Python layouts.widgetbox方法代码示例

# 需要导入模块: from bokeh import layouts [as 别名]
# 或者: from bokeh.layouts import widgetbox [as 别名]
def create_dl1_widgets(self):
        self.w_dl1_dict = dict(
            extractor=Select(
                title="Extractor:",
                value="",
                width=5,
                options=BokehFileViewer.extractor_product.values,
            ),
            extractor_window_start=TextInput(title="Window Start:", value=""),
            extractor_window_width=TextInput(title="Window Width:", value=""),
            extractor_window_shift=TextInput(title="Window Shift:", value=""),
            extractor_lwt=TextInput(title="Local Pixel Weight:", value=""),
        )

        for val in self.w_dl1_dict.values():
            val.on_change("value", self.on_dl1_widget_change)

        self.wb_extractor = widgetbox(
            PreText(text="Charge Extractor Configuration"),
            self.w_dl1_dict["extractor"],
            self.w_dl1_dict["extractor_window_start"],
            self.w_dl1_dict["extractor_window_width"],
            self.w_dl1_dict["extractor_window_shift"],
            self.w_dl1_dict["extractor_lwt"],
        ) 

# 需要导入模块: from bokeh import layouts [as 别名]
# 或者: from bokeh.layouts import widgetbox [as 别名]
def show_exception_page():
            """ show an error page in case of an unknown/unhandled exception """
            title = 'Internal Error'

            error_message = ('<h3>Internal Server Error</h3>'
                             '<p>Please open an issue on <a '
                             'href="https://github.com/PX4/flight_review/issues" target="_blank">'
                             'https://github.com/PX4/flight_review/issues</a> with a link '
                             'to this log.')
            div = Div(text=error_message, width=int(plot_width*0.9))
            plots = [widgetbox(div, width=int(plot_width*0.9))]
            curdoc().template_variables['internal_error'] = True
            return (title, error_message, plots)


        # check which plots to show 

# 需要导入模块: from bokeh import layouts [as 别名]
# 或者: from bokeh.layouts import widgetbox [as 别名]
def update():
    update_data(
        app_data['bulkfile'],
        app_data['app_vars']
    )
    if app_data['INIT']:
        build_widgets()
        layout.children[0] = widgetbox(list(app_data['wdg_dict'].values()), width=int(cfg_po['wdg_width']))
        app_data['INIT'] = False
    app_data['wdg_dict']['duration'].text = "Duration: {d} seconds".format(d=app_data['app_vars']['duration'])
    app_data['wdg_dict']['toggle_smoothing'].active = True
    layout.children[1] = create_figure(
        app_data['x_data'],
        app_data['y_data'],
        app_data['wdg_dict'],
        app_data['app_vars']
    ) 

# 需要导入模块: from bokeh import layouts [as 别名]
# 或者: from bokeh.layouts import widgetbox [as 别名]
def get_logged_messages(logged_messages, plot_width):
    """
    get a bokeh widgetbox object with a table of the logged text messages
    :param logged_messages: ulog.logged_messages
    """
    log_times = []
    log_levels = []
    log_messages = []
    for m in logged_messages:
        m1, s1 = divmod(int(m.timestamp/1e6), 60)
        h1, m1 = divmod(m1, 60)
        log_times.append("{:d}:{:02d}:{:02d}".format(h1, m1, s1))
        log_levels.append(m.log_level_str())
        log_messages.append(m.message)
    log_data = dict(
        times=log_times,
        levels=log_levels,
        messages=log_messages)
    source = ColumnDataSource(log_data)
    columns = [
        TableColumn(field="times", title="Time",
                    width=int(plot_width*0.15), sortable=False),
        TableColumn(field="levels", title="Level",
                    width=int(plot_width*0.1), sortable=False),
        TableColumn(field="messages", title="Message",
                    width=int(plot_width*0.75), sortable=False),
        ]
    data_table = DataTable(source=source, columns=columns, width=plot_width,
                           height=300, sortable=False, selectable=False)
    div = Div(text="""<b>Logged Messages</b>""", width=int(plot_width/2))
    return widgetbox(div, data_table, width=plot_width) 

