' OSError:[Errno 1]不允许操作'当试图更新pandas / numpy时

时间:2017-12-14 21:59:37

标签: python pandas numpy pip

尝试卸载numpy时,我收到以下消息:

bvtmac00301:~ jonmc$ pip uninstall numpy
DEPRECATION: Uninstalling a distutils installed project (numpy) has been deprecated and will be removed in a future version. This is due to the fact that uninstalling a distutils project will only partially uninstall the project.
Uninstalling numpy-1.8.0rc1:
  /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy-1.8.0rc1-py2.7.egg-info
Proceed (y/n)? y
Exception:
Traceback (most recent call last):
  File "/Library/Python/2.7/site-packages/pip/basecommand.py", line 215, in main
    status = self.run(options, args)
  File "/Library/Python/2.7/site-packages/pip/commands/uninstall.py", line 76, in run
    requirement_set.uninstall(auto_confirm=options.yes)
  File "/Library/Python/2.7/site-packages/pip/req/req_set.py", line 346, in uninstall
    req.uninstall(auto_confirm=auto_confirm)
  File "/Library/Python/2.7/site-packages/pip/req/req_install.py", line 754, in uninstall
    paths_to_remove.remove(auto_confirm)
  File "/Library/Python/2.7/site-packages/pip/req/req_uninstall.py", line 115, in remove
    renames(path, new_path)
  File "/Library/Python/2.7/site-packages/pip/utils/__init__.py", line 267, in renames
    shutil.move(old, new)
  File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/shutil.py", line 302, in move
    copy2(src, real_dst)
  File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/shutil.py", line 131, in copy2
    copystat(src, dst)
  File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/shutil.py", line 103, in copystat
    os.chflags(dst, st.st_flags)
OSError: [Errno 1] Operation not permitted: '/var/folders/y1/7zsj8_x973n4xjwg5gg6s53jr4zz65/T/pip-C3YeRV-uninstall/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy-1.8.0rc1-py2.7.egg-info'

我试图卸载numpy以便更新它以便它将与pandas一起运行(这需要numpy 1.9)。运行以下命令

pip install -U numpy

给出相同的结果

1 个答案:

答案 0 :(得分:0)

尝试:

pip install pandas --user