Pip numpy install error

Hi guys, I just change my workstation and need to install again all my deps, Trying to run pip3 install numpy, pip3 install pandas and etc, I'm getting an error about "Command "python...

Hi @seberg and @ksunden

Run the code with no cache dir param but no success, on the first moment, looks good but the same error. Also, I already have the Anaconda, this was my first workaround for the issue, once I need python for my test on university
`C:UsersLeo>pip3 install numpy —no-cache-dir
Collecting numpy
Downloading https://files.pythonhosted.org/packages/93/48/956b9dcdddfcedb1705839280e02cbfeb2861ed5d7f59241210530867d5b/numpy-1.16.3.zip (5.1MB)
|████████████████████████████████| 5.1MB 3.2MB/s
Building wheels for collected packages: numpy
Building wheel for numpy (setup.py) … error
ERROR: Complete output from command ‘c:usersleoappdatalocalprogramspythonpython38python.exe’ -u -c ‘import setuptools, tokenize;file='»‘»‘C:UsersLeoAppDataLocalTemppip-install-cy037osinumpysetup.py'»‘»‘;f=getattr(tokenize, ‘»‘»‘open'»‘»‘, open)(file);code=f.read().replace(‘»‘»‘rn'»‘»‘, ‘»‘»‘n'»‘»‘);f.close();exec(compile(code, file, ‘»‘»‘exec'»‘»‘))’ bdist_wheel -d ‘C:UsersLeoAppDataLocalTemppip-wheel-otjo0nri’ —python-tag cp38:
ERROR: Running from numpy source directory.
C:UsersLeoAppDataLocalTemppip-install-cy037osinumpynumpydistutilsmisc_util.py:476: SyntaxWarning: «is» with a literal. Did you mean «==»?
return is_string(s) and (‘*’ in s or ‘?’ is s)
blas_opt_info:
blas_mkl_info:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries mkl_rt not found in [‘c:usersleoappdatalocalprogramspythonpython38lib’, ‘C:’, ‘c:usersleoappdatalocalprogramspythonpython38libs’]
NOT AVAILABLE

blis_info:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries blis not found in [‘c:usersleoappdatalocalprogramspythonpython38lib’, ‘C:’, ‘c:usersleoappdatalocalprogramspythonpython38libs’]
NOT AVAILABLE

openblas_info:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries openblas not found in [‘c:usersleoappdatalocalprogramspythonpython38lib’, ‘C:’, ‘c:usersleoappdatalocalprogramspythonpython38libs’]
get_default_fcompiler: matching types: ‘[‘gnu’, ‘intelv’, ‘absoft’, ‘compaqv’, ‘intelev’, ‘gnu95’, ‘g95’, ‘intelvem’, ‘intelem’, ‘flang’]’
customize GnuFCompiler
Could not locate executable g77
Could not locate executable f77
customize IntelVisualFCompiler
Could not locate executable ifort
Could not locate executable ifl
customize AbsoftFCompiler
Could not locate executable f90
customize CompaqVisualFCompiler
Could not locate executable DF
customize IntelItaniumVisualFCompiler
Could not locate executable efl
customize Gnu95FCompiler
Could not locate executable gfortran
Could not locate executable f95
customize G95FCompiler
Could not locate executable g95
customize IntelEM64VisualFCompiler
customize IntelEM64TFCompiler
Could not locate executable efort
Could not locate executable efc
customize PGroupFlangCompiler
Could not locate executable flang
don’t know how to compile Fortran code on platform ‘nt’
NOT AVAILABLE

atlas_3_10_blas_threads_info:
Setting PTATLAS=ATLAS
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries tatlas not found in [‘c:usersleoappdatalocalprogramspythonpython38lib’, ‘C:’, ‘c:usersleoappdatalocalprogramspythonpython38libs’]
NOT AVAILABLE

atlas_3_10_blas_info:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries satlas not found in [‘c:usersleoappdatalocalprogramspythonpython38lib’, ‘C:’, ‘c:usersleoappdatalocalprogramspythonpython38libs’]
NOT AVAILABLE

atlas_blas_threads_info:
Setting PTATLAS=ATLAS
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries ptf77blas,ptcblas,atlas not found in [‘c:usersleoappdatalocalprogramspythonpython38lib’, ‘C:’, ‘c:usersleoappdatalocalprogramspythonpython38libs’]
NOT AVAILABLE

atlas_blas_info:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries f77blas,cblas,atlas not found in [‘c:usersleoappdatalocalprogramspythonpython38lib’, ‘C:’, ‘c:usersleoappdatalocalprogramspythonpython38libs’]
NOT AVAILABLE

accelerate_info:
NOT AVAILABLE

C:UsersLeoAppDataLocalTemppip-install-cy037osinumpynumpydistutilssystem_info.py:638: UserWarning:
Atlas (http://math-atlas.sourceforge.net/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [atlas]) or by setting
the ATLAS environment variable.
self.calc_info()
blas_info:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries blas not found in [‘c:usersleoappdatalocalprogramspythonpython38lib’, ‘C:’, ‘c:usersleoappdatalocalprogramspythonpython38libs’]
NOT AVAILABLE

C:UsersLeoAppDataLocalTemppip-install-cy037osinumpynumpydistutilssystem_info.py:638: UserWarning:
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
self.calc_info()
blas_src_info:
NOT AVAILABLE

C:UsersLeoAppDataLocalTemppip-install-cy037osinumpynumpydistutilssystem_info.py:638: UserWarning:
Blas (http://www.netlib.org/blas/) sources not found.
Directories to search for the sources can be specified in the
numpy/distutils/site.cfg file (section [blas_src]) or by setting
the BLAS_SRC environment variable.
self.calc_info()
NOT AVAILABLE

