def directional(A, nw):
n1 = A.shape[0]
print("Size of the matrix entetered for the directional index:")
print(n1)
signal1 = np.zeros((n1, 1));
for i in range(0,n1) :
vect_left = [];
vect_right = [];
for k in range(i-1,i-nw-1,-1) :
kp =k;
if k < 0 :
kp = n1 +k ;
if A[i,kp] > 0 :
vect_left.append(math.log(A[i,kp]));
else :
vect_left.append(0);
for k in range(i+1,i+nw+1) :
kp =k;
if k >= n1 :
kp = k - n1;
if A[i,kp] > 0 :
vect_right.append(math.log(A[i,kp]));
else :
vect_right.append(0);
if sum(vect_left) != 0 and sum(vect_right) != 0 :
signal1[i] = stats.ttest_rel(vect_right,vect_left)[0];
else :
signal1[i] = 0;
return signal1
# for a bar graph :
#ind = np.arange(len(dir2))
#
#ind = np.arange(len(M))
#plt.bar(ind,M,color="red");
#
#dom22 = [i/10 for i in dom22 ]
#
#ind = np.arange(len(dom22))
#plt.bar(ind, dom22)
#show();
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