Anaconda Python 3.5脚本的问题

Question

Having an issue with a fresh install of Anaconda. I created an environment with Python 3.5 and trying to run a simple script but for whatever reason I am seeing an issue during the import statements.

import os
import csv
import numpy as np
import scipy

So there are other reports of similar errors on SO but they are from awhile back and do not seem to be linked to Anaconda. I have NOT seen this before on my laptop )running el capitan) also running miniconda (btw this is happening on a mac osx el capitan). I cannot understand why anaconda would try calling usr/local/lib/python2.7 while the environment is in python 3.5. Is this normal? Any assistance would be greatly appreciated!!!

    Traceback (most recent call last):
  File "myTest.py", line 11, in <module>
    import scipy
  File "/Users/dennis/anaconda/envs/test/lib/python3.5/site-packages/scipy/__init__.py", line 61, in <module>
    from numpy import show_config as show_numpy_config
  File "/usr/local/lib/python2.7/site-packages/numpy/__init__.py", line 180, in <module>
    from . import add_newdocs
  File "/usr/local/lib/python2.7/site-packages/numpy/add_newdocs.py", line 13, in <module>
    from numpy.lib import add_newdoc
  File "/usr/local/lib/python2.7/site-packages/numpy/lib/__init__.py", line 8, in <module>
    from .type_check import *
  File "/usr/local/lib/python2.7/site-packages/numpy/lib/type_check.py", line 11, in <module>
    import numpy.core.numeric as _nx
  File "/usr/local/lib/python2.7/site-packages/numpy/core/__init__.py", line 14, in <module>
    from . import multiarray
ImportError: dlopen(/usr/local/lib/python2.7/site-packages/numpy/core/multiarray.so, 2): Symbol not found: _PyBuffer_Type
  Referenced from: /usr/local/lib/python2.7/site-packages/numpy/core/multiarray.so
  Expected in: flat namespace
 in /usr/local/lib/python2.7/site-packages/numpy/core/multiarray.so

Answer 1

Well after digging around and trying to solve this issue most of last night I could not come up with much. I must have done something to my environment (I had done some builds of a couple of libraries from source)...anyway worst StackOverflow answer of all time, I used my TimeMachine to reset my mac back a week and the issue is gone. I guess the lesson is even if you are using environments in anaconda backups still cannot be beat.