‘svnversion’ nÆo ‚ reconhecido como um comando interno
ou externo, um programa oper vel ou um arquivo em lotes.
non-existing path in ‘numpydistutils’: ‘site.cfg’
lapack_opt_info:
lapack_mkl_info:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries mkl_rt not found in [‘c:usersleoappdatalocalprogramspythonpython38lib’, ‘C:’, ‘c:usersleoappdatalocalprogramspythonpython38libs’]
NOT AVAILABLE

openblas_lapack_info:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries openblas not found in [‘c:usersleoappdatalocalprogramspythonpython38lib’, ‘C:’, ‘c:usersleoappdatalocalprogramspythonpython38libs’]
NOT AVAILABLE

openblas_clapack_info:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries openblas,lapack not found in [‘c:usersleoappdatalocalprogramspythonpython38lib’, ‘C:’, ‘c:usersleoappdatalocalprogramspythonpython38libs’]
NOT AVAILABLE

atlas_3_10_threads_info:
Setting PTATLAS=ATLAS
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries lapack_atlas not found in c:usersleoappdatalocalprogramspythonpython38lib
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries tatlas,tatlas not found in c:usersleoappdatalocalprogramspythonpython38lib
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries lapack_atlas not found in C:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries tatlas,tatlas not found in C:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries lapack_atlas not found in c:usersleoappdatalocalprogramspythonpython38libs
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries tatlas,tatlas not found in c:usersleoappdatalocalprogramspythonpython38libs
<class ‘numpy.distutils.system_info.atlas_3_10_threads_info’>
NOT AVAILABLE

atlas_3_10_info:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries lapack_atlas not found in c:usersleoappdatalocalprogramspythonpython38lib
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries satlas,satlas not found in c:usersleoappdatalocalprogramspythonpython38lib
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries lapack_atlas not found in C:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries satlas,satlas not found in C:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries lapack_atlas not found in c:usersleoappdatalocalprogramspythonpython38libs
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries satlas,satlas not found in c:usersleoappdatalocalprogramspythonpython38libs
<class ‘numpy.distutils.system_info.atlas_3_10_info’>
NOT AVAILABLE

atlas_threads_info:
Setting PTATLAS=ATLAS
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries lapack_atlas not found in c:usersleoappdatalocalprogramspythonpython38lib
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries ptf77blas,ptcblas,atlas not found in c:usersleoappdatalocalprogramspythonpython38lib
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries lapack_atlas not found in C:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries ptf77blas,ptcblas,atlas not found in C:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries lapack_atlas not found in c:usersleoappdatalocalprogramspythonpython38libs
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries ptf77blas,ptcblas,atlas not found in c:usersleoappdatalocalprogramspythonpython38libs
<class ‘numpy.distutils.system_info.atlas_threads_info’>
NOT AVAILABLE

atlas_info:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries lapack_atlas not found in c:usersleoappdatalocalprogramspythonpython38lib
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries f77blas,cblas,atlas not found in c:usersleoappdatalocalprogramspythonpython38lib
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries lapack_atlas not found in C:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries f77blas,cblas,atlas not found in C:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries lapack_atlas not found in c:usersleoappdatalocalprogramspythonpython38libs
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries f77blas,cblas,atlas not found in c:usersleoappdatalocalprogramspythonpython38libs
<class ‘numpy.distutils.system_info.atlas_info’>
NOT AVAILABLE

lapack_info:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries lapack not found in [‘c:usersleoappdatalocalprogramspythonpython38lib’, ‘C:’, ‘c:usersleoappdatalocalprogramspythonpython38libs’]
NOT AVAILABLE

C:UsersLeoAppDataLocalTemppip-install-cy037osinumpynumpydistutilssystem_info.py:638: UserWarning:
Lapack (http://www.netlib.org/lapack/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [lapack]) or by setting
the LAPACK environment variable.
self.calc_info()
lapack_src_info:
NOT AVAILABLE

C:UsersLeoAppDataLocalTemppip-install-cy037osinumpynumpydistutilssystem_info.py:638: UserWarning:
Lapack (http://www.netlib.org/lapack/) sources not found.
Directories to search for the sources can be specified in the
numpy/distutils/site.cfg file (section [lapack_src]) or by setting
the LAPACK_SRC environment variable.
self.calc_info()
NOT AVAILABLE

c:usersleoappdatalocalprogramspythonpython38libdistutilsdist.py:274: UserWarning: Unknown distribution option: ‘define_macros’
warnings.warn(msg)
running bdist_wheel
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands —compiler options
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands —fcompiler options
running build_src
build_src
building py_modules sources
creating build
creating buildsrc.win-amd64-3.8
creating buildsrc.win-amd64-3.8numpy
creating buildsrc.win-amd64-3.8numpydistutils
building library «npymath» sources
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
error: Microsoft Visual C++ 14.0 is required. Get it with «Microsoft Visual C++ Build Tools»: https://visualstudio.microsoft.com/downloads/

ERROR: Failed building wheel for numpy
Running setup.py clean for numpy
ERROR: Complete output from command ‘c:usersleoappdatalocalprogramspythonpython38python.exe’ -u -c ‘import setuptools, tokenize;file='»‘»‘C:UsersLeoAppDataLocalTemppip-install-cy037osinumpysetup.py'»‘»‘;f=getattr(tokenize, ‘»‘»‘open'»‘»‘, open)(file);code=f.read().replace(‘»‘»‘rn'»‘»‘, ‘»‘»‘n'»‘»‘);f.close();exec(compile(code, file, ‘»‘»‘exec'»‘»‘))’ clean —all:
ERROR: Running from numpy source directory.

setup.py clean is not supported, use one of the following instead:

- `git clean -xdf` (cleans all files)
- `git clean -Xdf` (cleans all versioned files, doesn't touch
                    files that aren't checked into the git repo)

Add --force to your command to use it anyway if you must (unsupported).


ERROR: Failed cleaning build dir for numpy
Failed to build numpy
Installing collected packages: numpy
Running setup.py install for numpy … error
ERROR: Complete output from command ‘c:usersleoappdatalocalprogramspythonpython38python.exe’ -u -c ‘import setuptools, tokenize;file='»‘»‘C:UsersLeoAppDataLocalTemppip-install-cy037osinumpysetup.py'»‘»‘;f=getattr(tokenize, ‘»‘»‘open'»‘»‘, open)(file);code=f.read().replace(‘»‘»‘rn'»‘»‘, ‘»‘»‘n'»‘»‘);f.close();exec(compile(code, file, ‘»‘»‘exec'»‘»‘))’ install —record ‘C:UsersLeoAppDataLocalTemppip-record-sy0t4rybinstall-record.txt’ —single-version-externally-managed —compile:
ERROR: Running from numpy source directory.

Note: if you need reliable uninstall behavior, then install
with pip instead of using `setup.py install`:

  - `pip install .`       (from a git repo or downloaded source
                           release)
  - `pip install numpy`   (last NumPy release on PyPi)


blas_opt_info:
blas_mkl_info:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries mkl_rt not found in ['c:\users\leo\appdata\local\programs\python\python38\lib', 'C:\', 'c:\users\leo\appdata\local\programs\python\python38\libs']
  NOT AVAILABLE

blis_info:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries blis not found in ['c:\users\leo\appdata\local\programs\python\python38\lib', 'C:\', 'c:\users\leo\appdata\local\programs\python\python38\libs']
  NOT AVAILABLE

openblas_info:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries openblas not found in ['c:\users\leo\appdata\local\programs\python\python38\lib', 'C:\', 'c:\users\leo\appdata\local\programs\python\python38\libs']
get_default_fcompiler: matching types: '['gnu', 'intelv', 'absoft', 'compaqv', 'intelev', 'gnu95', 'g95', 'intelvem', 'intelem', 'flang']'
customize GnuFCompiler
Could not locate executable g77
Could not locate executable f77
customize IntelVisualFCompiler
Could not locate executable ifort
Could not locate executable ifl
customize AbsoftFCompiler
Could not locate executable f90
customize CompaqVisualFCompiler
Could not locate executable DF
customize IntelItaniumVisualFCompiler
Could not locate executable efl
customize Gnu95FCompiler
Could not locate executable gfortran
Could not locate executable f95
customize G95FCompiler
Could not locate executable g95
customize IntelEM64VisualFCompiler
customize IntelEM64TFCompiler
Could not locate executable efort
Could not locate executable efc
customize PGroupFlangCompiler
Could not locate executable flang
don't know how to compile Fortran code on platform 'nt'
  NOT AVAILABLE

atlas_3_10_blas_threads_info:
Setting PTATLAS=ATLAS
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries tatlas not found in ['c:\users\leo\appdata\local\programs\python\python38\lib', 'C:\', 'c:\users\leo\appdata\local\programs\python\python38\libs']
  NOT AVAILABLE

atlas_3_10_blas_info:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries satlas not found in ['c:\users\leo\appdata\local\programs\python\python38\lib', 'C:\', 'c:\users\leo\appdata\local\programs\python\python38\libs']
  NOT AVAILABLE

atlas_blas_threads_info:
Setting PTATLAS=ATLAS
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries ptf77blas,ptcblas,atlas not found in ['c:\users\leo\appdata\local\programs\python\python38\lib', 'C:\', 'c:\users\leo\appdata\local\programs\python\python38\libs']
  NOT AVAILABLE

atlas_blas_info:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries f77blas,cblas,atlas not found in ['c:\users\leo\appdata\local\programs\python\python38\lib', 'C:\', 'c:\users\leo\appdata\local\programs\python\python38\libs']
  NOT AVAILABLE

accelerate_info:
  NOT AVAILABLE

C:UsersLeoAppDataLocalTemppip-install-cy037osinumpynumpydistutilssystem_info.py:638: UserWarning:
    Atlas (http://math-atlas.sourceforge.net/) libraries not found.
    Directories to search for the libraries can be specified in the
    numpy/distutils/site.cfg file (section [atlas]) or by setting
    the ATLAS environment variable.
  self.calc_info()
blas_info:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries blas not found in ['c:\users\leo\appdata\local\programs\python\python38\lib', 'C:\', 'c:\users\leo\appdata\local\programs\python\python38\libs']
  NOT AVAILABLE

C:UsersLeoAppDataLocalTemppip-install-cy037osinumpynumpydistutilssystem_info.py:638: UserWarning:
    Blas (http://www.netlib.org/blas/) libraries not found.
    Directories to search for the libraries can be specified in the
    numpy/distutils/site.cfg file (section [blas]) or by setting
    the BLAS environment variable.
  self.calc_info()
blas_src_info:
  NOT AVAILABLE

C:UsersLeoAppDataLocalTemppip-install-cy037osinumpynumpydistutilssystem_info.py:638: UserWarning:
    Blas (http://www.netlib.org/blas/) sources not found.
    Directories to search for the sources can be specified in the
    numpy/distutils/site.cfg file (section [blas_src]) or by setting
    the BLAS_SRC environment variable.
  self.calc_info()
  NOT AVAILABLE

'svnversion' nÆo ‚ reconhecido como um comando interno
ou externo, um programa oper vel ou um arquivo em lotes.
non-existing path in 'numpy\distutils': 'site.cfg'
lapack_opt_info:
lapack_mkl_info:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries mkl_rt not found in ['c:\users\leo\appdata\local\programs\python\python38\lib', 'C:\', 'c:\users\leo\appdata\local\programs\python\python38\libs']
  NOT AVAILABLE

openblas_lapack_info:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries openblas not found in ['c:\users\leo\appdata\local\programs\python\python38\lib', 'C:\', 'c:\users\leo\appdata\local\programs\python\python38\libs']
  NOT AVAILABLE

openblas_clapack_info:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries openblas,lapack not found in ['c:\users\leo\appdata\local\programs\python\python38\lib', 'C:\', 'c:\users\leo\appdata\local\programs\python\python38\libs']
  NOT AVAILABLE

atlas_3_10_threads_info:
Setting PTATLAS=ATLAS
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries lapack_atlas not found in c:usersleoappdatalocalprogramspythonpython38lib
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries tatlas,tatlas not found in c:usersleoappdatalocalprogramspythonpython38lib
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries lapack_atlas not found in C:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries tatlas,tatlas not found in C:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries lapack_atlas not found in c:usersleoappdatalocalprogramspythonpython38libs
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries tatlas,tatlas not found in c:usersleoappdatalocalprogramspythonpython38libs
<class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
  NOT AVAILABLE

atlas_3_10_info:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries lapack_atlas not found in c:usersleoappdatalocalprogramspythonpython38lib
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries satlas,satlas not found in c:usersleoappdatalocalprogramspythonpython38lib
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries lapack_atlas not found in C:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries satlas,satlas not found in C:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries lapack_atlas not found in c:usersleoappdatalocalprogramspythonpython38libs
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries satlas,satlas not found in c:usersleoappdatalocalprogramspythonpython38libs
<class 'numpy.distutils.system_info.atlas_3_10_info'>
  NOT AVAILABLE

atlas_threads_info:
Setting PTATLAS=ATLAS
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries lapack_atlas not found in c:usersleoappdatalocalprogramspythonpython38lib
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries ptf77blas,ptcblas,atlas not found in c:usersleoappdatalocalprogramspythonpython38lib
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries lapack_atlas not found in C:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries ptf77blas,ptcblas,atlas not found in C:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries lapack_atlas not found in c:usersleoappdatalocalprogramspythonpython38libs
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries ptf77blas,ptcblas,atlas not found in c:usersleoappdatalocalprogramspythonpython38libs
<class 'numpy.distutils.system_info.atlas_threads_info'>
  NOT AVAILABLE

