Skip to main content

Python library that makes it easy to have a Qt GUI with a matplotlib widget made in QtDesigner implemented on a script.

Project description

EasyPlotGUI

Python library that makes it easy to have a Qt GUI with a matplotlib widget made in QtDesigner implemented on a script.

Installation

pip install EasyPlotGUI

Easy implementation process

  1. Create GUI on QtDesigner based on mpl_gui.ui
  2. Compile your ui to Python with pyuic5 ./your_file.ui -o ./your_ui.py
  3. Import EasyPlotGUI as parent class (see example of usage)
  4. Overwrite update_graph() with graph to be generated; and update_interactivity() with GUI elements interaction

Check out the example on ./example.py.

QtDesigner

Installation with pip

QtDesigner is a Graphical tool for creating Guided User Interfaces that can either be downloaded with Qt Creator or with the library pyqt5-tools.

Lightest and fastest way to get QtDesigner is to install pyqt5-tools. For this, execute:

pip install pyqt5-tools

After the installation, the designer.exe executable should be found in:

Python3X\Lib\site-packages\pyqt5_tools\Qt\bin\designer.exe

I suggest creating a shortcut for it, for easier execution or adding the folder to the path, so that it can be called as just designer from the terminal/shell.

UI with Matplotlib Creation

Use the mpl_gui.ui file on QtDesigner as a starting point for the GUI with Matplotlib integrated. Just keep in mind that the names of every object added to the User Interface are those you will have to call on the Python script.

The only important thing in this .ui file is the MplWidget object. The MplWidget is the widget created to link matplotlib to Qt. Do not delete it.

Example output

Step by step - Creating a User Interface

1. Create a new file (MainWindow) on Qt Designer

alt

2. Add a QWidget to it

alt

3. Promote the widget to MplWidget

Right click on the widget that was just added and click on Promote to... . The class name has to be MplWidget and the header file EasyPlotGUI so that the Python script can link it. Click on Add to add the new promoted class, then select it and click on Promote.

alt

4. Add your UI elements

Add the desired element. The name of the elemen (mySlider in the example) is what you'll call in your class (self.ui.mySlider.value() gives the value of the slider).

alt

Now save the file. It should have a .ui extension.

5. Compile the .ui into a .py

pyuic5 ./your_file.ui -o ./your_ui.py

6. Import it in your class

from EasyPlotGUI import EasyPlotGUI
import your_ui

import numpy as np

class MyClass(EasyPlotGUI):
    def __init__(self):
        super().__init__(your_ui)
        self.window_title = "My GUI Name"
        self.icon_path = "logo.png"

        # initialize Graph variables for first plot
        self.f = 1

    def update_interactivity(self):
        self.ui.mySlider.valueChanged.connect(self.change_frequency)

    def change_frequency(self):
        self.f = self.ui.mySlider.value()
        self.update_graph()

    def update_graph(self):
        x = np.linspace(0, 1)
        y = np.sin(2*np.pi*self.f*x)

        self.ax.clear()
        self.ax.plot(x, y, label="Sine")
        self.ax.legend()
        self.ax.set_title('Sine Wave')
        self.draw()

    # calling it
if __name__ == "__main__":
    my_gui=MyClass()
    my_gui.show_gui()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

EasyPlotGUI-0.1.3.tar.gz (4.2 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page