pip无法安装numpy错误代码1 [英] pip fails to install numpy error code 1

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问题描述

我正在尝试使用pip安装numpy.当我在命令提示符下键入pip install numpy时,它可以工作,但不会安装文件并返回错误代码1.我使用的是Windows 8 64位和python 2.7.这是错误消息的最后一位

I'm trying to install numpy using pip. When I type pip install numpy in the command prompt it goes to work but won't install the file and returns an error code 1. I am using windows 8 64-Bit and python 2.7.This is the final bit of the error message

Cleaning up...

Removing temporary dir c:\users\pim\appdata\local\temp\pip_build_Pim...
Command python setup.py egg_info failed with error code 1 in c:\users\pim\appdata\local\temp\pip_build_Pim\numpy

Exception information:
Traceback (most recent call last):
  File "C:\Python27\lib\site-packages\pip-1.4.1-py2.7.egg\pip\basecommand.py", line 134, in main
    status = self.run(options, args)
  File "C:\Python27\lib\site-packages\pip-1.4.1-py2.7.egg\pip\commands\install.py", line 236, in run
    requirement_set.prepare_files(finder, force_root_egg_info=self.bundle, bundle=self.bundle)
  File "C:\Python27\lib\site-packages\pip-1.4.1-py2.7.egg\pip\req.py", line 1134, in prepare_files
    req_to_install.run_egg_info()
  File "C:\Python27\lib\site-packages\pip-1.4.1-py2.7.egg\pip\req.py", line 259, in run_egg_info
    command_desc='python setup.py egg_info')
  File "C:\Python27\lib\site-packages\pip-1.4.1-py2.7.egg\pip\util.py", line 670, in call_subprocess
    % (command_desc, proc.returncode, cwd))
InstallationError: Command python setup.py egg_info failed with error code 1 in c:\users\pim\appdata\local\temp\pip_build_Pim\numpy

推荐答案

安装扩展模块可能是pip的问题.这就是conda存在的原因. conda是开源的BSD许可的跨平台程序包管理器.它可以轻松安装NumPy.

Installing extension modules can be an issue with pip. This is why conda exists. conda is an open-source BSD-licensed cross-platform package manager. It can easily install NumPy.

两个选项:

  • Install Anaconda (http://www.continuum.io/downloads)
  • Install Miniconda (http://repo.continuum.io/miniconda/index.html) and then go to a command-line and type conda install numpy (make sure your PATH includes the location conda was installed to).

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