atlas_info:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries lapack_atlas not found in c:usersleoappdatalocalprogramspythonpython38lib
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries f77blas,cblas,atlas not found in c:usersleoappdatalocalprogramspythonpython38lib
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries lapack_atlas not found in C:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries f77blas,cblas,atlas not found in C:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries lapack_atlas not found in c:usersleoappdatalocalprogramspythonpython38libs
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries f77blas,cblas,atlas not found in c:usersleoappdatalocalprogramspythonpython38libs
<class 'numpy.distutils.system_info.atlas_info'>
  NOT AVAILABLE

lapack_info:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
  libraries lapack not found in ['c:\users\leo\appdata\local\programs\python\python38\lib', 'C:\', 'c:\users\leo\appdata\local\programs\python\python38\libs']
  NOT AVAILABLE

C:UsersLeoAppDataLocalTemppip-install-cy037osinumpynumpydistutilssystem_info.py:638: UserWarning:
    Lapack (http://www.netlib.org/lapack/) libraries not found.
    Directories to search for the libraries can be specified in the
    numpy/distutils/site.cfg file (section [lapack]) or by setting
    the LAPACK environment variable.
  self.calc_info()
lapack_src_info:
  NOT AVAILABLE

C:UsersLeoAppDataLocalTemppip-install-cy037osinumpynumpydistutilssystem_info.py:638: UserWarning:
    Lapack (http://www.netlib.org/lapack/) sources not found.
    Directories to search for the sources can be specified in the
    numpy/distutils/site.cfg file (section [lapack_src]) or by setting
    the LAPACK_SRC environment variable.
  self.calc_info()
  NOT AVAILABLE

c:usersleoappdatalocalprogramspythonpython38libdistutilsdist.py:274: UserWarning: Unknown distribution option: 'define_macros'
  warnings.warn(msg)
running install
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands --compiler options
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
running build_src
build_src
building py_modules sources
building library "npymath" sources
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
error: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft Visual C++ Build Tools": https://visualstudio.microsoft.com/downloads/
----------------------------------------

ERROR: Command «‘c:usersleoappdatalocalprogramspythonpython38python.exe’ -u -c ‘import setuptools, tokenize;file='»‘»‘C:UsersLeoAppDataLocalTemppip-install-cy037osinumpysetup.py'»‘»‘;f=getattr(tokenize, ‘»‘»‘open'»‘»‘, open)(file);code=f.read().replace(‘»‘»‘rn'»‘»‘, ‘»‘»‘n'»‘»‘);f.close();exec(compile(code, file, ‘»‘»‘exec'»‘»‘))’ install —record ‘C:UsersLeoAppDataLocalTemppip-record-sy0t4rybinstall-record.txt’ —single-version-externally-managed —compile» failed with error code 1 in C:UsersLeoAppDataLocalTemppip-install-cy037osinumpy`

Note

Since this information may be updated regularly, please ensure you are
viewing the most up-to-date version.

ImportError#

In certain cases a failed installation or setup issue can cause you to
see the following error message:

IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!

Importing the numpy c-extensions failed. This error can happen for
different reasons, often due to issues with your setup.

The error also has additional information to help you troubleshoot:

  • Your Python version

  • Your NumPy version

Please check both of these carefully to see if they are what you expect.
You may need to check your PATH or PYTHONPATH environment variables
(see Check Environment Variables below).

The following sections list commonly reported issues depending on your setup.
If you have an issue/solution that you think should appear please open a
NumPy issue so that it will be added.

There are a few commonly reported issues depending on your system/setup.
If none of the following tips help you, please be sure to note the following:

  • how you installed Python

  • how you installed NumPy

  • your operating system

  • whether or not you have multiple versions of Python installed

  • if you built from source, your compiler versions and ideally a build log

when investigating further and asking for support.

Using Python from conda (Anaconda)#

Please make sure that you have activated your conda environment.
See also the conda user-guide.
If you use an external editor/development environment it will have to be set
up correctly. See below for solutions for some common setups.

Using PyCharm with Anaconda/conda Python#

There are fairly common issues when using PyCharm together with Anaconda,
please see the PyCharm support

Using VSCode with Anaconda/conda Python (or environments)#

A commonly reported issue is related to the environment activation within
VSCode. Please see the VSCode support
for information on how to correctly set up VSCode with virtual environments
or conda.

Using Eclipse/PyDev with Anaconda/conda Python (or environments)#

Please see the
Anaconda Documentation
on how to properly configure Eclipse/PyDev to use Anaconda Python with specific
conda environments.

Raspberry Pi#

There are sometimes issues reported on Raspberry Pi setups when installing
using pip3 install (or pip install). These will typically mention:

libf77blas.so.3: cannot open shared object file: No such file or directory

The solution will be to either:

sudo apt-get install libatlas-base-dev

to install the missing libraries expected by the self-compiled NumPy
(ATLAS is a possible provider of linear algebra).

Alternatively use the NumPy provided by Raspbian. In which case run:

pip3 uninstall numpy  # remove previously installed version
apt install python3-numpy

Debug build on Windows#

Rather than building your project in DEBUG mode on windows, try
building in RELEASE mode with debug symbols and no optimization.
Full DEBUG mode on windows changes the names of the DLLs python
expects to find, so if you wish to truly work in DEBUG mode you will
need to recompile the entire stack of python modules you work with
including NumPy

All Setups#

Occasionally there may be simple issues with old or bad installations
of NumPy. In this case you may just try to uninstall and reinstall NumPy.
Make sure that NumPy is not found after uninstalling.

Development Setup#

If you are using a development setup, make sure to run git clean -xdf
to delete all files not under version control (be careful not to lose
any modifications you made, e.g. site.cfg).
In many cases files from old builds may lead to incorrect builds.

Check Environment Variables#

In general how to set and check your environment variables depends on
your system. If you can open a correct python shell, you can also run the
following in python:

import os
print("PYTHONPATH:", os.environ.get('PYTHONPATH'))
print("PATH:", os.environ.get('PATH'))

This may mainly help you if you are not running the python and/or NumPy
version you are expecting to run.

C-API incompatibility#

If you see an error like:

RuntimeError: module compiled against API version v1 but this version of numpy is v2

You may have:

  • A bad extension “wheel” (binary install) that should use
    oldest-support-numpy (
    with manual constraints if necessary) to build their binary packages.

