Hi, On Fri, May 30, 2014 at 3:31 PM, Matthew Brett <matthew.br...@gmail.com> wrote: > Hi, > > On Fri, May 30, 2014 at 3:16 PM, Neal Becker <ndbeck...@gmail.com> wrote: >> pip install --user --up pandas >> Downloading/unpacking pandas from >> https://pypi.python.org/packages/source/p/pandas/pandas-0.14.0.tar.gz#md5=b775987c0ceebcc8d5ace4a1241c967a >> ... >> >> Downloading/unpacking numpy>=1.6.1 from >> https://pypi.python.org/packages/source/n/numpy/numpy-1.8.1.tar.gz#md5=be95babe263bfa3428363d6db5b64678 >> (from pandas) >> Downloading numpy-1.8.1.tar.gz (3.8MB): 3.8MB downloaded >> Running setup.py egg_info for package numpy >> Running from numpy source directory. >> >> warning: no files found matching 'tools/py3tool.py' >> warning: no files found matching '*' under directory 'doc/f2py' >> warning: no previously-included files matching '*.pyc' found anywhere in >> distribution >> warning: no previously-included files matching '*.pyo' found anywhere in >> distribution >> warning: no previously-included files matching '*.pyd' found anywhere in >> distribution >> Downloading/unpacking six from >> https://pypi.python.org/packages/source/s/six/six-1.6.1.tar.gz#md5=07d606ac08595d795bf926cc9985674f >> (from python-dateutil->pandas) >> Downloading six-1.6.1.tar.gz >> Running setup.py egg_info for package six >> >> no previously-included directories found matching 'documentation/_build' >> Installing collected packages: pandas, pytz, numpy, six >> .... >> >> What? I already have numpy-1.8.0 installed (also have six, pytz). > > Yes, this is a very unfortunate feature of pip --upgrade - it does a > recursive upgrade of all dependent packages: > > http://pip.readthedocs.org/en/latest/reference/pip_install.html#cmdoption-U > https://github.com/pypa/pip/issues/304 > > Maybe you could just do: > > pip install --ignore-install pandas > > instead?
Seconding Nathaniel's suggestion instead: pip install --ignore-installed pandas (note fixed typo s/ignore-install/ignore-installed/) also tries to upgrade numpy. Cheers, Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
