Traceback (most recent call last):
File "testcsv.py", line 57, in <module>
beinvariantpart =
diff(interpolate([close1[k+num],close1[k+num+1],close1[k+n
um+2],close1[k+num+3]], x), x)
File "C:\Python27\lib\site-packages\numpy\lib\function_base.py", line
984, in
diff
if n < 0:
File "C:\Python27\lib\site-packages\sympy\core\relational.py", line 226,
in __
nonzero__
raise TypeError("symbolic boolean expression has no truth value.")
TypeError: symbolic boolean expression has no truth value.
import csv as csv
import os
import numpy as np
from sympy import *
from numpy import *
from numpy.linalg import *
from sympy.polys.polyfuncs import interpolate
from sympy import Function, dsolve, Eq, Derivative, sin, cos
from sympy.abc import x
files = [f2 for f2 in os.listdir('.') if os.path.isfile(f2)]
for f2 in files:
#path = r'C:\Users\martin.lee\Downloads\Downloads\0016.HK.csv'
path = os.path.abspath(f2)
extension = os.path.splitext(f2)[1]
if extension == '.csv':
print(path)
data = []
open1 = []
high1 = []
low1 = []
close1 = []
date1 = []
list_t1 = []
with open(path, 'rb') as csvfile:
readdata=csv.reader(csvfile)
count = 0
for row in readdata:
if count >= 1:
date1.append(row[0])
open1.append(float(row[1]))
high1.append(float(row[2]))
low1.append(float(row[3]))
close1.append(float(row[4]))
count = count + 1
print(close1[2])
k = 0
inputmatrix1 = []
inputmatrix2 = []
inputmatrix3 = []
eigenvectormatrix1 = []
eigenvectormatrix2 = []
eigenvectormatrix3 = []
x = Symbol("x")
f = Function('f')
for num in range(1, 30):
temp1 =
array([[close1[k+num],close1[k+num+1],close1[k+num+2]],[close1[k+num+1],close1[k+num+2],0],[close1[k+num+2],0,0]])
temp2 =
array([[close1[k+num+1],close1[k+num+2],close1[k+num+3]],[close1[k+num+2],close1[k+num+3],0],[close1[k+num+3],0,0]])
temp3 =
array([[close1[k+num+2],close1[k+num+3],close1[k+num+4]],[close1[k+num+3],close1[k+num+4],0],[close1[k+num+4],0,0]])
beinvariantpart =
diff(interpolate([close1[k+num],close1[k+num+1],close1[k+num+2],close1[k+num+3]],
x), x)
print("to dsolve =")
print(dsolve(1/beinvariantpart*Derivative(f(x), x) - f(x), f(x)))
print("debug1")
inputmatrix1.append(temp1)
inputmatrix2.append(temp2)
inputmatrix3.append(temp3)
print("debug2")
editedinputmatrix1 = temp1.transpose().dot(temp1)
editedinputmatrix2 = temp2.transpose().dot(temp2)
editedinputmatrix3 = temp3.transpose().dot(temp3)
print("debug3")
eigenvectormatrix1.append(eig(editedinputmatrix1))
eigenvectormatrix2.append(eig(editedinputmatrix2))
eigenvectormatrix3.append(eig(editedinputmatrix3))
#print(eigenvectormatrix3[0][0])
print(eigenvectormatrix3[0][1])
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