  • An environment issue messing with package versions.

  • Incompatible package versions somehow enforced manually.

  • An extension module compiled locally against a very recent version
    followed by a NumPy downgrade.

  • A compiled extension copied to a different computer with an
    older NumPy version.

The best thing to do if you see this error is to contact
the maintainers of the package that is causing problem
so that they can solve the problem properly.

However, while you wait for a solution, a work around
that usually works is to upgrade the NumPy version:

pip install numpy --upgrade

Segfaults or crashes#

NumPy tries to use advanced CPU features (SIMD) to speed up operations. If you
are getting an “illegal instruction” error or a segfault, one cause could be
that the environment claims it can support one or more of these features but
actually cannot. This can happen inside a docker image or a VM (qemu, VMWare,
…)

You can use the output of np.show_runtime() to show which SIMD features are
detected. For instance:

>>> np.show_runtime()
WARNING: `threadpoolctl` not found in system! Install it by `pip install 
threadpoolctl`. Once installed, try `np.show_runtime` again for more detailed
build information
[{'simd_extensions': {'baseline': ['SSE', 'SSE2', 'SSE3'],
                      'found': ['SSSE3',
                                'SSE41',
                                'POPCNT',
                                'SSE42',
                                'AVX',
                                'F16C',
                                'FMA3',
                                'AVX2'],
                      'not_found': ['AVX512F',
                                    'AVX512CD',
                                    'AVX512_KNL',
                                    'AVX512_KNM',
                                    'AVX512_SKX',
                                    'AVX512_CLX',
                                    'AVX512_CNL',
                                    'AVX512_ICL']}}]

In this case, it shows AVX2 and FMA3 under the found section, so you can
try disabling them by setting NPY_DISABLE_CPU_FEATURES="AVX2,FMA3" in your
environment before running python (for cmd.exe on windows):

>SET NPY_DISABLE_CPU_FEATURES="AVX2,FMA3"
>python <myprogram.py>

By installing threadpoolctl np.show_runtime() will show additional information:

...
{'architecture': 'Zen',
  'filepath': '/tmp/venv3/lib/python3.9/site-packages/numpy.libs/libopenblas64_p-r0-15028c96.3.21.so',
  'internal_api': 'openblas',
  'num_threads': 24,
  'prefix': 'libopenblas',
  'threading_layer': 'pthreads',
  'user_api': 'blas',
  'version': '0.3.21'}]

If you use the wheel from PyPI, it contains code from the OpenBLAS project to
speed up matrix operations. This code too can try to use SIMD instructions. It
has a different mechanism for choosing which to use, based on a CPU
architecture, You can override this architecture by setting
OPENBLAS_CORETYPE: a minimal value for x86_64 is
OPENBLAS_CORETYPE=Haswell. This too needs to be set before running your
python (this time for posix):

$ OPENBLAS_CORETYPE=Haswell python <myprogram.py>

Numpy is the best python package for array creation and computing complex mathematic calculations. Generally, you are able to install NumPy easily using the pip command. But sometimes you are unable to install it and get the error message  failed building wheel for numpy. In this entire tutorial, you will know why this error comes and how to solve the error: failed building wheel for NumPy error.

What is a Wheel?

The wheel is a distribution or packaging format. Today most coders use it for building and packaging the python code. There is a file of the format WHL that saves the packaging information in wheel format. The Wheel contains all the metadata and files for the python to install the package.

Most of the time this type of error comes when there is a NumPy version released. The current NumPy releases do not support the specific python version. So the wheel format file is unable to install the version of the Numpy in your system. And it causes the failed building wheel for numpy error.

Solution for the failed building wheel for NumPy

The solution for the error failed building wheel for NumPy is very simple. I will discuss different ways to solve this type of error.

Solution 1: Upgrade the pip

The first solution to remove this error is to first upgrade the pip command. After upgrading try to install the NumPy version using the pip command.

But make sure to check the version of the python. If the version is 3. xx then use the pip3 command and if it is 2. xx then use the pip command.

Use the below command to check the version of python.

python --version

Checking Python version before installing spacy

Checking the Python version before installing spacy

Use the below command to install the NumPy.

For python3.xx

pip3 install numpy

For python 2. xx

pip install numpy

My system has python 3. xx so I will use the pip3 command.

Install numpy using the pip3 command

Install numpy using the pip3 command

Solution 2: Install the specific NumPy version

If you are still getting the error after applying solution 1 then you have to check which version of the Numpy is supported by the python. In this case, you have to downgrade the NumPy version.

For example, let’s say the current Numpy version is 1.19 and it is not supported by python. Then you have to check the version of the NumPy supported by the python. Let’s say it is 1.18 then you will install it using the below command.

pip3 install numpy==1.18

Install the specific version of numpy

Install the specific version of numpy

It will successfully install the NumPy and you will not get the failed building wheel for NumPy.

Conclusion

Numpy is a great package if you want to do computational work on datasets. These are the ways that can solve the error.

I hope you have liked this tutorial. If you are still getting errors then you can contact us for more help.

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Python has many external modules which are helpful to manage data efficiently. Numpy is one of those modules to handle arrays or any collection of data with ease. With many available methods, you can directly modify and edit the data according to your need. Even many universities, teach numpy as a part of their programming course. But many times, the users face, No Module Named Numpy Error. In this post, we’ll have a look at the causes and solutions for this error.

No Module Named Numpy is one of the persistent errors if you have multiple pythons installed or a virtual environment set up. This error mainly arises due to the unavailability of files in the Python site-packages. This error is easily solved by installing numpy in your working environment. But as installing numpy in the working environment is a tricky job, this error is one of the most irritating ones.

Whenever an external module (numpy) is imported in python, it checks the package in the site packages folder if it’s available. If not, then ImportError No Module Named Numpy is raised. Moreover, if your local files in your directly have numpy.py, it can cause these issues too.

Although fixing this error requires a simple command to be used, it still can harass programmers if they are using a virtual environment. In the following section, we’ll learn about why this error is generated and the causes for it.

Why do I get No Module Named Numpy?

There are known reasons for the cause of this error. The most observed reason is due to the unavailability of Numpy in your working directory. But that’s not it, if your python file is named numpy.py, it can throw this error too. So the question arises –

Am I the only one facing this error?

No, thousands of programmers face this error either due to their IDE’s environment or they just haven’t installed Numpy.

