docs(becfigure): docs added

docs/user/widgets/bec_figure.md

@@ -7,7 +7,6 @@ In the following, we describe 4 different type of widgets thaat are available in
 
 ![BECFigure.png](BECFigure.png)
 
-(user.widgets.waveform_1d)=
 ## [1D Waveform Widget](/api_reference/_autosummary/bec_widgets.cli.client.BECWaveform)
 
 **Purpose:** This widget provides a straightforward visualization of 1D data. It is particularly useful for plotting positioner movements against detector readings, enabling users to observe correlations and patterns in a simple, linear format.
@@ -20,11 +19,12 @@ In the following, we describe 4 different type of widgets thaat are available in
 **Example of Use:**
 ![Waveform 1D](./w1D.gif)
 
-**Code example**
+**Code example 1 - adding curves**
+
 The following code snipped demonstrates how to create a 1D waveform plot using BEC Widgets within BEC. More details about BEC Widgets in BEC can be found in the getting started section within the [introduction to the command line.](user.command_line_introduction)
 ```python
 # adds a new dock, a new BECFigure and a BECWaveForm to the dock
-plt = gui.add_dock().add_widget('BECFigure').plot('samx', 'bpm4i')
+plt = gui.add_dock().add_widget('BECFigure').plot(x_name='samx', y_name='bpm4i')
 # add a second curve to the same plot 
 plt.plot(x_name='samx', y_name='bpm3i')
 plt.set_title("Gauss plots vs. samx")
@@ -39,6 +39,48 @@ dev.bpm4i.sim.select_sim_model("GaussianModel")
 dev.bpm3i.sim.select_sim_model("StepModel")
 ```
 
+**Code example 2 - Adding Data Processing Pipeline Curve with LMFit Models**
+
+Together with the scan curve, one 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.
+
+```python
+# Add a new dock, a new BECFigure, and a BECWaveForm to the dock with a GaussianModel DAP
+plt = gui.add_dock().add_widget('BECFigure').plot(x_name='samx', y_name='bpm4i', dap="GaussianModel")
+
+# Add a second curve to the same plot without DAP
+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")
+
+```
+
+To get the parameters of the fit, one has to retrieve the curve objects and call the dap_params property.
+
+```python
+# Get the curve object by name from the legend
+dap_bpm4i = plt.get_curve("bpm4i-bpm4i-GaussianModel")
+dap_bpm3a = plt.get_curve("bpm3a-bpm3a-GaussianModel")
+
+# Get the parameters of the fit
+print(dap_bpm4i.dap_params)
+# Output
+{'amplitude': 197.399639720862,
+ 'center': 5.013486095404885,
+ 'sigma': 0.9820868875739888}
+
+print(dap_bpm3a.dap_params)
+# Output
+{'amplitude': 698.3072786185278,
+ 'center': 0.9702840866173836,
+ 'sigma': 1.97139754785518}
+```
+
+![Waveform 1D_DAP](./bec_figure_dap.gif)
+
 (user.widgets.scatter_2d)=
 ## [2D Scatter Plot](/api_reference/_autosummary/bec_widgets.cli.client.BECWaveform)