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'unable to simplify to float approximation'

N=10000 y = [random() for i in range(N)] A = [] f = asin(x)+bcos(2*x) for i in y: f31 = f + normalvariate(0,1) A.append(f31) v1 = finance.TimeSeries(A) p = v1.plot_histogram(bins=100,color='black', normalize=True) p.set_aspect_ratio('automatic') p

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'unable to simplify to float approximation'

N=10000 N=10000
y = [random() for i in range(N)] range(N)]
A = [] []
f = asin(x)+bcos(2*x) cos(2*x)
for i in y: y:
f31 = f + normalvariate(0,1) normalvariate(0,1)
A.append(f31) A.append(f31)
v1 = finance.TimeSeries(A) finance.TimeSeries(A)
p = v1.plot_histogram(bins=100,color='black', normalize=True) p.set_aspect_ratio('automatic') normalize=True)
p.set_aspect_ratio('automatic')
p

What is wrong??

Thanks

example a=0, b=10

N=10000
y = [random() for i in range(N)]
A = []
a=0
b=10
f = asin(x)+bcos(2*x)
for i in y:
f31 = f + normalvariate(0,1)
A.append(f31)
v1 = finance.TimeSeries(A)
p = v1.plot_histogram(bins=100,color='black', normalize=True)
p.set_aspect_ratio('automatic')
p

What is wrong??

Thanks

example a=0, b=10

N=10000
y = [random() for i in range(N)]
A = []
a=0
b=10 b=10
f = asin(x)+bcos(2*x)
for i in y:
f31 = f + normalvariate(0,1)
A.append(f31)
v1 = finance.TimeSeries(A)
p = v1.plot_histogram(bins=100,color='black', normalize=True)
p.set_aspect_ratio('automatic')
p

What is wrong??

Thanks

example a=0, b=10

N=10000
y = [random() for i in range(N)]
A = []
a=0
b=10
f = asin(x)+bcos(2*x)
for i in y:
f31 = f + normalvariate(0,1)
A.append(f31)
v1 = finance.TimeSeries(A)
p = v1.plot_histogram(bins=100,color='black', normalize=True)
p.set_aspect_ratio('automatic')
p

p and it should be a * b * sin and cos
not displayed

What is wrong??

Thanks

example a=0, b=10

N=10000
y = [random() for i in range(N)]
A = []
a=0
b=10
f = asin(x)+bcos(2*x)
for i in y:
f31 = f + normalvariate(0,1)
A.append(f31)
v1 = finance.TimeSeries(A)
p = v1.plot_histogram(bins=100,color='black', normalize=True)
p.set_aspect_ratio('automatic')
p p

and it should be a * b * sin and cos
not displayed

What is wrong??

Thanks

example a=0, b=10

N=10000
y = [random() for i in range(N)]
A = []
a=0
b=10
f = asin(x)+bcos(2*x)
for i in y:
f31 = f + normalvariate(0,1)
A.append(f31)
v1 = finance.TimeSeries(A)
p = v1.plot_histogram(bins=100,color='black', normalize=True)
p.set_aspect_ratio('automatic')
p

and it should be a * sin and b * sin and cos
not displayed

What is wrong??

Thanks

example a=0, b=10

N=10000
y = [random() for i in range(N)]
A = []
a=0
b=10
f = asin(x)+bcos(2*x)
for i in y:
f31 = f + normalvariate(0,1)
A.append(f31)
v1 = finance.TimeSeries(A)
p = v1.plot_histogram(bins=100,color='black', normalize=True)
p.set_aspect_ratio('automatic')
p

and a it should be a * sin and b * cos
not displayed

What is wrong??

Thanks

 9 No.9 Revision calc314 4191 ●22 ●48 ●113

example #example a=0, b=10

b=10 N=10000 y = [random() for i in range(N)] A = [] a=0 b=10 f = asin(x)+bcos(2*x) a*sin(x)+b*cos(2*x) for i in y: f31 = f + normalvariate(0,1) A.append(f31) v1 = finance.TimeSeries(A) p = v1.plot_histogram(bins=100,color='black', normalize=True) p.set_aspect_ratio('automatic') p p.set_aspect_ratio('automatic') p 

a it should be a * sin and b * cos
not displayed

What is wrong??

Thanks

 10 retagged kcrisman 12222 ●41 ●135 ●254

'unable to simplify to float approximation'

#example a=0, b=10
N=10000
y = [random() for i in range(N)]
A = []
a=0
b=10
f = a*sin(x)+b*cos(2*x)
for i in y:
f31 = f + normalvariate(0,1)
A.append(f31)
v1 = finance.TimeSeries(A)
p = v1.plot_histogram(bins=100,color='black', normalize=True)
p.set_aspect_ratio('automatic')
p


a it should be a * sin and b * cos
not displayed

What is wrong??

Thanks