Hi,
I wrote a state-space system representation with labels, like:
sys = ct.ss(
A, B, C, D,
name="motor",
states=("Ia", "Wm"),
inputs=("Va", "Tl"),
outputs=("Ia", "Wm", "Va", "Tl"),
)But after simulating it, the result (a TimeResponseData), lacks information about the labels of the simulated system:
T = np.linspace(0, 0.360, 360)
Va = np.ones_like(T) * 36
Tl = np.linspace(0, 15, len(T))
res = ct.forced_response(motor, T, U=[Va, Tl], X0=[0, 0])
print(res.output_labels) # this is None
print(res.input_labels) # this is None
print(res.state_labels) # this is None
I wanted to use .to_pandas(), and after assigning it manually, it works, so it's probably just a matter of passing it forward internally in the code:
res.output_labels = motor.output_labels
res.input_labels = motor.input_labels
res.state_labels = motor.state_labels
df = res.to_pandas().set_index("time")For completeness, this is the error if I try to use .to_pandass() without the abovementioned workaround:
648 # Create a dict for setting up the data frame
649 data = {'time': self.time}
650 data.update(
--> 651 {name: self.u[i] for i, name in enumerate(self.input_labels)})
652 data.update(
653 {name: self.y[i] for i, name in enumerate(self.output_labels)})
654 data.update(
655 {name: self.x[i] for i, name in enumerate(self.state_labels)})
TypeError: 'NoneType' object is not iterableThanks
Hi,
I wrote a state-space system representation with labels, like:
But after simulating it, the result (a
TimeResponseData), lacks information about the labels of the simulated system:I wanted to use
.to_pandas(), and after assigning it manually, it works, so it's probably just a matter of passing it forward internally in the code:For completeness, this is the error if I try to use
.to_pandass()without the abovementioned workaround:Thanks