Numpy 不安装 [英] Numpy Does Not Install
本文介绍了Numpy 不安装的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我基本上是在尝试安装 Pandas，但要做到这一点，我应该安装 Numpy.
I’m basically trying to install Pandas, but to do that I’m supposedly supposed to be installing Numpy.
我在终端中输入:
pip 安装 numpy
pip install numpy
我收到一个错误，基本上说我需要 Microsoft Visual Studio C++ 14.0.从它提供的链接下载后，我完全不知道如何使用它.我曾尝试使用 YouTube 教程来了解如何使用 Visual Studio，但是当他们创建项目时，我没有任何选择.我唯一的选择是创建一个空白的解决方案.
And I get an error which basically says I need Microsoft Visual Studio C++ 14.0. After I downloaded it from the link it provided, I have absolutely no idea how to work with it. I’ve tried to use a YouTube tutorial on how to use Visual Studio, but when they create a project I don’t have any of their options. The only option I have is to create a blank solution.
如果其余的错误消息是必要的，请提醒我，我才开始使用 Python 几个月，所以我不是很有经验.
If the rest of the error message is necessary please alert me of that, I’ve only started to work with Python for a couple months, so I’m not very experienced.
错误信息:
(venv) C:\Users\pc\PycharmProjects\Tutorials>pip install numpy
Collecting numpy
Using cached https://files.pythonhosted.org/packages/84/1e/ff467ac56bfeaea51d4a2e72d315c1fe440b20192fea7e460f0f248acac8/numpy-1.18.2.zip
Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing wheel metadata ... error
Complete output from command C:\Users\pc\PycharmProjects\Tutorials\venv\Scripts\python.exe C:\Users\pc\PycharmProjects\Tutorials\venv\lib\site-packages\pip-19.0.3-py3.8.egg\pip\_vendor\pep517\_in_process.py prepare_meta
data_for_build_wheel C:\Users\pc\AppData\Local\Temp\tmp7lo0j8qw:
Processing numpy/random\_bounded_integers.pxd.in
Processing numpy/random\mtrand.pyx
Processing numpy/random\_bit_generator.pyx
Processing numpy/random\_bounded_integers.pyx.in
Processing numpy/random\_common.pyx
Processing numpy/random\_generator.pyx
Processing numpy/random\_mt19937.pyx
Processing numpy/random\_pcg64.pyx
Processing numpy/random\_philox.pyx
Processing numpy/random\_sfc64.pyx
Cythonizing sources
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\\pc\\PycharmProjects\\Tutorials\\venv\\lib', 'C:\\']
NOT AVAILABLE
blis_info:
libraries blis not found in ['C:\\Users\\pc\\PycharmProjects\\Tutorials\\venv\\lib', 'C:\\']
NOT AVAILABLE
openblas_info:
libraries openblas not found in ['C:\\Users\\pc\\PycharmProjects\\Tutorials\\venv\\lib', 'C:\\']
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
libraries tatlas not found in ['C:\\Users\\pc\\PycharmProjects\\Tutorials\\venv\\lib', 'C:\\']
NOT AVAILABLE
atlas_3_10_blas_info:
libraries satlas not found in ['C:\\Users\\pc\\PycharmProjects\\Tutorials\\venv\\lib', 'C:\\']
NOT AVAILABLE
atlas_blas_threads_info:
Setting PTATLAS=ATLAS
libraries ptf77blas,ptcblas,atlas not found in ['C:\\Users\\pc\\PycharmProjects\\Tutorials\\venv\\lib', 'C:\\']
NOT AVAILABLE
atlas_blas_info:
libraries f77blas,cblas,atlas not found in ['C:\\Users\\pc\\PycharmProjects\\Tutorials\\venv\\lib', 'C:\\']
NOT AVAILABLE
accelerate_info:
NOT AVAILABLE
