title: cPickle ImportError: No module named multiarray
body: <p>I'm using cPickle to save my Database into file. The code looks like that:</p>
  
  <pre><code>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()`
  </code></pre>
  
  <p>And it works fine. Most of my Database rows are lists of a lists, vecor-like, or array-like data sets.</p>
  
  <p>But now when I input data, an error occurs:</p>
  
  <pre><code>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)`
  </code></pre>
  
  <p>Error is (in both cases):</p>
  
  <pre><code>    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
  </code></pre>
  
  <p>Any Ideas?</p>
  
  <p>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 :) )  :</p>
  
  <pre><code>[[  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]]
  </code></pre>
  
  <p>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 :/          </p>