When I try to multiply this by a negative integer it just returns an error
I use:
A = np.array([[1,2,0], [2,4,-2], [0,-2,3]])
When I try to multiply this by a negative integer it just returns an error
I use:
A = np.array([[1,2,0], [2,4,-2], [0,-2,3]])
From the screenshot, I can see this is homework.
A^(-1)import numpy as np
A = np.array([[1,2,0], [2,4,-2], [0,-2,3]])
np.linalg.inv(A)
array([[-2. , 1.5 , 1. ],
[ 1.5 , -0.75, -0.5 ],
[ 1. , -0.5 , 0. ]])
In numpy, you can not raise integers by negative integer powers (Read this).
In python, the ** operator returns the value without any error.
In [6]: A = 20
In [7]: print(A ** -1)
0.05
You can also use pow(),
In [1]: A = 20
In [2]: pow(20, -1)
Out[2]: 0.05
If you're working with matrices, it's a good idea to ensure that they are instances of the numpy.matrix type rather than the more-generic numpy.ndarray.
import numpy as np
M = np.matrix([[ ... ]])
To convert an existing generic array to a matrix you can also pass it into np.asmatrix().
Once you have a matrix instance M, one way to get the inverse is M.I
To avoid the "integers not allowed" problem, ensure that the dtype of your matrix is floating-point, not integer (specify dtype=float in the call to matrix() or asmatrix())
To Insert power as negative value assume an another variable and name it "pow" and assign that negative value. Now put below in your code.
pow = -3
value = 5**pow
print(value)
Execute the code and you will see result. Hope it helps...