [DataBase.Nodes.DictionaryVis2Py,DataBase.Links.DictionaryVis2Py,DataBase.Turns.DictionaryVis2Py,DataBase.OrigConnectors.DictionaryVis2Py,DataBase.DestConnectors.DictionaryVis2Py,DataBase.Zones.DictionaryVis2Py],                  [DataBase.Paths.List]],[Results.VersionName,Results.noZones,Results.noNodes,Results.noLinks,Results.noTurns,Results.noTrips,                                          Results.Times.VersionLoad,Results.Times.GetData,Results.Times.GetCoords,Results.Times.CrossTheTime,Results.Times.Plot_Cylinder,                                          Results.AssType,Results.AssParam,Results.tStart,Results.tEnd,Results.Distribution,Results.tVector]]= cPickle.load(plik)` 

Error is (in both cases):

    Traceback (most recent call last):   File "D:\programy\projekt_eclipse\src\Praca\wx_frame.py", line 342, in LoadDatabase_Handler     Load_DataBase()   File "D:\programy\projekt_eclipse\src\Praca\wx_frame.py", line 1804, in Load_DataBase     A= cPickle.load(plik) ImportError: No module named multiarray 

Any Ideas?

PS. Now I've solved the problem, say partially :/ I needed to change the format of arrays. I've tried to trace the error, but I couldn't. The variable causing error is this (long :) ) :

[[  0.00000000e+00   0.00000000e+00   0.00000000e+00   0.00000000e+00     0.00000000e+00   0.00000000e+00   0.00000000e+00   0.00000000e+00]  [  1.00000000e+00   0.00000000e+00   0.00000000e+00   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   0.00000000e+00]  [  2.00000000e+00   0.00000000e+00   1.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   3.52875186e+04]  [  3.00000000e+00   0.00000000e+00   2.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   2.24880978e+04]  [  4.00000000e+00   0.00000000e+00   3.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   2.24880978e+04]  [  5.00000000e+00   0.00000000e+00   4.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   2.24880978e+04]  [  6.00000000e+00   0.00000000e+00   5.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   2.24880978e+04]  [  7.00000000e+00   0.00000000e+00   6.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   2.24880978e+04]  [  8.00000000e+00   0.00000000e+00   7.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   3.59846476e+04]  [  9.00000000e+00   0.00000000e+00   8.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   0.00000000e+00]  [  1.00000000e+01   1.00000000e+03   0.00000000e+00   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   3.97583022e+04]  [  1.10000000e+01   1.00000000e+03   1.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   1.84929461e+04]  [  1.20000000e+01   1.00000000e+03   2.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   8.76891311e+03]  [  1.30000000e+01   1.00000000e+03   3.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   5.10636164e+03]  [  1.40000000e+01   1.00000000e+03   4.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   2.45841100e+03]  [  1.50000000e+01   1.00000000e+03   5.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   4.22093915e+03]  [  1.60000000e+01   1.00000000e+03   6.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   9.20282091e+03]  [  1.70000000e+01   1.00000000e+03   7.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   1.86566159e+04]  [  1.80000000e+01   1.00000000e+03   8.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   3.80902598e+04]  [  1.90000000e+01   2.00000000e+03   0.00000000e+00   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   2.23193676e+04]  [  2.00000000e+01   2.00000000e+03   1.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   1.16000116e+04]  [  2.10000000e+01   2.00000000e+03   2.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   9.05680012e+03]  [  2.20000000e+01   2.00000000e+03   3.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   6.89123867e+03]  [  2.30000000e+01   2.00000000e+03   4.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   4.98898168e+03]  [  2.40000000e+01   2.00000000e+03   5.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   7.44216130e+03]  [  2.50000000e+01   2.00000000e+03   6.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   1.23593332e+04]  [  2.60000000e+01   2.00000000e+03   7.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   1.14424233e+04]  [  2.70000000e+01   2.00000000e+03   8.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   1.91864355e+04]  [  2.80000000e+01   3.00000000e+03   0.00000000e+00   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   2.07766798e+04]  [  2.90000000e+01   3.00000000e+03   1.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   8.61849685e+03]  [  3.00000000e+01   3.00000000e+03   2.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   1.09785208e+04]  [  3.10000000e+01   3.00000000e+03   3.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   8.99736773e+03]  [  3.20000000e+01   3.00000000e+03   4.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   9.06209122e+03]  [  3.30000000e+01   3.00000000e+03   5.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   9.48702707e+03]  [  3.40000000e+01   3.00000000e+03   6.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   1.04653099e+04]  [  3.50000000e+01   3.00000000e+03   7.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   6.25314801e+03]  [  3.60000000e+01   3.00000000e+03   8.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   1.67608539e+04]  [  3.70000000e+01   4.00000000e+03   0.00000000e+00   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   2.07766798e+04]  [  3.80000000e+01   4.00000000e+03   1.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   6.82241178e+03]  [  3.90000000e+01   4.00000000e+03   2.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   8.05149043e+03]  [  4.00000000e+01   4.00000000e+03   3.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   9.55692239e+03]  [  4.10000000e+01   4.00000000e+03   4.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   1.19199226e+04]  [  4.20000000e+01   4.00000000e+03   5.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   8.43876335e+03]  [  4.30000000e+01   4.00000000e+03   6.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   4.90454231e+03]  [  4.40000000e+01   4.00000000e+03   7.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   6.03525083e+03]  [  4.50000000e+01   4.00000000e+03   8.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   1.67608539e+04]  [  4.60000000e+01   5.00000000e+03   0.00000000e+00   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   2.07766798e+04]  [  4.70000000e+01   5.00000000e+03   1.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   6.07842319e+03]  [  4.80000000e+01   5.00000000e+03   2.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   6.48191278e+03]  [  4.90000000e+01   5.00000000e+03   3.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   1.06547361e+04]  [  5.00000000e+01   5.00000000e+03   4.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   1.27500595e+04]  [  5.10000000e+01   5.00000000e+03   5.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   9.62319628e+03]  [  5.20000000e+01   5.00000000e+03   6.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   6.50364667e+03]  [  5.30000000e+01   5.00000000e+03   7.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   6.48651846e+03]  [  5.40000000e+01   5.00000000e+03   8.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   1.67608539e+04]  [  5.50000000e+01   6.00000000e+03   0.00000000e+00   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   2.16862400e+04]  [  5.60000000e+01   6.00000000e+03   1.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   9.88311307e+03]  [  5.70000000e+01   6.00000000e+03   2.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   7.89923519e+03]  [  5.80000000e+01   6.00000000e+03   3.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   8.16959736e+03]  [  5.90000000e+01   6.00000000e+03   4.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   6.49942081e+03]  [  6.00000000e+01   6.00000000e+03   5.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   6.24620368e+03]  [  6.10000000e+01   6.00000000e+03   6.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   9.27811830e+03]  [  6.20000000e+01   6.00000000e+03   7.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   1.13336356e+04]  [  6.30000000e+01   6.00000000e+03   8.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   1.91853045e+04]  [  6.40000000e+01   7.00000000e+03   0.00000000e+00   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   3.67326624e+04]  [  6.50000000e+01   7.00000000e+03   1.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   1.79192625e+04]  [  6.60000000e+01   7.00000000e+03   2.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   9.35835049e+03]  [  6.70000000e+01   7.00000000e+03   3.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   4.66349011e+03]  [  6.80000000e+01   7.00000000e+03   4.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   1.88664273e+03]  [  6.90000000e+01   7.00000000e+03   5.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   4.15546726e+03]  [  7.00000000e+01   7.00000000e+03   6.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   9.26420582e+03]  [  7.10000000e+01   7.00000000e+03   7.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   1.80179725e+04]  [  7.20000000e+01   7.00000000e+03   8.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   3.69846102e+04]  [  7.30000000e+01   8.00000000e+03   0.00000000e+00   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   0.00000000e+00]  [  7.40000000e+01   8.00000000e+03   1.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   3.66207833e+04]  [  7.50000000e+01   8.00000000e+03   2.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   2.32529854e+04]  [  7.60000000e+01   8.00000000e+03   3.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   2.32529854e+04]  [  7.70000000e+01   8.00000000e+03   4.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   2.32529854e+04]  [  7.80000000e+01   8.00000000e+03   5.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   2.32529854e+04]  [  7.90000000e+01   8.00000000e+03   6.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   2.32529854e+04]  [  8.00000000e+01   8.00000000e+03   7.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   3.70098656e+04]  [  8.10000000e+01   8.00000000e+03   8.00000000e+03   2.00000000e+01     0.00000000e+00   5.00000000e+02   2.00000000e+01   0.00000000e+00]] 

