With this question, I am asking for volunteer assistance with an open-source project, LoRaBinaryFloodMessaging within https://github.com/SoothingMist/Scalable-Point-to-Point-LoRa-Sensor-Network/tree/main. Allow me to explain.
Many applications, including precision irrigation, require remote sensing of data generated by various pieces of equipment. The project at hand uses LoRa point-to-point flood messaging to accomplish data transfer. The complexities and costs of LoRaWAN and third-party services are avoided.
The present project phase accommodates cameras and single-value sensors. At issue is that the GUI accommodates only one camera and one sensor. What is needed is an improvement to the GUI so that cameras and sensors are selectable. Was thinking that drop-down lists would do well. However, front-end work is not my specialty. What I have found so far on this topic confuses me.
The GUI is driven by a basestation written in Python. Matplotlib is used to create and continuously update the GUI's two plots. The camera plot is not a picture really, just the display of a numpy matrix that is updated as image segments arrive. How would I add drop-down lists to the GUI? An example of the present state of the GUI is shown in the attached jpg. More detail is in the project’s documentation. Glad for any comments, suggestions, or direct help. Many thanks for your input.
Matplotlib is primarily a plotting library and does not have built-in support for adding interactive elements like drop-down lists directly to the plot frame but you can achieve this by combining Matplotlib with other libraries that provide interactive widgets, such as `ipywidgets`.
Here's an example of how you can add a drop-down list to a Matplotlib plot using `ipywidgets`:
```python
import matplotlib.pyplot as plt
import numpy as np
import ipywidgets as widgets
from IPython.display import display
# Generate sample data
x = np.linspace(0, 2*np.pi, 100)
y = np.sin(x)
# Create a Matplotlib figure and a set of axes
fig, ax = plt.subplots()
# Plot the data
line, = ax.plot(x, y)
# Define a function to update the plot based on the selected value
def update_plot(value):
# Update the y-values based on the selected value
if value == 'sin(x)':
line.set_ydata(np.sin(x))
elif value == 'cos(x)':
line.set_ydata(np.cos(x))
else:
line.set_ydata(np.tan(x))
# Redraw the plot
fig.canvas.draw()
# Create a drop-down widget
dropdown = widgets.Dropdown(
options=['sin(x)', 'cos(x)', 'tan(x)'],
value='sin(x)',
description='Function:'
)
# Register the update_plot function as the callback for the dropdown widget
dropdown.observe(update_plot, 'value')
# Display the dropdown and the plot
display(dropdown)
plt.show()
```
Here we create a Matplotlib figure and plot some data. We then define a function `update_plot()` that updates the plot based on the selected value from the drop-down list. The `ipywidgets.Dropdown` widget is used to create the drop-down list with the available options. We register the `update_plot()` function as the callback for the `value` attribute of the dropdown widget using the `observe()` method. Finally, we display the dropdown widget and the plot using `display()` and `plt.show()`.
When you run this code, you should see a plot along with a drop-down list. You can select different options from the drop-down list, and the plot will update accordingly based on the selected value.
Good luck. AI assisted
AH !! Clarity. "Matplotlib is primarily a plotting library and does not have built-in support for adding interactive elements like drop-down lists directly to the plot frame "
Let me have a go at this and report back.
Later .....
Attached is main.py, my effort to implement the code. Must be missing something. The drop-down does not appear.
But, I get the general idea and the basic insight. I need to learn how to integrate matplotlib with a widgets library. Going to try tkinter first since that is native to Python.
I think I have a basic solution to this issue. Not perfect but will be transitioning the existing application to this framework. Code is attached.
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