blas_info:
libraries blas not found in ['C:\\Users\\pc\\PycharmProjects\\Tutorials\\venv\\lib', 'C:\\']
NOT AVAILABLE
blas_src_info:
NOT AVAILABLE
NOT AVAILABLE
non-existing path in 'numpy\\distutils': 'site.cfg'
lapack_opt_info:
lapack_mkl_info:
libraries mkl_rt not found in ['C:\\Users\\pc\\PycharmProjects\\Tutorials\\venv\\lib', 'C:\\']
NOT AVAILABLE
openblas_lapack_info:
libraries openblas not found in ['C:\\Users\\pc\\PycharmProjects\\Tutorials\\venv\\lib', 'C:\\']
NOT AVAILABLE
openblas_clapack_info:
libraries openblas,lapack not found in ['C:\\Users\\pc\\PycharmProjects\\Tutorials\\venv\\lib', 'C:\\']
NOT AVAILABLE
flame_info:
libraries flame not found in ['C:\\Users\\pc\\PycharmProjects\\Tutorials\\venv\\lib', 'C:\\']
NOT AVAILABLE
atlas_3_10_threads_info:
Setting PTATLAS=ATLAS
libraries lapack_atlas not found in C:\Users\pc\PycharmProjects\Tutorials\venv\lib
libraries tatlas,tatlas not found in C:\Users\pc\PycharmProjects\Tutorials\venv\lib
libraries lapack_atlas not found in C:\
libraries tatlas,tatlas not found in C:\
<class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
NOT AVAILABLE
atlas_3_10_info:
libraries lapack_atlas not found in C:\Users\pc\PycharmProjects\Tutorials\venv\lib
libraries satlas,satlas not found in C:\Users\pc\PycharmProjects\Tutorials\venv\lib
libraries lapack_atlas not found in C:\
libraries satlas,satlas not found in C:\
<class 'numpy.distutils.system_info.atlas_3_10_info'>
NOT AVAILABLE
atlas_threads_info:
Setting PTATLAS=ATLAS
libraries lapack_atlas not found in C:\Users\pc\PycharmProjects\Tutorials\venv\lib
libraries ptf77blas,ptcblas,atlas not found in C:\Users\pc\PycharmProjects\Tutorials\venv\lib
libraries lapack_atlas not found in C:\
libraries ptf77blas,ptcblas,atlas not found in C:\
<class 'numpy.distutils.system_info.atlas_threads_info'>
NOT AVAILABLE
atlas_info:
libraries lapack_atlas not found in C:\Users\pc\PycharmProjects\Tutorials\venv\lib
libraries f77blas,cblas,atlas not found in C:\Users\pc\PycharmProjects\Tutorials\venv\lib
libraries lapack_atlas not found in C:\
libraries f77blas,cblas,atlas not found in C:\
<class 'numpy.distutils.system_info.atlas_info'>
NOT AVAILABLE
lapack_info:
libraries lapack not found in ['C:\\Users\\pc\\PycharmProjects\\Tutorials\\venv\\lib', 'C:\\']
NOT AVAILABLE
lapack_src_info:
NOT AVAILABLE
NOT AVAILABLE
running dist_info
running build_src
build_src
building py_modules sources
creating build
creating build\src.win-amd64-3.8
creating build\src.win-amd64-3.8\numpy
creating build\src.win-amd64-3.8\numpy\distutils
building library "npymath" sources
Running from numpy source directory.
setup.py:461: UserWarning: Unrecognized setuptools command, proceeding with generating Cython sources and expanding templates
run_build = parse_setuppy_commands()
C:\Users\pc\AppData\Local\Temp\pip-install-az7mvo02\numpy\numpy\distutils\system_info.py:1896: UserWarning:
Optimized (vendor) Blas libraries are not found.
Falls back to netlib Blas library which has worse performance.
