I just installed a python3.9 environment for conda
. It works for base python but apparently not for numpy
. The error is "Reason: Image not found":
The installation of numpy
had been successful:
conda install numpy
The following NEW packages will be INSTALLED:
blas conda-forge/osx-64::blas-2.106-openblas
libblas conda-forge/osx-64::libblas-3.9.0-6_openblas
libcblas conda-forge/osx-64::libcblas-3.9.0-6_openblas
libgfortran conda-forge/osx-64::libgfortran-5.0.0-9_3_0_h6c81a4c_18
libgfortran5 conda-forge/osx-64::libgfortran5-9.3.0-h6c81a4c_18
liblapack conda-forge/osx-64::liblapack-3.9.0-6_openblas
liblapacke conda-forge/osx-64::liblapacke-3.9.0-6_openblas
libopenblas conda-forge/osx-64::libopenblas-0.3.12-openmp_h54245bb_1
llvm-openmp conda-forge/osx-64::llvm-openmp-11.0.1-h7c73e74_0
numpy pkgs/main/osx-64::numpy-1.19.2-py39h0fa1045_0
numpy-base pkgs/main/osx-64::numpy-base-1.19.2-py39h3a452eb_0
Proceed ([y]/n)?
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
The installation conda install ipython
was also successful. But ipython
is not working:
$ipython
Python 3.9.1 (default, Dec 11 2020, 06:28:49)
Type 'copyright', 'credits' or 'license' for more information
IPython 7.20.0 -- An enhanced Interactive Python. Type '?' for help.
In [1]: import numpy as np
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
~/miniconda3/envs/python39/lib/python3.9/site-packages/numpy/core/__init__.py in <module>
21 try:
---> 22 from . import multiarray
23 except ImportError as exc:
~/miniconda3/envs/python39/lib/python3.9/site-packages/numpy/core/multiarray.py in <module>
11
---> 12 from . import overrides
13 from . import _multiarray_umath
~/miniconda3/envs/python39/lib/python3.9/site-packages/numpy/core/overrides.py in <module>
6
----> 7 from numpy.core._multiarray_umath import (
8 add_docstring, implement_array_function, _get_implementing_args)
ImportError: dlopen(/Users/steve/miniconda3/envs/python39/lib/python3.9/site-packages/numpy/core/_multiarray_umath.cpython-39-darwin.so, 2): Library not loaded: @rpath/libopenblas.dylib
Referenced from: /Users/steve/miniconda3/envs/python39/lib/python3.9/site-packages/numpy/core/_multiarray_umath.cpython-39-darwin.so
Reason: image not found
During handling of the above exception, another exception occurred:
ImportError Traceback (most recent call last)
<ipython-input-1-0aa0b027fcb6> in <module>
----> 1 import numpy as np
~/miniconda3/envs/python39/lib/python3.9/site-packages/numpy/__init__.py in <module>
138 from . import _distributor_init
139
--> 140 from . import core
141 from .core import *
142 from . import compat
~/miniconda3/envs/python39/lib/python3.9/site-packages/numpy/core/__init__.py in <module>
46 """ % (sys.version_info[0], sys.version_info[1], sys.executable,
47 __version__, exc)
---> 48 raise ImportError(msg)
49 finally:
50 for envkey in env_added:
ImportError:
IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!
Importing the numpy C-extensions failed. This error can happen for
many reasons, often due to issues with your setup or how NumPy was
installed.
We have compiled some common reasons and troubleshooting tips at:
https://numpy.org/devdocs/user/troubleshooting-importerror.html
Please note and check the following:
* The Python version is: Python3.9 from "/Users/steve/miniconda3/envs/python39/bin/python"
* The NumPy version is: "1.19.2"
and make sure that they are the versions you expect.
Please carefully study the documentation linked above for further help.
Original error was: dlopen(/Users/steve/miniconda3/envs/python39/lib/python3.9/site-packages/numpy/core/_multiarray_umath.cpython-39-darwin.so, 2): Library not loaded: @rpath/libopenblas.dylib
Referenced from: /Users/steve/miniconda3/envs/python39/lib/python3.9/site-packages/numpy/core/_multiarray_umath.cpython-39-darwin.so
Reason: image not found
I am on macOS Catalina
.
One possible issues is channel mixing. Different channels often use different build stacks, which can result in referencing different symbols in linked libraries. In this case, try ensuring everything comes from conda-forge, e.g.
conda install -c conda-forge conda-forge::numpy
Longer term, maybe consider adding conda-forge to the global channels configuration and possibly setting priority to "strict"
. See conda config --describe channels channel_priority
. Also, the --env
flag can be useful for changing such settings in an environment specific way.
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