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docs: extend waveform docs

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docs/user/widgets/waveform/waveform_widget.md
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@ -75,7 +75,7 @@ dev.bpm3i.sim.select_sim_model("StepModel")
```
## Example 4 - Adding Data Processing Pipeline Curve with LMFit Models
In addition to the scan curve, you can also add a second curve that fits the signal using a specified model from [LMFit](https://lmfit.github.io/lmfit-py/builtin_models.html). The following code snippet demonstrates how to create a 1D waveform curve with an attached DAP process, or how to add a DAP process to an existing curve using the BEC CLI. Please note that for this example, both devices were set as Gaussian signals.
In addition to the scan curve, you can also add a second curve that fits the signal using a specified model from [LMFit](https://lmfit.github.io/lmfit-py/builtin_models.html). The following code snippet demonstrates how to create a 1D waveform curve with an attached DAP process, or how to add a DAP process to an existing curve using the BEC CLI. Please note that for this example, both devices were set as Gaussian signals. You can also add a region of interest (roi) to the plot which will respected by all running DAP processes.
```python
# Add a new dock, a new BECFigure, and a BECWaveForm to the dock with a GaussianModel DAP
@ -87,6 +87,13 @@ plt.plot(x_name='samx', y_name='bpm3a')
# Add DAP to the second curve
plt.add_dap(x_name='samx', y_name='bpm3a', dap="GaussianModel")
# Add roi to the plot, this limits the DAP fit to the selected region x_min=-1, x_max=1
# The fit will automatically update
plt.select_roi(region=(-1, 1))
# To remove the DAP from the curve, you can use the toggle button in the toolbar or the following command
plt.toggle_roi(False)
```
To get the parameters of the fit, you need to retrieve the curve objects and call the `dap_params` property.