ImportError: DLL load failed when importing Numpy installed in conda virtual environment
In Windows, I created a Conda virtual environment with the command
conda create -n test python=2.7 pandas scipy matplotlib numpy
Once it is created, I activated the virtual environment and went into a python interpreter. When trying to import numpy, I get the following error:
>>> import numpy
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Anaconda3\envs\test\lib\site-packages\numpy\__init__.py", line 180, in <module>
from . import add_newdocs
File "C:\Anaconda3\envs\test\lib\site-packages\numpy\add_newdocs.py", line 13, in <module>
from numpy.lib import add_newdoc
File "C:\Anaconda3\envs\test\lib\site-packages\numpy\lib\__init__.py", line 8,
in <module>
from .type_check import *
File "C:\Anaconda3\envs\test\lib\site-packages\numpy\lib\type_check.py", line 11, in <module>
import numpy.core.numeric as _nx
File "C:\Anaconda3\envs\test\lib\site-packages\numpy\core\__init__.py", line 14, in <module>
from . import multiarray
ImportError: DLL load failed: The specified module could not be found.
Any ideas what is going on here? Thanks!
Solution 1:
Uninstall and install numpy again.
pip uninstall numpy
pip install numpy
Then try import again, it should work. That is what I did
Solution 2:
Unlike @Rafael, for me, libiomp5md.dll
wasn't the issue. I installed Dependency Walker to investigate what was going on. Even though the dll versions were different, but Dependency Walker said it was okay.
What was wrong though, was that mkl_intel_thread.dll
had warnings (red icon). If you're using Win 8++, ignore the api-win
and ext-ms
issues as Dependency Walker wasn't updated for new Windows versions and doesn't recognise Windows new APIs.
My solution is to copy all mkl_*.dlls
from the former to the latter:
- \Anaconda2\Library\bin
- \Anaconda2\Lib\site-packages\numpy\core
I was able to import numpy and sklearn after that.
Solution 3:
It seems the proper way to fix this is to do:
conda install msvc_runtime
If you are in a virtual environment, add this package there.