有没有办法用PyPy安装Pandas?

时间:2016-09-14 22:29:47

标签: python performance pandas compiler-optimization pypy

我尝试使用 PyPy 运行一些代码来加快速度。我的代码使用 Pandas 数据框,因此我试图找到一种安装软件包的方法......

不幸的是,我找不到办法做到这一点...搜索在线收益率thisthis - 两个令人失望的结果表明这是不可能的,但是他们 1-2岁!

来自this twitter post from Romain Guillebert的一线希望表明我可以使用名为 pymetabiosis 的软件包来做到这一点。不幸的是,当我去安装它时,我得到了下面提到的错误。

我知道如何调试错误或找到一些其他方式将Pandas与PyPy一起使用?**

<小时/> 安装 pymetabiosis时出现错误消息:

Collecting pymetabiosis
  Using cached pymetabiosis-0.0.1.tar.gz
    Complete output from command python setup.py egg_info:
    pymetabiosis/__pycache__/_cffi__x771a6f66x197b9d2b.c:219:13: warning: initializing 'char **' with an expression of type 'const char **' discards qualifiers in nested pointer types [-Wincompatible-pointer-types-discards-qualifiers]
      { char * *tmp = &p->ml_name; (void)tmp; }
                ^     ~~~~~~~~~~~
    pymetabiosis/__pycache__/_cffi__x771a6f66x197b9d2b.c:220:13: warning: incompatible pointer types initializing 'void **' with an expression of type 'PyCFunction *' (aka 'struct _object *(**)(struct _object *, struct _object *)') [-Wincompatible-pointer-types]
      { void * *tmp = &p->ml_meth; (void)tmp; }
                ^     ~~~~~~~~~~~
    pymetabiosis/__pycache__/_cffi__x771a6f66x197b9d2b.c:222:13: warning: initializing 'char **' with an expression of type 'const char **' discards qualifiers in nested pointer types [-Wincompatible-pointer-types-discards-qualifiers]
      { char * *tmp = &p->ml_doc; (void)tmp; }
                ^     ~~~~~~~~~~
    pymetabiosis/__pycache__/_cffi__x771a6f66x197b9d2b.c:1189:30: warning: incompatible pointer types passing 'PyObject *' (aka 'struct _object *') to parameter of type 'PyCodeObject *' [-Wincompatible-pointer-types]
      { result = PyEval_EvalCode(x0, x1, x2); }
                                 ^~
    //anaconda/include/python2.7/eval.h:10:54: note: passing argument to parameter here
    PyAPI_FUNC(PyObject *) PyEval_EvalCode(PyCodeObject *, PyObject *, PyObject *);
                                                         ^
    pymetabiosis/__pycache__/_cffi__x771a6f66x197b9d2b.c:1857:12: warning: incompatible integer to pointer conversion assigning to 'PyObject *' (aka 'struct _object *') from 'int' [-Wint-conversion]
      { result = PyObject_SetAttr(x0, x1, x2); }
               ^ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    pymetabiosis/__pycache__/_cffi__x771a6f66x197b9d2b.c:2164:5: warning: incompatible pointer types assigning to 'PyObject *(*)(size_t, ...)' (aka 'struct _object *(*)(unsigned long, ...)') from 'PyObject *(Py_ssize_t, ...)' (aka 'struct _object *(long, ...)') [-Wincompatible-pointer-types]
      i = (PyTuple_Pack);
        ^ ~~~~~~~~~~~~~~
    6 warnings generated.
    ld: warning: directory not found for option '-L//anaconda/lib
    '
    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "/private/var/folders/t4/n42mh55n05sd6s5hgk1dzdz80000gp/T/pip-build-fSTXPd/pymetabiosis/setup.py", line 2, in <module>
        from pymetabiosis.bindings import ffi
      File "pymetabiosis/__init__.py", line 1, in <module>
        from pymetabiosis.module import import_module
      File "pymetabiosis/module.py", line 2, in <module>
        from pymetabiosis.wrapper import MetabiosisWrapper
      File "pymetabiosis/wrapper.py", line 3, in <module>
        from __pypy__ import identity_dict
    ImportError: No module named __pypy__

    ----------------------------------------
Command "python setup.py egg_info" failed with error code -11 in /private/var/folders/t4/n42mh55n05sd6s5hgk1dzdz80000gp/T/pip-build-fSTXPd/pymetabiosis/

2 个答案:

答案 0 :(得分:2)

pypy v5.9已开始支持熊猫(和numpy)

答案 1 :(得分:2)

这就是我所做的,假设您使用的是Conda,但是Pip / Venv shuold也可以工作

制作一个新的conda env

conda create --name pypy_env
conda activate pypy_env

使用conda安装pypy3

conda install pypy3

使用Install pip on pypy

中的方法获取pypy3的点

使用

为pypy安装软件包
pypy3 -m pip install pandas