A better performance should be easily gained by switching
Blas library.
if self._calc_info(blas):
C:\Users\pc\AppData\Local\Temp\pip-install-az7mvo02\numpy\numpy\distutils\system_info.py:1896: 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.
if self._calc_info(blas):
C:\Users\pc\AppData\Local\Temp\pip-install-az7mvo02\numpy\numpy\distutils\system_info.py:1896: 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.
if self._calc_info(blas):
C:\Users\pc\AppData\Local\Temp\pip-install-az7mvo02\numpy\numpy\distutils\system_info.py:1730: 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.
return getattr(self, '_calc_info_{}'.format(name))()
C:\Users\pc\AppData\Local\Temp\pip-install-az7mvo02\numpy\numpy\distutils\system_info.py:1730: 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.
return getattr(self, '_calc_info_{}'.format(name))()
C:\Users\pc\AppData\Local\Programs\Python\Python38\lib\distutils\dist.py:274: UserWarning: Unknown distribution option: 'define_macros'
warnings.warn(msg)
error: Microsoft Visual C++ 14.0 is required. Get it with "Build Tools for Visual Studio": https://visualstudio.microsoft.com/downloads/
----------------------------------------
Command "C:\Users\pc\PycharmProjects\Tutorials\venv\Scripts\python.exe C:\Users\pc\PycharmProjects\Tutorials\venv\lib\site-packages\pip-19.0.3-py3.8.egg\pip\_vendor\pep517\_in_process.py prepare_metadata_for_build_wheel C:\
Users\pc\AppData\Local\Temp\tmp7lo0j8qw" failed with error code 1 in C:\Users\pc\AppData\Local\Temp\pip-install-az7mvo02\numpy
升级 pip 时出错:
Error when upgrading pip:
(venv) C:\Users\pc\PycharmProjects\Tutorials>python -m pip install --upgrade pip
Collecting pip
Downloading https://files.pythonhosted.org/packages/54/0c/d01aa759fdc501a58f431eb594a17495f15b88da142ce14b5845662c13f3/pip-20.0.2-py2.py3-none-any.whl (1.4MB)
100% |████████████████████████████████| 1.4MB 2.2MB/s
Installing collected packages: pip
Found existing installation: pip 19.0.3
Uninstalling pip-19.0.3:
Successfully uninstalled pip-19.0.3
Rolling back uninstall of pip
Moving to c:\users\pc\pycharmprojects\tutorials\venv\lib\site-packages\pip-19.0.3-py3.8.egg
from C:\Users\pc\PycharmProjects\Tutorials\venv\Lib\site-packages\~ip-19.0.3-py3.8.egg
Moving to c:\users\pc\pycharmprojects\tutorials\venv\scripts\pip-script.py
from C:\Users\pc\AppData\Local\Temp\pip-uninstall-hqx4h1fb\pip-script.py
Moving to c:\users\pc\pycharmprojects\tutorials\venv\scripts\pip.exe
from C:\Users\pc\AppData\Local\Temp\pip-uninstall-hqx4h1fb\pip.exe
Moving to c:\users\pc\pycharmprojects\tutorials\venv\scripts\pip3-script.py
from C:\Users\pc\AppData\Local\Temp\pip-uninstall-hqx4h1fb\pip3-script.py
Moving to c:\users\pc\pycharmprojects\tutorials\venv\scripts\pip3.8-script.py
from C:\Users\pc\AppData\Local\Temp\pip-uninstall-hqx4h1fb\pip3.8-script.py
Moving to c:\users\pc\pycharmprojects\tutorials\venv\scripts\pip3.8.exe
from C:\Users\pc\AppData\Local\Temp\pip-uninstall-hqx4h1fb\pip3.8.exe
Moving to c:\users\pc\pycharmprojects\tutorials\venv\scripts\pip3.exe
from C:\Users\pc\AppData\Local\Temp\pip-uninstall-hqx4h1fb\pip3.exe
Exception:
Traceback (most recent call last):
File "C:\Users\pc\PycharmProjects\Tutorials\venv\lib\site-packages\pip-19.0.3-py3.8.egg\pip\_internal\cli\base_command.py", line 179, in main
status = self.run(options, args)
