因此,我尝试通过comand promt安装瓶颈(通过执行pip install bottleneck
),并且不断出现错误:
ERROR: Command errored out with exit status 1:
command: 'c:\users\benito\appdata\local\programs\python\python36\python.exe' 'c:\users\benito\appdata\local\programs\python\python36\lib\site-packages\pip\_vendor\pep517\_in_process.py' build_wheel 'C:\Users\Benito\AppData\Local\Temp\tmp3cb_deoe'
cwd: C:\Users\Benito\AppData\Local\Temp\pip-install-hrd3bsvr\bottleneck
Complete output (51 lines):
running bdist_wheel
running build
running build_py
creating build
creating build\lib.win-amd64-3.6
creating build\lib.win-amd64-3.6\bottleneck
copying bottleneck\_pytesttester.py -> build\lib.win-amd64-3.6\bottleneck
copying bottleneck\_version.py -> build\lib.win-amd64-3.6\bottleneck
copying bottleneck\__init__.py -> build\lib.win-amd64-3.6\bottleneck
creating build\lib.win-amd64-3.6\bottleneck\benchmark
copying bottleneck\benchmark\autotimeit.py -> build\lib.win-amd64-3.6\bottleneck\benchmark
copying bottleneck\benchmark\bench.py -> build\lib.win-amd64-3.6\bottleneck\benchmark
copying bottleneck\benchmark\bench_detailed.py -> build\lib.win-amd64-3.6\bottleneck\benchmark
copying bottleneck\benchmark\__init__.py -> build\lib.win-amd64-3.6\bottleneck\benchmark
creating build\lib.win-amd64-3.6\bottleneck\slow
copying bottleneck\slow\move.py -> build\lib.win-amd64-3.6\bottleneck\slow
copying bottleneck\slow\nonreduce.py -> build\lib.win-amd64-3.6\bottleneck\slow
copying bottleneck\slow\nonreduce_axis.py -> build\lib.win-amd64-3.6\bottleneck\slow
copying bottleneck\slow\reduce.py -> build\lib.win-amd64-3.6\bottleneck\slow
copying bottleneck\slow\__init__.py -> build\lib.win-amd64-3.6\bottleneck\slow
creating build\lib.win-amd64-3.6\bottleneck\src
copying bottleneck\src\bn_config.py -> build\lib.win-amd64-3.6\bottleneck\src
copying bottleneck\src\bn_template.py -> build\lib.win-amd64-3.6\bottleneck\src
copying bottleneck\src\__init__.py -> build\lib.win-amd64-3.6\bottleneck\src
creating build\lib.win-amd64-3.6\bottleneck\tests
copying bottleneck\tests\input_modification_test.py -> build\lib.win-amd64-3.6\bottleneck\tests
copying bottleneck\tests\list_input_test.py -> build\lib.win-amd64-3.6\bottleneck\tests
copying bottleneck\tests\memory_test.py -> build\lib.win-amd64-3.6\bottleneck\tests
copying bottleneck\tests\move_test.py -> build\lib.win-amd64-3.6\bottleneck\tests
copying bottleneck\tests\nonreduce_axis_test.py -> build\lib.win-amd64-3.6\bottleneck\tests
copying bottleneck\tests\nonreduce_test.py -> build\lib.win-amd64-3.6\bottleneck\tests
copying bottleneck\tests\reduce_test.py -> build\lib.win-amd64-3.6\bottleneck\tests
copying bottleneck\tests\scalar_input_test.py -> build\lib.win-amd64-3.6\bottleneck\tests
copying bottleneck\tests\util.py -> build\lib.win-amd64-3.6\bottleneck\tests
copying bottleneck\tests\__init__.py -> build\lib.win-amd64-3.6\bottleneck\tests
UPDATING build\lib.win-amd64-3.6\bottleneck/_version.py
set build\lib.win-amd64-3.6\bottleneck/_version.py to '1.3.1'
running build_ext
running config
compiling '_configtest.c':
int __attribute__((optimize("O3"))) have_attribute_optimize_opt_3(void*);
int main(void)
{
return 0;
}
error: Microsoft Visual C++ 14.0 is required. Get it with "Build Tools for Visual Studio": https://visualstudio.microsoft.com/downloads/
----------------------------------------
ERROR: Failed building wheel for bottleneck
Running setup.py clean for bottleneck
Failed to build bottleneck
ERROR: Could not build wheels for bottleneck which use PEP 517 and cannot be installed directly
我还安装了Microsoft Visual C ++ 14.0,重置计算机并释放该程序,并在程序中执行相同的操作,并且遇到相同的错误。我还完成了pip install wheel
,然后完成了pip install bottleneck
,然后收到相同的错误。我也有python 3.6
答案 0 :(得分:0)
我通过在www.lfd.uci.edu/~gohlke/pythonlibs/站点上使用相应的轮手动安装瓶颈来使它起作用。
只需下载适用于您的Python版本的文件(在我的情况下为Bottleneck‑1.3.2‑cp38‑cp38‑win_amd64.whl)并安装:
pip install C:\Users\...
答案 1 :(得分:0)
答案 2 :(得分:0)
我在尝试在 Windows 机器上安装 pycaret 时也遇到了同样的问题。得到错误
ERROR: Failed building wheel for bottleneck
Failed to build bottleneck
ERROR: Could not build wheels for bottleneck which use PEP 517 and cannot be installed directly
阅读输出,发现安装过程无法安装瓶颈,因此您必须手动执行此操作。 Pip 没有这样做,所以因为我使用的是 Anaconda env,所以 conda 安装是要走的路。另外安装 p5py 和 pep517 也是个好主意。
我可以通过以下步骤解决问题: