def imax(L, x2):
a = []
b = []
if len(L) != 0:
for i in L:
a.append(x2[i])
for j in L:
if max(a) == x2[j]:
b.append(j)
return (b[0])
def maxvalinlist(L):
b = []
c = []
for i in range(0, len(L) - 1):
if L[i + 1] - L[i] < 10:
b.append(L[i])
else:
c.append(b)
b = []
return (c)
def index(L, v):
b = []
for i in range(0, len(L)):
if L[i] > v:
b.append(i)
return (b)
minpoint2.append(k)
minvalue2.append(min(d))
break
minpoint2 = np.array(minpoint2)
minvalue2 = np.array(minvalue2)
#plt.subplot(5,1,3)
#plt.scatter(minpoint2,minvalue2,color = 'blue',alpha =1,s=6)
x2 += 2
cak = []
vcak = []
for i in aka:
a = []
b = []
for ju in range(i + 9, i + 15):
a.append(ju)
b.append(x2[ju])
for iu in a:
if x2[iu] == min(b):
cak.append(iu)
vcak.append(x2[iu])
break
cak = np.array(cak)
vcak = np.array(vcak)
vcak -= 2
vcak *= -1 * (vcak)
#print(cak)
# print(b)
print(len(cak))
print(len(minpoint))
#print(aka)