Simple arctan fit

Fit an arctan function.

Model1D: Simple arctan fit
CurrentComponentValues: Arctan
Active: True
Parameter Name |    Free |      Value |        Std |        Min |        Max | Linear
============== | ======= | ========== | ========== | ========== | ========== | ======
             A |    True | 1.00174043 | 0.00214306 |       None |       None |   True
             k |    True | 1.07357672 | 0.09499547 |       None |       None |  False
            x0 |    True | -0.0341022 | 0.07652039 |       None |       None |  False

import numpy as np
import hyperspy.api as hs

# Generate the data and make the spectrum
data = np.arctan(np.arange(-500, 500))
s = hs.signals.Signal1D(data)
s.axes_manager[0].offset = -500
s.axes_manager[0].units = ""
s.axes_manager[0].name = "x"
s.metadata.General.title = "Simple arctan fit"
s.set_signal_origin("simulation")

s.add_gaussian_noise(0.1)

# Make the arctan component for use in the model
arctan_component = hs.model.components1D.Arctan()

# Create the model and add the arctan component
m = s.create_model()
m.append(arctan_component)

# Fit the arctan component to the spectrum
m.fit()

# Print the result of the fit
m.print_current_values()

# Plot the spectrum and the model fitting
m.plot()