cPickle, or pickle are unable to load it. But when I do it manually with the console, the same file structure ( [[ ]] and all formats exaclty the same, values also e+00 format) Then it works fine ??????????? What the hell? Anyway I've solved the problem by changign data format :/

回答1:

I had the same problem on a Windows XP machine with Code that worked fine under Linux. It may have to do with the different handling of text and binary files. When writing your data try to create the file object explicitly stating that you want binary mode, i.e.

plik=open(filename,'wb') 

instead of

plik=open(filename,'w') 

That worked for me.

回答2:

First of all check if $YOUR_PYTHON_INSTALLATION/lib/python-x.x/site-packages/numpy/core/multiarray.so file exists.

And it would be very useful if you posted full traceback, not only the error message.

回答3:

Have you tried importing multiarray explicitly? pickle needs all the classes to be defined in order to import the data.

回答4:

This can be caused by git changing line endings on a Windows machine with autocrlf. You'll notice that it won't be a problem until you change branches or do anything else that deletes and rewrites the file on disk. Add this line to your .gitattributes file to avoid rewriting line endings in the text-like (but actually binary!) pickle files:

# .gitattributes # Pickle files are to be treated as binary.  *.p binary *.lft binary 

回答5:

Could you please post the full traceback as it might be useful to see where this error is coming from. Also, could you please provide a traceback for the save case, I wonder whether it happens during the serialization or somewhere earlier.

回答6:

You must be using a very old Python. Because 'import *' is only available at module level. Anyway, to answer your question:

Move these statements

import cPickle  from scipy import * from numpy import * 

out of the Load_DataBase definition and you'll be fine. The exception was raised because cPickle can't find the meta information for the content of plik.

文章来源: cPickle ImportError: No module named multiarray