c++ - Value error in Python f\x00o\x00r\x00t -

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i embedding python c++. sending big amount of data c++ python , doing manipulations on data in python. in c++ data stored in form of 2-d vector of float via tuple sending python.

now, not sure in format data received in python. in str or utf-16 or utf-8(i dont know meanings of these things). aim receive data array on here in python , apply scikit-learn functions it.

i able apply numpy.array functions , convert data received in python numpy arrays. now, when passing array scikit functions giving me error u"invalid mode, expected 'c' or 'fortran', got f\x00o\x00r\x00t" .

by looking @ different posts, pretty sure has way data read in python i.e format solution provided everywhere dealing reading files , whenever open file use utf-16 in scenario dont have file have arguments in python. how read them in proper format pass them scikit functions?

call c++ :  pvalue = pyobject_callobject(pfunc, pargtuple);  python side :  import numpy np import scipy.io sklearn import cross_validation sklearn.neighbors import kneighborsclassifier sklearn.metrics import accuracy_score fs_package.function.similarity_based import fisher_score fs_package.utility import construct_w def main(*z):    alist = []       print "i called with", len(z), "arguments:"    in range(len(z) - 1):        alist.append(z[i])    x1 = np.array(alist)    x = x1.t    y = np.array(z[len(z) - 1])    n_samples, n_features = x.shape    num_fea = 100    neigh = kneighborsclassifier(n_neighbors=10)    train, test in ss:        selected_features = x[:, idx[0:num_fea]]        neigh.fit(selected_features[train], y[train])

the neigh.fit giving me error.


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