# 需要导入模块: from bokeh import layouts [as 别名]
# 或者: from bokeh.layouts import widgetbox [as 别名]
def build_widgets_wb(stock_list):
    # CODE SECTION: setup widgets, widgetbox name = controls_wb
    WIDGET_WIDTH = 250

    # ========== Select Stocks ============= #
    select_stk_1 = Select(width = WIDGET_WIDTH, title='Select Stock 1:', value = stock_list[0], options=stock_list)
    select_stk_2 = Select(width = WIDGET_WIDTH, title='Select Stock 2:', value = stock_list[0], options=stock_list)

    # ========== Strategy Type ============= #
    strategy_list = ['kalman', 'distance', 'cointegration']
    select_strategy = Select(width = WIDGET_WIDTH, title='Select Strategy:', value = strategy_list[0], options=strategy_list)

    # ========== set start/end date ============= #
    # date time variables
    MAX_START = date(2014, 1, 1)
    MAX_END = date(2018, 12, 30)
    DEFAULT_START = date(2016, 5, 1)
    DEFAULT_END = date(2016, 12, 31)
    STEP = 1

    backtest_dates = DateRangeSlider(width = WIDGET_WIDTH, 
                                     start=MAX_START, end=MAX_END, 
                                     value=(DEFAULT_START, DEFAULT_END), 
                                     step=STEP, title="Backtest Date Range:")

    start_bt = Button(label="Backtest", button_type="success", width = WIDGET_WIDTH)

    # controls = column(select_stk_1, select_stk_2, select_strategy, backtest_dates, start_bt)
    controls_wb = widgetbox(select_stk_1, select_stk_2, select_strategy, backtest_dates, start_bt, width=600)
    return controls_wb 

# 需要导入模块: from bokeh import layouts [as 别名]
# 或者: from bokeh.layouts import widgetbox [as 别名]
def build_widgets_wb(stock_list, metrics):
    # CODE SECTION: setup buttons, widgetbox name = controls_wb
    WIDGET_WIDTH = 250

    # ========== Select Stocks ============= #
    select_stk_1 = Select(width = WIDGET_WIDTH, title='Select Stock 1:', value = backtest_params["stk_0"], options=stock_list)
    select_stk_2 = Select(width = WIDGET_WIDTH, title='Select Stock 2:', value = backtest_params["stk_1"], options=stock_list)

    # ========== Strategy Type ============= #
    strategy_list = ['kalman', 'distance', 'cointegration', 'reinforcement learning']
    select_strategy = Select(width = WIDGET_WIDTH, title='Select Strategy:', value = backtest_params["strategy_type"], options=strategy_list)

    # ========== set start/end date ============= #
    # date time variables
    MAX_START = datetime.strptime(backtest_params["max_start"], "%Y-%m-%d").date()
    MAX_END = datetime.strptime(backtest_params["max_end"], "%Y-%m-%d").date()
    DEFAULT_START = datetime.strptime(backtest_params["backtest_start"], "%Y-%m-%d").date()
    DEFAULT_END = datetime.strptime(backtest_params["backtest_end"], "%Y-%m-%d").date()
    STEP = 1

    backtest_dates = DateRangeSlider(width = WIDGET_WIDTH, 
                                     start=MAX_START, end=MAX_END, 
                                     value=(DEFAULT_START, DEFAULT_END), 
                                     step=STEP, title="Backtest Date Range:")

    start_bt = Button(label="Backtest", button_type="success", width = WIDGET_WIDTH)

    # controls = column(select_stk_1, select_stk_2, select_strategy, backtest_dates, start_bt)
    controls_wb = widgetbox(select_stk_1, select_stk_2, select_strategy, backtest_dates, start_bt, width=300)

    # CODE SECTION: setup table, widgetbox name = metrics_wb
    master_wb = None
    if metrics is not None:
        metric_source = ColumnDataSource(metrics)
        metric_columns = [
            TableColumn(field="Metrics", title="Metrics"),
            TableColumn(field="Value", title="Performance"),
        ]

        metric_table = DataTable(source=metric_source, columns=metric_columns, width=300)
        master_wb = row(controls_wb, widgetbox(metric_table))
        
    else:
        logging.info("creating controls without table")
        master_wb = row(controls_wb)
    return master_wb, select_stk_1, select_stk_2, select_strategy, backtest_dates, start_bt