2022-06-07 09:44:06 +00:00
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import PySimpleGUI as sg
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"""
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Demo - Custom Checkboxes done simply
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The Base64 Image encoding feature of PySimpleGUI makes it possible to create beautiful GUIs very simply
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These 2 checkboxes required 3 extra lines of code than a normal checkbox.
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1. Keep track of the current value using the Image Element's Metadata
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2. Changle / Update the image when clicked
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3. The Base64 image definition
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Enable the event on the Image with the checkbox so that you can take action (flip the value)
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Copyright 2022 PySimpleGUI
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"""
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def main():
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layout = [[sg.Text('Fancy Checkboxes... Simply')],
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[sg.Image(checked, key=('-IMAGE-', 1), metadata=True, enable_events=True), sg.Text(True, enable_events=True, k=('-TEXT-', 1))],
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[sg.Image(unchecked, key=('-IMAGE-', 2), metadata=False, enable_events=True), sg.Text(False, enable_events=True, k=('-TEXT-', 2))],
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[sg.Button('Go'), sg.Button('Exit')]]
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window = sg.Window('Custom Checkboxes', layout, font="_ 14")
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while True:
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event, values = window.read()
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print(event, values)
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if event == sg.WIN_CLOSED or event == 'Exit':
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break
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# if a checkbox is clicked, flip the vale and the image
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if event[0] in ('-IMAGE-', '-TEXT-'):
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cbox_key = ('-IMAGE-', event[1])
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text_key = ('-TEXT-', event[1])
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window[cbox_key].metadata = not window[cbox_key].metadata
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window[cbox_key].update(checked if window[cbox_key].metadata else unchecked)
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# Update the string next to the checkbox
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window[text_key].update(window[cbox_key].metadata)
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window.close()
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if __name__ == '__main__':
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checked = b'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unchecked = b'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'
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main()
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