Why python3.5 links python2.7's numpy?

Question

Update the problem:

I use

sudo python3
>>import numpy

It works!

And I use the suggestion of below comments :

delete the /usr/local/lib/python2.7/site-packages in path.

and the problem solved!

======== the old problem ===========

I'm using Mac OS El Capitan.

The Python2.7 is the default version; python3.5 is installed from the official site python3.5 for mac .

I have already installed numpy in python2.7. Now I need to install numpy in python3.5.

I use:

pip3 install numpy

which return

"Requirement already satisfied (use --upgrade to upgrade): numpy in /usr/local/lib/python2.7/site-packages"

and when I run

python3
>>import numpy

in python3

it outputs:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python2.7/site-packages/numpy/__init__.py", line 170, 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 6, 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

It link the 2.7 package.. and show error.

(Similar Problem happens when I install scipy and sklearn)

How to solve the problem?

Answer 1

I ran into the same problem. Uninstalling numpy using pip3, and reinstalling, fixed the issue.

pip3 uninstall numpy pip3 install numpy

Answer 2

An easy way to avoid this is to install all these modules using anaconda. https://www.continuum.io/downloads It will avoid you the headache of installing manually.