在cython中使用numpy.array [英] Using numpy.array in cython
问题描述
我想以 cython 格式重写一个类,并将其另存为demo.pyx。该类的输入参数可以是形状为 Nx2
的 2D np.array ,例如 a = np.array([[0.2,-0.8],[3.7,0.02],..,[-0.92,-3.33]])
或列表 instance a = [0.1,2.7]
。
I want to rewrite a class in cython format and save it as demo.pyx. The input parameter for the class would be either a 2D np.array with an Nx2
shape, e.g. a=np.array([[0.2,-0.8],[3.7,0.02],..,[-0.92,-3.33]])
, or a list for instance a=[0.1,2.7]
.
cimport numpy as np
DTYPE = np.float64
ctypedef np.float64_t DTYPE_t
cdef class halo_positions(object):
cdef unsigned double *x
cdef unsigned double *y
def __init__(self, np.ndarray[np.float64_t,ndim=2,mode='c'] positions):
self.x = &positions[:,0]
self.y = &positions[:,1]
我尝试编写的内容导致错误消息如下:
What I have tried to write causes error message as following:
running build_ext
cythoning demo.pyx to demo.c
Error compiling Cython file:
------------------------------------------------------------
...
cimport numpy as np
DTYPE = np.float64
ctypedef np.float64_t DTYPE_t
cdef class halo_positions(object):
cdef unsigned double *x
^
------------------------------------------------------------
demo.pyx:5:9: Unrecognised type modifier combination
Error compiling Cython file:
------------------------------------------------------------
...
cimport numpy as np
DTYPE = np.float64
ctypedef np.float64_t DTYPE_t
cdef class halo_positions(object):
cdef unsigned double *x
cdef unsigned double *y
^
------------------------------------------------------------
demo.pyx:6:9: Unrecognised type modifier combination
Error compiling Cython file:
------------------------------------------------------------
...
ctypedef np.float64_t DTYPE_t
cdef class halo_positions(object):
cdef unsigned double *x
cdef unsigned double *y
def __init__(self, np.ndarray[np.float64_t,ndim=2,mode='c'] positions):
self.x = &positions[:,0]
^
------------------------------------------------------------
demo.pyx:8:17: Cannot take address of Python variable
Error compiling Cython file:
------------------------------------------------------------
...
cdef class halo_positions(object):
cdef unsigned double *x
cdef unsigned double *y
def __init__(self, np.ndarray[np.float64_t,ndim=2,mode='c'] positions):
self.x = &positions[:,0]
self.y = &positions[:,1]
^
------------------------------------------------------------
demo.pyx:9:17: Cannot take address of Python variable
我知道我使用指针的方式存在问题,但是如果我想保留 x
和 y
不明确,我需要使用它。如何使我的类
工作?
I know there is a problem with the way I have used pointers, but if I want to keep the type of x
and y
ambiguous, I need to use this. How could I make my class
work?
推荐答案
我从cython.group在Google中获得的答案非常有效:
An answer which I got from cython.group in google works perfectly:
import cython
cimport cython
import numpy as np
cimport numpy as np
DTYPE = np.float64
ctypedef np.float64_t DTYPE_t
cdef class halo_positions(object):
cdef double [:] _x
property x:
def __get__(self):
return np.array(self._x)
def __set__(self, np.ndarray[DTYPE_t, ndim=1] x):
self._x = x
cdef double [:] _y
property y:
def __get__(self):
return np.array(self._y)
def __set__(self, np.ndarray[DTYPE_t, ndim=1] y):
self._y = y
def __init__(self, np.ndarray[DTYPE_t,ndim=2] positions):
self._x = positions[:,0]
self._y = positions[:,1]
def debug(self):
print self.x, self.y
这篇关于在cython中使用numpy.array的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!