本文整理汇总了Python中bokeh.models.widgets.Select方法的典型用法代码示例。如果您正苦于以下问题:Python widgets.Select方法的具体用法?Python widgets.Select怎么用?Python widgets.Select使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类bokeh.models.widgets
的用法示例。
在下文中一共展示了widgets.Select方法的4个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __init__
# 需要导入模块: from bokeh.models import widgets [as 别名]
# 或者: from bokeh.models.widgets import Select [as 别名]
def __init__(self, doc: Document, push_fnc, bokeh_fac: callable, push_data_fnc:callable, strategy: bt.Strategy, figurepage_idx: int = 0, lookback: int = 20):
self._slider_aspectratio = None
self._push_data_fnc = push_data_fnc
self._push_fnc = push_fnc
self._figurepage_idx = figurepage_idx
self.last_data_index = -1
self._lookback = lookback
self._strategy = strategy
self._current_group = None
self.document = doc
self._bokeh_fac = bokeh_fac
self._bokeh = None
bokeh = self._bokeh_fac() # temporary bokeh object to get tradingdomains and scheme
self._scheme = copy(bokeh.p.scheme) # preserve original scheme as originally provided by the user
tradingdomains = bokeh.list_tradingdomains(strategy)
self._current_group = tradingdomains[0]
self._select_tradingdomain = Select(value=self._current_group, options=tradingdomains)
self._select_tradingdomain.on_change('value', self._on_select_group)
btn_refresh_analyzers = Button(label='Refresh Analyzers', width=100)
btn_refresh_analyzers.on_click(self._on_click_refresh_analyzers)
td_label = Div(text="Trading Domain:", margin=(9, 5, 15, 5))
controls = row(children=[td_label, self._select_tradingdomain, btn_refresh_analyzers])
self.model = column(children=[controls, Tabs(tabs=[])], sizing_mode=self._scheme.plot_sizing_mode)
# append meta tab
meta = Div(text=metadata.get_metadata_div(strategy))
self._panel_metadata = Panel(child=meta, title="Meta")
self._refreshmodel()
示例2: build_widgets_wb
# 需要导入模块: from bokeh.models import widgets [as 别名]
# 或者: from bokeh.models.widgets import Select [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
示例3: ChordDiagram
# 需要导入模块: from bokeh.models import widgets [as 别名]
# 或者: from bokeh.models.widgets import Select [as 别名]
def ChordDiagram(self):
# Step 1 Get Data
self.sharedNeos = self.GetShared()
self.matchedNeos = self.GetMatchedNeos()
hv.output(size=200)
source = []
target = []
value = []
for i,sam in enumerate(self.sharedNeos):
for pair in self.sharedNeos[sam]:
source.append( sam+"_"+pair.split(',')[0] )
target.append( sam+"_"+pair.split(',')[1] )
value.append(self.sharedNeos[sam][pair])
for matched in self.matchedNeos:
source.append(matched.split(',')[0])
target.append(matched.split(',')[1])
value.append(self.matchedNeos[matched])
links = pd.DataFrame({ 'source': source,'target': target,'value': value })
chord = hv.Chord(links)
# chord = hv.Chord((links, nodes)).select(value=(5, None))
chord.opts(
opts.Chord(cmap='Category20', edge_cmap='Category20',
labels='index', node_color=dim('index').str()))
p = hv.render(chord)
select = Select(title="Option:", value="foo", options=["foo", "bar", "baz", "quux"])
return(p, select)
示例4: build_widgets_wb
# 需要导入模块: from bokeh.models import widgets [as 别名]
# 或者: from bokeh.models.widgets import Select [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