Esempio n. 1
0
# -*- coding: utf-8 -*-

from translucent import Server, App, BootstrapUI

ui = BootstrapUI('bootstrap-sidebar', 'My App')

ui.set('top')(ui.header('Translucent', 'UI Demo')[
    'Lorem ipsum dolor sit amet, consectetur adipisicing.'])

ui.set('left')(ui.navlist)

spinner = ui.icon('fa-spinner', spin=True, fixed=True)

ui.set('right')(
    ui.h4(nav=[spinner, 'Panel'])[spinner, 'Panel'],
    ui.panel('Reactive Test', style='primary')[
        ui.select('object', "obj.id as obj.name for obj in env.objects",
            label='Select an object:'),
        ui.p['Selected object: {{ env.object }}']
    ],
    ui.panel('Panel (style: {{ env.style }})', style='env.style', title='env.title')[
        ui.p['Lorem ipsum dolor sit amet, consectetur adipisicing elit. Perspiciatis, modi!'],
        ui.panel[
            ui.select('style', ['default', 'primary', 'success', 'info', 'warning', 'danger'],
                label='Choose heading style', init='primary'),
            ui.checkbox('title', 'Large title', init=False)
        ]
    ],
    ui.panel('Select values are not passed as strings!', style='primary')[
        ui.select('a', [1, 2, 3], label='a', init=1),
        ui.select('b', [4, 5, 6], label='b', init=4),
Esempio n. 2
0
# -*- coding: utf-8 -*-

import numpy as np
import pandas as pd
import json
from translucent import Server, App, BootstrapUI

ui = BootstrapUI('bootstrap-sidebar', 'DataFrame Test App')
ui.set('top')(ui.header('Translucent', 'Reactive Demo: LoL Champions'))
ui.set('left')(ui.form[
    ui.select('tag1', 't for t in env.tags1', placeholder='(all)', label='First tag:'),
    ui.select('tag2', 't for t in env.tags2', placeholder='(all)', label='Second tag:')])
ui.set('right')(ui.panel[ui.dataframe('table')])


class DataframeApp(App):

    @classmethod
    def on_start(cls):
        with open('dataframe.json') as f:
            cls.df = pd.DataFrame.from_dict(json.load(f))
            cls.df.id = cls.df.id.astype(int).apply(lambda x: '#%03d' % x)
            cls.df = cls.df.set_index('id')[['name', 'tags']]
            cls.tags = cls.df.tags.copy()
            cls.df.tags = cls.df.tags.apply(lambda tags: ', '.join(tags))

    def table(self, env):
        match = self.df.tags.str.contains
        return self.df[match(env.tag1 or '') & match(env.tag2 or '')]

    def get_tags(self, env, other):