Determinant using sympy
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You first need to convert your numpy n-dimensional array to a sympy matrix, and then perform the calculation of the symbolic determinant. What @hildensia said won't work, because H
is a numpy object, which won't work with symbolic entities.
>>> M = sp.Matrix(H)
>>> M
Matrix([
[ 0.063*x**2, 0.0314*x*y, -0.0001*x*z],
[ 0.0314*x*y, 96.1659*y**2, -0.0001*y*z],
[-0.0001*x*z, -0.0001*y*z, 0.0001*z**2]])
>>> M.det()
0.000604784913*x**2*y**2*z**2
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Author by
Chikorita Rai
Updated on June 04, 2022Comments
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Chikorita Rai almost 2 years
The following code generates a 3x3 matrix in terms of x,y,z. I want to generate the determinant of the matrix. But unable to do so.
import numpy as np import sympy as sp from sympy import * from sympy.matrices import Matrix x,y,z =sp.symbols('x,y,z') H1=np.array([[x,y,z]]) H2=np.array([[0.0630,0.0314,-0.0001],[0.0314,96.1659,-0.0001],[-0.0001,-0.0001,0.0001]]) H3=H1.T H=H1*H2*H3 print H
To find the determinant of the above matrix, I am using the following command.
H.det()
But it is showing error
AttributeError: 'numpy.ndarray' object has no attribute 'det'
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Chikorita Rai over 9 yearsWith the above command, I am getting TypeError: can't convert expression to float
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Karlo almost 6 yearsI get
TypeError: No loop matching the specified signature and casting was found for ufunc det
.