nicegui/main.py

#!/usr/bin/env python3
from nicegui import ui
from datetime import datetime
from matplotlib import pyplot as plt
import numpy as np

with ui.row():
    with ui.card():
        ui.label('Interactive elements', 'h5')
        with ui.row():
            with ui.column():
                ui.button('Click me!', on_click=lambda: output.set_text('Click'))
                ui.checkbox('Check me!', on_change=lambda e: output.set_text('Checked' if e.value else 'Unchecked'))
                ui.switch('Switch me!', on_change=lambda e: output.set_text('Switched' if e.value else 'Unswitched'))
                ui.slider(min=0, max=100, value=50, step=0.1, on_change=lambda e: output.set_text(e.value))
                ui.input(label='Text', value='abc', on_change=lambda e: output.set_text(e.value))
                ui.number(label='Number', value=3.1415927, format='%.2f', on_change=lambda e: output.set_text(e.value))
            with ui.column():
                with ui.row():
                    ui.radio(options=['A', 'B', 'C'], value='A', on_change=lambda e: output.set_text(e.value))
                    ui.radio(options={1: 'o', 2: 'oo', 3: 'ooo'}, value=1, on_change=lambda e: output.set_text(e.value))
                with ui.row():
                    ui.select(options=['a', 'b', 'c'], value='a', on_change=lambda e: output.set_text(e.value))
                    ui.select(options={1: 'a', 2: 'b', 3: 'c'}, value=1, on_change=lambda e: output.set_text(e.value))
                ui.toggle(['1', '2', '3'], value='1', on_change=lambda e: output.set_text(e.value))
                ui.toggle({1: 'X', 2: 'Y', 3: 'Z'}, value=1, on_change=lambda e: output.set_text(e.value))
        with ui.row():
            ui.label('Output:')
            output = ui.label(' ', 'bold')

    with ui.column():
        with ui.card():
            ui.label('Timer', 'h5')
            with ui.row():
                ui.icon('far fa-clock')
                clock = ui.label()
                ui.timer(0.1, lambda: clock.set_text(datetime.now().strftime("%X")))

        with ui.card().add_classes('items-center'):
            ui.label('Style', 'h5')
            ui.icon('fas fa-umbrella-beach', size='70px').add_classes('text-amber-14').add_style('margin: 9px')
            ui.link('color palette', 'https://quasar.dev/style/color-palette')
            ui.button(icon='touch_app', design='outline rounded')

    with ui.card():
        ui.label('Binding', 'h5')
        with ui.row():
            n1 = ui.number(value=1.2345, format='%.2f')
            n2 = ui.number(format='%.3f').bind('value', n1, 'value')
        with ui.row():
            c = ui.checkbox('c1')
            s = ui.switch('c2').bind('value', c, 'value')
        with ui.row():
            model = type('', (), {'value': 1})
            ui.radio({1: 'a', 2: 'b', 3: 'c'}).bind('value', model, 'value')
            ui.radio({1: 'A', 2: 'B', 3: 'C'}).bind('value', model, 'value')
            with ui.column():
                ui.number().bind('value', model, 'value')
                ui.label().bind('text', model, 'value')
        with ui.row().add_classes('items-center'):
            on = ui.icon('visibility')
            ui.checkbox('visible').bind('value', on, 'visible')
        with ui.row():
            dict_ = {'key': 'binding to a dictionary'}
            ui.input().bind('value', dict_, 'key')
            ui.label().bind('text', dict_, 'key').add_style('margin-top: 2em')

    with ui.card():
        ui.label('Matplotlib', 'h5')
        with ui.plot(close=False) as plot:
            plt.title('Some plot')
            x, y = [], []
            line, = plt.plot(x, y, 'C0')

        def update_plot():
            global x, y, line
            with plot:
                x = [*x, datetime.now()][-50:]
                y = [*y, np.sin(0.1 * datetime.now().timestamp()) + 0.02 * np.random.randn()][-50:]
                line.set_xdata(x)
                line.set_ydata(y)
                plt.xlim(min(x), max(x))
                plt.ylim(min(y), max(y))

        ui.timer(1.0, update_plot)

    with ui.card():
        ui.label('Line Plot', 'h5')
        lines = ui.line_plot(n=2, limit=200, update_every=5).with_legend(['sin', 'cos'], loc='upper center', ncol=2)
        ui.timer(0.1, lambda: lines.push([datetime.now()], [
            [np.sin(datetime.now().timestamp()) + 0.02 * np.random.randn()],
            [np.cos(datetime.now().timestamp()) + 0.02 * np.random.randn()],
        ]))