cpdef myf():
# pd has to be a c array.
# Because it will then be consumed by some c function.
cdef double pd[8000]
# Do something with pd
...
# Get a memoryview.
cdef double[:] pd_view = pd
# Coercion the memoryview to numpy array. Not working.
ret = np.asarray(pd)
return ret
我希望它返回一个 numpy 数组。我该怎么做?
目前我要做的
pd_np = np.zeros(8000, dtype=np.double)
cdef int i
for i in range(8000):
pd_np[i] = pd[i]
最佳答案
如果你只是在你的函数中声明你的数组为什么不让它成为一个 numpy 数组开始,那么当你需要 c 数组时你可以只获取数据指针。
cimport numpy as np
import numpy as np
def myf():
cdef np.ndarray[double, ndim=1, mode="c"] pd_numpy = np.empty(8000)
cdef double *pd = &pd_numpy[0]
# Do something to fill pd with values
for i in range(8000):
pd[i] = i
return pd_numpy
关于python - 如何在 cython 中从 c 数组公开一个 numpy 数组?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/29036068/