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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.

Easy implementation process

  1. Clone EasyPlotGUI to your project's folder
  2. Create GUI on QtDesigner based on mpl_gui.ui
  3. Compile your ui to Python with pyuic5 ./your_file.ui -o ./your_ui.py
  4. Import EasyPlotGUI as parent class (see example of usage)
  5. 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 of Usage

from easy_gui import EasyPlotGUI
import example_ui
import numpy as np

class MyClass(EasyPlotGUI):
    def __init__(self):
        super().__init__(example_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()

Test Example

gui = EasyPlotGUI()
gui.window_title="Window Title"
gui.icon_path="./logo.png"
gui.show_gui()

Example output

Project details


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EasyPlotGUI-0.1.2.tar.gz (3.9 kB view hashes)

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