I am defining a state space model and converting it to a standard transfer function. For some unknown reason, it is erroneously providing an extra "s" value with a very small coefficient. Due to the extra "s" it tricks the system into thinking that a zero is being added to the system. An incorrect Bode plot is generated due to this extra zero. The transfer function that is provided is shown here. Note the extra -1.421e-14 s value in the numerator.

  -1.421e-14 s + 1000
  -------------------
   s^2 + 100 s + 10

I worked out the problem manually. I do not get what the control library is providing. The state space model information and the solution steps are shown here:

.
.

Here is the script for test and verification purposes:

# State Space Model
A = np.array([[0, 1], [-10, -100]])
B = np.array([[0], [1]])
C = np.array([[1000, 0]])
D = np.array([[0]])

S = ct.ss(A, B, C, D)
print(S)
extra_zero_sys = ct.tf(S, name=': extra_zero_sys')
print(extra_zero_sys)

ct.bode(extra_zero_sys)
plt.show()

# Correct Plot with right transfer function
correct_sys = ct.tf([1000], [1, 100, 10], name=': correct_sys')
ct.bode(correct_sys)
plt.show()

I also tried the conversion using the "ss2tf" state space to transfer function with the same results:
extra_zero_sys = ct.ss2tf(S, name=': extra_zero_sys')