Causes for No Module Named Numpy

No Module Numpy Error

As we mentioned earlier, there are some known causes for this No Module Named Numpy error to appear. Some of them are due to your mistake and some of them are not. Following are the most probable cause of this error –

Numpy Not Installed

Can you run games without installing them? No. Similarly, to use the numpy in your python program, you need to install it first. Numpy is not included in your build-in modules for python. As a result, you need to tell the package management system (pip) to install it!

Working on different Virtual Environment

Often, many different IDEs like Jupyter Notebook, Spyder, Anaconda, or PyCharm tend to install their own virtual environment of python to keep things clean and separated from your global python.

As a result, even if you have Numpy installed in your global python, you cannot use it in your virtual environment since it has separate package management. There are different methods to install numpy on each of these IDEs, all of them are mentioned in the next section.

Solutions for No Module Named Numpy

Following are the respective solutions according to your OS or IDEs for No Module Named Numpy error –

Windows

No Module Named Numpy Solution

Installing modules can be tricky on Windows sometimes. Especially, when you have path-related issues. First of all, make sure that you have Python Added to your PATH (can be checked by entering python in command prompt). Follow these steps to install numpy in Windows –

  1. Firstly, Open Command Prompt from the Start Menu.
  2. Enter the command pip install numpy and press Enter.
  3. Wait for the installation to finish.
  4. Test the installation by using import numpy command in Python Shell.

Ubuntu or Linux or Mac

Generally, in Ubuntu, there are multiple versions of Python installed. This causes great confusion in installing Numpy. Check your version of python by entering the command python --version in your terminal. Follow these steps to install numpy in Linux –

  1. Firstly, Open terminal in your Linux machine.
  2. Enter the command pip install numpy in the terminal and hit Enter (Use pip3 if you have multiple pythons installed).

Anaconda

Anaconda installs its own conda environment to run python. This environment is separated from your outside installed python and can lead to import No Module Named Numpy errors. Usually, numpy is already installed in anaconda but to install numpy again in Anaconda –

  1. Open Anaconda Prompt from Start Menu.
  2. Enter the command conda install numpy and Hit Enter.
  3. Wait for the setup to complete, and restart the Anaconda application once.

Jupyter

If you have installed Jupyter from the conda environment, it’ll use Anaconda’s virtual environment for the execution of python codes. Following is the way to install numpy in Jupyter Notebook –

  1. Open Anaconda Prompt and enter conda install numpy.
  2. Restart Jupyter Notebook and Anaconda.

VsCode

In VsCode, the Integrated Terminal uses the %PATH% of python.exe to run the python programs by default. As a result, if don’t have numpy installed in your python, it’ll throw ImportError No Module Named Numpy. Either you need to change the environment to Anaconda’s environment or install numpy on the default environment. The process to install numpy on the default environment is already mentioned in the above (Windows) section.

PyCharm

PyCharm has its own set of mini Anaconda environments. If numpy is missing in this environment, it’ll throw an error No Module Named Numpy. To install numpy in Pycharm –

  1. Firstly, Open Settings of Pycharm.
  2. Under Python Interpreter, press the Python Packages option.
  3. Search for numpy in the list and select install. If it’s already installed, check if it has an update available.
  4. Wait for its finishes and restarts your PyCharm once.

No Module Named Numpy Still Not Resolved?

Tried all the above methods and still import numpy not working? Then there might be some python related issues with your computer. But don’t be sad, we’ve got a universal solution for you!

Using Google Colab for your Python Projects will prevent you to install numpy on your system. Colab has its own powerful virtual environment with thousands of modules preinstalled and numpy is one of them. Follow these steps to use Google Colab for numpy –

  1. Firstly, log in to your Google Account.
  2. Head over to colab.research.google.com and start a new notebook.
  3. Test your program by running import numpy code.

Some Other Child Modules Error

Numpy has many other child libraries which can be installed externally. All of these libraries look like a part of numpy, but they need to be installed separately. Following are some of the examples –

No module named numpy.core._multiarray_umath

This error can be resolved by using pip install numpy --upgrade command and upgrading your numpy version. Other libraries like TensorFlow and scikit-learn depend on new APIs inside the module, that’s why your module needs to be updated.

No module named numpy.testing.nosetester

Run the following commands in your terminal to resolve this error –

pip install numpy==1.18
pip install scipy==1.1.0
pip install scikit-learn==0.21.3

No module named numpy.distutils._msvccompiler

Use Python version 3.7 to solve this error. The newer versions 3.8 and 3.9 are currently unsupported in some of the numpy methods.

See Also

Final Words

Errors are part of a programmer’s life and they’ll never leave. Numpy has already blessed us with many powerful methods to easily handle data. But sometimes, we’ll get import errors and possibly other errors too. We’ve mentioned all possible solutions for the No Module Named Numpy in the post.

Happy Pythoning!

  • Редакция Кодкампа

17 авг. 2022 г.
читать 1 мин


Одна распространенная ошибка, с которой вы можете столкнуться при использовании Python:

Import error: no module named ' numpy '

Эта ошибка возникает, когда Python не обнаруживает библиотеку NumPy в вашей текущей среде.

В этом руководстве представлены точные шаги, которые вы можете использовать для устранения этой ошибки.

Шаг 1: pip установить numpy

Поскольку NumPy не устанавливается автоматически вместе с Python, вам нужно будет установить его самостоятельно. Самый простой способ сделать это — использовать pip , менеджер пакетов для Python.

Вы можете запустить следующую команду pip для установки NumPy:

pip install numpy

Для python 3 вы можете использовать:

pip3 install numpy

В большинстве случаев это исправит ошибку.

Шаг 2: Установите пип

Если вы все еще получаете сообщение об ошибке, вам может потребоваться установить pip. Используйте эти шаги , чтобы сделать это.

Вы также можете использовать эти шаги для обновления pip до последней версии, чтобы убедиться, что он работает.

Затем вы можете запустить ту же команду pip, что и раньше, чтобы установить NumPy:

pip install numpy

На этом этапе ошибка должна быть устранена.

Шаг 3: проверьте версию NumPy

После успешной установки NumPy вы можете использовать следующую команду для отображения версии NumPy в вашей среде:

pip show numpy

Name: numpy
Version: 1.20.3
Summary: NumPy is the fundamental package for array computing with Python.
Home-page: https://www.numpy.org
Author: Travis E. Oliphant et al.
Author-email: None
License: BSD
Location: /srv/conda/envs/notebook/lib/python3.7/site-packages
Requires: 
Required-by: tensorflow, tensorflow-estimator, tensorboard, statsmodels, seaborn,
scipy, scikit-learn, PyWavelets, patsy, pandas, matplotlib, Keras-Preprocessing,
Keras-Applications, imageio, h5py, bqplot, bokeh, altair
Note: you may need to restart the kernel to use updated packages.

