Visualise data from your device

In this section, we will explain to you how to create widgets for data visualisation and set up your device's dashboard on Pybytes.

We assume that you already have your device connected to Pybytes. In case you haven't, check how to add your device here. After your done with that, you can proceed to the next example.

Step 1: Set up your application (main.py)

The first step is to have an application running on your device. The application in this example sends data from a vector every 10 seconds to Pybytes.

  1. Open the main.py file on Pymakr;

  2. Insert the following code on your main.py;

# # Import what is necessary to create a thread
import _thread
from time import sleep

# # Increment index used to scan each point from vector sensors_data
def inc(index, vector):
    if index < len(vector)-1:
        return index+1
    else:
        return 0

# # Define your thread's behaviour, here it's a loop sending sensors data every 10 seconds
def send_env_data():
    idx = 0
    sensors_data = [0, -0.2, -0.5, -0.7, -0.8, -0.9, -0.9, -0.9, -0.8, -0.6, -0.4, -0.2, 0, 0.3, 0.5, 0.7, 0.8, 0.9, 0.9, 0.9, 0.8, 0.6, 0.4, 0.1]

    while (pybytes):
        pybytes.send_virtual_pin_value(False, 1, sensors_data[idx])
        idx = inc(idx, sensors_data)
        sleep(10)

# # Start your thread
_thread.start_new_thread(send_env_data, ())

3. Upload the code into your device. Now your device is sending data to Pybytes.

In this code, we're calling the function pybytes.send_virtual_pin_value(persistent, pin, value)) to communicate with Pybytes. This function is part of the Pybytes library, and it has three arguments: persistent, pin and value.

  • persistent denotes information that is infrequently accessed and not likely to be modified;

  • pin represents which virtual pin is receiving data;

  • value is the value being attributed to that particular pin.

Step 2: Add a signal from your device

Go to Pybytes.

  1. On Devices page select a device;

2. On your device's page click on Data tab.

3. Click on the Define New Signal button.

4. Define the new signal by entering a number, a name, a data type and a unit. Finally, click on the button Define.

5. Your signal was added!

The name and unit are labels used to identify your signal inside Pybytes (In this example we defined Sinwave as the name of the signal and Rad as the unit).

The signal number has to match the pin number that you defined on pybytes.send_virtual_pin_value function call, inside your main.py code (In this example we defined pin = 1);

The datatype also has to match the variable used as argument on pybytes.send_virtual_pin_value function call, inside your main.py code (In this example our variable is a floating number; therefore we defined as a Float32).

Step 3: Add a widget for the signal

  1. Click on the signal card.

2. Click on the button Create a new display.

3. Select the type of visualisation (e.g. Bar chart or Line chart).

4. You can adjust the parameters of your widget at Settings. After, click on the button Create.

5. Your widget was created. Now, add your widget to your device's dashboard. Click on the button Edit on your widget.

6. Mark the checkbox Display on Dashboard at Settings. Finally, click on the button Save.

7. Click on the tab Dashboard. Your widget was successfully added there!

Step 4: Organise your dashboard

  1. Click on the button Organise. Now the dashboard's grid will enter the edit mode and allow you to resize and reposition its widgets.

2. Resize a widget by clicking on the triangle icon at the bottom right corner of the widget and drag the cursor over the grid. After, click on the button Save to save this action.

3. Change the widget's position by drag-and-dropping it over the grid. After, click on the button Save to save this action.

Done!

Now you've learned how to set up your device's dashboard to display data. Also, you can add more widgets to other pins of your device.

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