我正在从我的C++代码中调用一个Python函数来计算“t-test”。函数调用如下:
#include <iostream>
#include "Python.h"
#include "/usr/local/lib/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h"
#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
int main(int argc, char** argv)
{
Py_Initialize();
PyRun_SimpleString("import sys");
PyRun_SimpleString("sys.path.append(\"PATH_TO_MOD\")");
PyObject *pName = PyString_FromString("tmpPyth");
PyObject *pModule = PyImport_Import(pName);
double arr[] ={9.74219, 10.2226, 8.7469, 8.69791, 9.96442, 9.96472, 9.37913, 9.75004};
double arr1[] ={9.74219, 10.2226, 8.7469, 8.69791, 9.96442, 9.96472, 9.37913, 9.75004};
PyObject *lst = PyList_New(8);
PyObject *lst1 = PyList_New(8);
// if (!lst)
// return NULL;
for (int i = 0; i < 8; i++) {
PyObject *num = PyFloat_FromDouble(arr[i]);
PyObject *num1 = PyFloat_FromDouble(arr1[i]);
PyList_SET_ITEM(lst, i, num);
PyList_SET_ITEM(lst1, i, num1);
}
PyObject *pArgs = PyTuple_New(2);
PyTuple_SetItem(pArgs, 0, lst);
PyTuple_SetItem(pArgs, 1, lst1);
if (pModule != NULL) {
PyObject *pFunc = PyObject_GetAttrString(pModule, "blah");
if(pFunc != NULL){
PyObject_CallObject(pFunc, pArgs);
}
}
else
std::cout << "Module path provided may be wrong. Module not found.\n\n";
return 0;
}
我的Python模块定义如下:
import numpy
import scipy
import matplotlib
from scipy import stats
def blah(baseline, follow_up):
paired_sample = stats.ttest_rel(baseline , follow_up )
print "The t-statistic is %.3f and the p-value is %.3f." % paired_sample
现在当我尝试运行它时,我会得到以下的运行时异常:
/usr/local/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/scipy/stats/stats.py:3458: RuntimeWarning: invalid value encountered in divide
t = np.divide(dm, denom)
但是,如果我明确定义一个列表,并尝试执行“t-test”函数,它会正常运行。运行函数的定义如下:
import numpy
import scipy
import matplotlib
from scipy import stats
def blah():
baseline = [9.74219, 10.2226, 8.7469, 8.69791, 9.96442, 9.96472, 9.37913, 9.75004]
follow_up = [9.94227,9.46763,8.53081,9.43679,9.97695,10.4285,10.159,8.86134]
paired_sample = stats.ttest_rel(baseline , follow_up )
print "The t-statistic is %.3f and the p-value is %.3f." % paired_sample
我假设在定义传递给Python脚本的列表时犯了一些错误,但无法弄清楚是什么错误。希望能得到帮助。
blah()
时,发生了在numpy.stats()
中的错误,blah()
中传递的值是什么?使用print repr(baseline)
和print repr(follow_up)
输出它们的表示形式。话虽如此,为什么你还在使用Python 2?至少Numpy也可以在当前版本的Python中使用。 - Ulrich Eckhardt