Дополнительные ресурсы

В следующих руководствах объясняется, как исправить другие распространенные проблемы в Python:

Как исправить: нет модуля с именем pandas
Как исправить: нет модуля с именем plotly
Как исправить: имя NameError ‘pd’ не определено
Как исправить: имя NameError ‘np’ не определено

In this article, we will discuss how to fix the No module named numpy using Python.

Numpy is a module used for array processing. The error “No module named numpy ” will occur when there is no NumPy library in your environment i.e. the NumPy module is either not installed or some part of the installation is incomplete due to some interruption. We will discuss how to overcome this error.

In Python, we will use pip function to install any module

Syntax:

pip install module_name

Example: How to install NumPy

pip install numpy

Output:

Collecting numpy

  Downloading numpy-3.2.0.tar.gz (281.3 MB)

     |████████████████████████████████| 281.3 MB 9.7 kB/s 

Collecting py4j==0.10.9.2

  Downloading py4j-0.10.9.2-py2.py3-none-any.whl (198 kB)

     |████████████████████████████████| 198 kB 52.8 MB/s 

Building wheels for collected packages: numpy

  Building wheel for numpy (setup.py) … done

  Created wheel for numpy: filename=numpy-3.2.0-py2.py3-none-any.whl size=281805912 sha256=c6c9edb963f9a25f31d11d88374ce3be6b3c73ac73ac467ef40b51b5f4eca737

  Stored in directory: /root/.cache/pip/wheels/0b/de/d2/9be5d59d7331c6c2a7c1b6d1a4f463ce107332b1ecd4e80718

Successfully built numpy

Installing collected packages: py4j, numpy

Successfully installed py4j-0.10.9.2 numpy-3.2.0

We can verify by again typing same command then output will be:

Output:

Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (1.1.5)

To get the numpy description like the current version in our environment we can use show command  

Example: To get NumPy description 

pip show numpy

Output:

Name: numpy

Version: 1.19.5

Summary: NumPy is the fundamental package for array computing with Python.

Home-page: https://www.numpy.org

Author: Travis E. Oliphant et al.

Author-email: None

License: BSD

Location: /usr/local/lib/python3.7/dist-packages

Requires: 

Required-by: yellowbrick, xgboost, xarray, wordcloud, torchvision, torchtext, tifffile, thinc, Theano-PyMC, tensorflow, tensorflow-probability, tensorflow-hub, tensorflow-datasets, tensorboard, tables, statsmodels, spacy, sklearn-pandas, seaborn, scs, scipy, scikit-learn, scikit-image, resampy, qdldl, PyWavelets, python-louvain, pystan, pysndfile, pymc3, pyerfa, pyemd, pyarrow, plotnine, patsy, pandas, osqp, opt-einsum, opencv-python, opencv-contrib-python, numexpr, numba, nibabel, netCDF4, moviepy, mlxtend, mizani, missingno, matplotlib, matplotlib-venn, lightgbm, librosa, Keras-Preprocessing, kapre, jpeg4py, jaxlib, jax, imgaug, imbalanced-learn, imageio, hyperopt, holoviews, h5py, gym, gensim, folium, fix-yahoo-finance, fbprophet, fastprogress, fastdtw, fastai, fa2, ecos, daft, cvxpy, cufflinks, cmdstanpy, cftime, Bottleneck, bokeh, blis, autograd, atari-py, astropy, arviz, altair, albumentations

The installation remains same for all other operating systems and software just the platform changes. If our installation is successful any NumPy code will work fine 

Example: Program to create a NumPy array and display

Python3

import numpy

data = numpy.array([1, 2, 3, 4, 5])

data

Output:

array([1, 2, 3, 4, 5])

In this Python NumPy tutorial, we will learn how to fix the python NumPy not found error. Also, we will cover these topics.

  • Python Numpy Not Found
  • Ubuntu Python Numpy Not Found
  • Anaconda Python Numpy Not Found
  • Vscode Python Numpy Not found
  • Python Numpy dll Not Found
  • Python Numpy Include Path-Not Found
  • Python Import Numpy Not Working
  • Python Numpy Transpose Not Working

Sometimes, the error looks like below:

No module named "numpy"
Python Numpy Not Found

In this section, we will learn to fix the error Python NumPy not found or no module named ‘numpy’.

python numpy not found
Python Numpy Not found
  • Python numpy not found or no module named ‘numpy’ error appears when the module is not installed in the current working environment.
  • Install the module using pip or conda to fix this issue. but make sure that you have installed it in current working environment.
# installation using pip
pip install numpy

# installation using conda
conda install numpy
  • You can install the numpy module even while working on jupyter notebook. Use the below syntax on the jupyter notebook and run it before importing numpy module.

!pip install numpy

# or

!conda install numpy

In the below implementation, when we tried to access the numpy module import numpy it threw an error No module named ‘numpy’. Then we have installed the module using pip now it didn’t thew any error.

Python Numpy Not Found Solution
Python Numpy Not Found

Read Check if NumPy Array is Empty in Python

Ubuntu Python Numpy Not Found

In this section, we will learn how to fix the error python numpy not found in the Ubuntu operating system.

  • Ubuntu is a linux based operating system that has different filesystem then windows operating system.
  • But using pip or conda we can bridge this difference and can use numpy independently on any operating system ( Linux, Windows, macOS).
  • Using apt package manager in Ubuntu machine we can install numpy. Here is the command to do so.
sudo apt install python3-numpy
  • Please note that this command will install numpy on the system that can be accessed bydefault. but it won’t work if you have created a new envirnoment. Either deactivate the environment or install numpy on that environment to access numpy.
  • In the below demonstration, we have installed numpy on the system. Then we have created a virtual environment to check if it is working over there as well. It do not work on the new virtual environment.
Ubuntu Python Numpy Not Found
Ubuntu Python Numpy Not Found

Read Python NumPy zeros

Anaconda Python Numpy Not Found

In this section, we will learn how to fix the python NumPy not found error in anaconda.

