To fix this issue In what environment are you running this? With Windows command line I get: code :
>>> x = Matrix(4, 3, range(12))
>>> r=x.applyfunc(lambda e:
... Decimal(str(round(e+.2,1))).quantize(Decimal('.01'),
... rounding=ROUND_HALF_UP))
>>> r[0]
0.200000000000000
>>> r
Matrix([
[0.2, 1.2, 2.2],
[3.2, 4.2, 5.2],
[6.2, 7.2, 8.2],
[9.2, 10.2, 11.2]])
>>> r[0].round(1)
0.2
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How to take elementwise logarithm of a matrix in sympy?
By : Lucas Barbosa Fonsec
Date : March 29 2020, 07:55 AM
wish helps you Working with a sympy Matrix or numpy array of sympy symbols, how does one take the elementwise logarithm? , Use Matrix.applyfunc: code :
In [6]: M = sympy.Matrix(sympy.symbols('a b c d'))
In [7]: M.applyfunc(sympy.log)
Out[7]:
⎡log(a)⎤
⎢ ⎥
⎢log(b)⎥
⎢ ⎥
⎢log(c)⎥
⎢ ⎥
⎣log(d)⎦

How to derive with respect to a Matrix element with Sympy
By : gochobot
Date : March 29 2020, 07:55 AM
seems to work fine Given the product of a matrix and a vector , The git version of SymPy (and the next version) handles this better: code :
In [55]: print(diff(C[l,h], A[i,j]))
Sum(KroneckerDelta(_k, j)*KroneckerDelta(i, l)*B[_k, h], (_k, 0, m  1))

In python sympy, how do I apply an external python funtion to each element of the sympy matrix?
By : mygodccl
Date : March 29 2020, 07:55 AM
hop of those help? To be more specific, I want to apply the following sigmoid function: code :
>>> M.applyfunc(sigmoid)
Matrix([
[1/(exp(1) + 1), 1/(exp(3) + 1)],
[1/(exp(2) + 1), 1/(exp(4) + 1)]])
class sigmoid(Function):
pass
>>> M.applyfunc(sigmoid)
Matrix([
[sigmoid(1), sigmoid(3)],
[sigmoid(2), sigmoid(4)]])

How to round Matrix sqrtm in sympy?
By : TsG134
Date : March 29 2020, 07:55 AM
wish helps you After calling sqrtm type of matrix changed and you can not use evalf: A: code :
from sympy import *
from mpmath import *
A=Matrix([[5,4,1],
[4,6,4],
[1,4,5]])
print(A)
B=sqrtm(A)
print(chop(B))
[2.0 1.0 0.0]
[1.0 2.0 1.0]
[0.0 1.0 2.0]

How to round Matrix elements in sympy?
By : hghtms
Date : March 29 2020, 07:55 AM
To fix this issue As we know , Why you do not use method evalf with args like evalf(3)? code :
from sympy import *
x = sin(pi/4)
y = sin(pi/5)
A = Matrix([x, y])
print(x)
print(A.evalf(3))
sqrt(2)/2
Matrix([[0.707], [0.588]])

