C扩展:“hashtable”不是基于python 3.4构建的(anaconda)

Try to do a development build with 3.4 (have previously managed in 2.7). Python is just an anaconda installation on osx10.10. I can get

尝试使用3.4进行开发构建(以前在2.7中进行过管理)。Python只是osx10.10上的一个anaconda安装。我可以得到

我:

git cloned pandas
git克隆大熊猫
ran python setup.py build_ext --inplace (got no errors)
运行python设置。py build_ext—inplace(没有错误)
ran python setup.py develop.
运行python设置。py发展。

But when I try and import pandas I get:

但当我尝试进口熊猫时，我得到:

import pandas as pd
Traceback (most recent call last):

  File "<ipython-input-2-af55e7023913>", line 1, in <module>
    import pandas as pd

  File "/Users/Nick/github/pandas/pandas/__init__.py", line 13, in <module>
    "extensions first.".format(module))

ImportError: C extension: 'hashtable' not built. If you want to import pandas from the source directory, you may need to run 'python setup.py build_ext --inplace' to build the C extensions first.

Note that when I do build_ext I get the following (apparently fine) output:

注意，当我构建d_ext时，会得到以下输出(显然很好):

pandas(master)$python setup.py build_ext --inplace

running build_ext
skipping 'pandas/index.c' Cython extension (up-to-date)
skipping 'pandas/lib.c' Cython extension (up-to-date)
skipping 'pandas/parser.c' Cython extension (up-to-date)
skipping 'pandas/src/period.c' Cython extension (up-to-date)
skipping 'pandas/hashtable.c' Cython extension (up-to-date)
skipping 'pandas/algos.c' Cython extension (up-to-date)
skipping 'pandas/tslib.c' Cython extension (up-to-date)
skipping 'pandas/src/sparse.c' Cython extension (up-to-date)
skipping 'pandas/src/testing.c' Cython extension (up-to-date)
skipping 'pandas/msgpack.cpp' Cython extension (up-to-date)

Further, I can get pandas installed if I run conda install pandas, but would really like a development environment for code development.

此外，如果我运行conda安装熊猫，我可以安装熊猫，但是它真的很喜欢代码开发的开发环境。

类似于这个，看起来还没有解决

2 个解决方案

#1

The answer, due to @chrisb in comments, was to run python setup.py build_ext --inplace --force.

由于@chrisb的注释，答案是运行python设置。py build_ext——原地力量。

#2

I solved it reinstalling pandas with this command:

我解决了用这个命令重新安装熊猫:

conda install pandas

Everything was working fine, but I installed something using pip and started having problems. This solved it.

一切运行正常，但是我使用pip安装了一些东西，并开始出现问题。这解决了。

#1