pandas 熊猫的开发构建给出了导入错误:C 扩展名:'hashtable' 不是基于 python 3.4 (anaconda) 构建的
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Development build of pandas giving importerror: C extension: 'hashtable' not built on python 3.4 (anaconda)
提问by nick_eu
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 中管理过)。Python 只是 osx10.10 上的 anaconda 安装。我可以得到
I:
一世:
- git cloned pandas
- ran python setup.py build_ext --inplace (got no errors)
- ran python setup.py develop.
- git 克隆Pandas
- 运行 python setup.py build_ext --inplace(没有错误)
- 运行 python setup.py 开发。
But when I try and import pandas I get:
但是当我尝试导入Pandas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:
请注意,当我执行 build_ext 时,我得到以下(显然很好)输出:
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,我可以安装 pandas conda install pandas,但我真的很喜欢代码开发的开发环境。
采纳答案by nick_eu
The answer, due to @chrisb in comments, was to run python setup.py build_ext --inplace --force.
由于@chrisb 在评论中,答案是运行python setup.py build_ext --inplace --force.
回答by neves
I solved it reinstalling pandas with this command:
我使用以下命令解决了重新安装Pandas的问题:
conda install pandas
Everything was working fine, but I installed something using pip and started having problems. This solved it.
一切正常,但我使用 pip 安装了一些东西并开始出现问题。这解决了它。