File "C:\Users\pc\PycharmProjects\Tutorials\venv\lib\site-packages\pip-19.0.3-py3.8.egg\pip\_internal\commands\install.py", line 384, in run
installed = install_given_reqs(
File "C:\Users\pc\PycharmProjects\Tutorials\venv\lib\site-packages\pip-19.0.3-py3.8.egg\pip\_internal\req\__init__.py", line 53, in install_given_reqs
requirement.install(
File "C:\Users\pc\PycharmProjects\Tutorials\venv\lib\site-packages\pip-19.0.3-py3.8.egg\pip\_internal\req\req_install.py", line 910, in install
self.move_wheel_files(
File "C:\Users\pc\PycharmProjects\Tutorials\venv\lib\site-packages\pip-19.0.3-py3.8.egg\pip\_internal\req\req_install.py", line 437, in move_wheel_files
move_wheel_files(
File "C:\Users\pc\PycharmProjects\Tutorials\venv\lib\site-packages\pip-19.0.3-py3.8.egg\pip\_internal\wheel.py", line 544, in move_wheel_files
generated.extend(maker.make(spec))
File "C:\Users\pc\PycharmProjects\Tutorials\venv\lib\site-packages\pip-19.0.3-py3.8.egg\pip\_vendor\distlib\scripts.py", line 405, in make
self._make_script(entry, filenames, options=options)
File "C:\Users\pc\PycharmProjects\Tutorials\venv\lib\site-packages\pip-19.0.3-py3.8.egg\pip\_vendor\distlib\scripts.py", line 309, in _make_script
self._write_script(scriptnames, shebang, script, filenames, ext)
File "C:\Users\pc\PycharmProjects\Tutorials\venv\lib\site-packages\pip-19.0.3-py3.8.egg\pip\_vendor\distlib\scripts.py", line 245, in _write_script
launcher = self._get_launcher('t')
File "C:\Users\pc\PycharmProjects\Tutorials\venv\lib\site-packages\pip-19.0.3-py3.8.egg\pip\_vendor\distlib\scripts.py", line 384, in _get_launcher
result = finder(distlib_package).find(name).bytes
AttributeError: 'NoneType' object has no attribute 'bytes'
推荐答案
有几个选择:
1) 从 Python 扩展包的非官方 Windows 二进制文件下载二进制文件
1) Download the Binary from Unofficial Windows Binaries for Python Extension Packages
对于不提供自己的 Windows 安装程序的项目(和甚至有些人这样做)，加利福尼亚大学的 Christoph Gohlke提供了一组 Windows 安装程序.许多 Python 用户在Windows 报告了这些预构建的积极体验版本.来源
For projects which don’t provide their own Windows installers (and even some which do), Christoph Gohlke at the University of California provides a collection of Windows installers. Many Python users on Windows have reported a positive experience with these prebuilt versions. Source
https://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy
搜索和下载:
numpy-1.18.2+mkl-cp38-cp38-win_amd64.whl
numpy‑1.18.2+mkl‑cp38‑cp38‑win_amd64.whl
打开终端，激活您的 env，然后安装(更改文件下载的路径):
Open terminal, activate your env, and install (change the path to where file downloaded):
pip install C:\Users\pc\downloads\numpy‑1.18.2+mkl‑cp38‑cp38‑win_amd64.whl
2) 由于您使用的是 Windows(就像我一样)，我强烈建议您利用 Anaconda 分布的 Python.从长远来看，将为您节省大量时间.基本上，它安装二进制包，而不是要求您使用 pip 编译资源.
2) Since you are using Windows (like I do), I would highly recommend taking advantage of Anaconda distribution of Python. Will save you a lot of time in the long run. Basically, it install the binary packages rather than requiring you to compile resources using pip.
既然你用的是Pycharm，安装Anaconda后，回到Pycharm，用Conda新建一个环境，然后pip install numpy.
Since you are using Pycharm, after you install Anaconda, go back to Pycharm, create a new environment using Conda and then pip install numpy.
3) 尝试编译(祝你好运)
3) Try to Compile (Good Luck)
这篇关于Numpy 不安装的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
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