  • Anaconda is a package management and deployement software dedicated specially for data science modules.
  • The data science packages offered by anaconda are compatible on Linux, Macintosh (macOS) and windows operating system.
  • Basic packages like jupyter notebbok, pandas, numpy, matplotlib, etc are already available when anaconda installed on the system.
  • If you don’t want these pre-installed packages then either you can remove them or go for miniconda3 which is lighter version of anaconda and it has no packages pre-installed.
  • In our example, we have demonstrated how to fix anaconda python numpy not found error or No module named ‘numpy’. Incase you already have numpy installed and is not working then reinstall it.
  • Here is the code to uninstall the numpy module from anaconda package manager.
conda remove numpy
  • Here is the code to install numpy module in anaconda package manager.
conda install numpy

Here is the demonstration of uninstallation and installation of numpy on anaconda in python.

Anaconda Python Numpy Not Found Solution
Anaconda Python Numpy Not Found Solution

Read Python NumPy arange

Vscode Python Numpy Not found

In this section, we will learn how to fix the Python NumPy not found error in vscode.

  • Python Numpy not found or no module found ‘numpy’ error in vscode can be fixed by install the numpy module extension in vscode.
  • We can also use pip or conda package managers to fix this issue. In case you have installed the module still same error is appearing that means have to activate the dedicated environment.
  • Use the below code to install python numpy on vscode. In case you have already installed it but unable to access it then skip to next point.
pip install numpy
  • In vscode, most of the time we forget to keep check on the environment we are working on. There are multiple environments present on the vscode like virtual environment (self created), conda base environment, conda other environments (if any), global environment, etc.
  • You may have installed the numpy module on the global module but now you are working on vritual environment created by you.
  • Apart from this, keep a check of python interpreter installed in your system. Make sure you have selected the same interpreter that you have used while installing numpy.
  • There were the major reasons for Vscode Python Numpy Not found.

Read Python Numpy Factorial

Python Numpy dll Not Found

In this section, we will learn how to fix the python numpy dll not found error.

ImportError: DLL load failed while importing path: The specified module could not be found.

or

ImportError: DLL load failed: The specified module could not be found.
  • DLL is dynamic link library which is used by more than one program on the windows computer.
  • Python numpy dll not found error can be resolved by reinstalling the numpy on the computer/environment.
  • In case issue is still not resolved then download Visual C++ Redistributable for Visual Studio 2015.
  • Once you have installed it restart your computer and try to run the program again.
  • In case issue still persist, please leave the exact error message in the comment section of this blog.

Read Python NumPy Delete

Python Numpy Include Path-Not Found

In this section, we will learn how to fix python numpy include path-not-found error. This section will also cover Python Checking for Numpy – Not Found.

  • All the modules installed must go inside the site-packages folder in all the operating systems for the smooth running of that module.
  • In case while installing numpy manually you have not placed the module inside the site-package folder in windows machine and dist-packages folder in linux and macOS then python numpy include path not found error may occur.
  • Also, you may have multiple versions of python installed in your system and there are chances that wrong interpreter is selected while executing the program. This way also you won’t be able to access the numpy module.
  • Below we have shown the ways to see the current path where numpy module is installed.
# using pip
python -m pip show numpy
Python Numpy Installed Path-in-Linux
Python Numpy Installed Path-in-Linux
Python NumPy Installed Path-in-Windows
Python Numpy Installed Path-in-Windows
# using anaconda
conda list numpy
Python Numpy Installed Path-in-Linux using anaconda
Python Numpy Installed Path-in-Linux using anaconda

Read Python NumPy Sum

Python Import Numpy Not Working

In this section, we will learn how to fix python import numpy not working error.

  • Python import numpy is not working that means eithers the module is not installed or the module is corrupted.
  • To fix the corrupted module, uninstall it first then reinstall it.
# pip users follow these steps

pip uninstall numpy
pip install numpy

# conda users follow these steps
conda remove numpy
conda install numpy
  • If you are getting an error ” No module found ‘numpy’ then install the module using pip or conda package manager.
pip install numpy

or 

conda install numpy
  • In case you are not using package mangers and want to install numpy on bare metal than windows users can download numpy from this website and linux or macOS users can follow the below command.
# Linux Debian (ubuntu)
sudo apt install numpy

# Linux RHEL
yum install numpy

# macOS 
brew install numpy

Read Python NumPy square with examples

Python Numpy Transpose Not Working

In this section, we will learn how to fix the python numpy transpose not working error.

  • Transpose refers to changing position of values in the array in python numpy.
  • Using numpy.transpose() method in python numpy we can perform transpose an array.
  • Python numpy transpose method reverses the shape of an array. Suppose the shape of an array is (5, 2,3) so after applyting transpose function it will become (3, 2, 5).
  • Incase the array is of 1D then no effect of transpose method will be displayed.
  • In our example, we have displayed both 1D and multiple dimensional array.

Source Code:

In this source code, we have performed python numpy transpose using single and multiple dimensional arrays.

import numpy as np

# one dimensional array
arry = np.arange(10).reshape(10)
arry.transpose()

# multiple dimensional array
arr = np.arange(30).reshape(5, 3, 2)
arr.transpose()

Output:

In this output, we have demonstrated transpose on single-dimensional array. No change is observed as the transpose method reverses the shape of the numpy array. Since this has a single shape so it can’t be reversed.

Python Numpy Transpose Not Working with one dimensional array
Python Numpy Transpose with one-dimensional array

In this output, a multiple dimensional array got created, and when we have applied the transpose method on this array the shape is reversed from (5, 3, 2) to (2, 3, 5).

Python Numpy Transpose Not Working with multiple dimensional array
Python Numpy Transpose with multiple dimensional array

Related Python NumPy tutorials:

  • Python Absolute Value
  • Python NumPy Divide
  • Python NumPy Add Tutorial
  • Python NumPy Count – Useful Guide
  • Python NumPy to list with examples
  • Python NumPy read CSV
  • Python NumPy log
  • Python NumPy where with examples

In this Python tutorial, we have learned how to fix the python numpy not found error. Also, we have covered these topics.

  • Python Numpy Not Found
  • Ubuntu Python Numpy Not Found
  • Anaconda Python Numpy Not Found
  • Vscode Python Numpy Not found
  • Python Numpy dll Not Found
  • Python Numpy Include Path-Not Found
  • Python Import Numpy Not Working
  • Python Numpy Transpose Not Working

Bijay Kumar MVP

Python is one of the most popular languages in the United States of America. I have been working with Python for a long time and I have expertise in working with various libraries on Tkinter, Pandas, NumPy, Turtle, Django, Matplotlib, Tensorflow, Scipy, Scikit-Learn, etc… I have experience in working with various clients in countries like United States, Canada, United Kingdom, Australia, New Zealand, etc. Check out my profile.

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