散景动态轴缩放

Question

我的问题与this question类似，但我有代码示例。我已经在Django应用程序中创建了一个散景图表，用于描绘随着时间的推移在竞争游泳事件中游泳的时间，并使用一个情节

plot = figure(
        title='Event Progress',
        x_axis_label='Date',
        y_axis_label='Time',
        x_axis_type='datetime',
        plot_width=400,
        plot_height=200,
        tools=tools,
        responsive=True,
    )

Select窗口小部件和CustomJS函数一次只能显示一行。问题是，如果一个事件的时间为10分钟而另一个事件的时间为25秒，则y轴（时间）会缩放，以便在它们可见时看到它们。我声明每一行都像

plot_lines[event] = plot.line('x_'+event, 
                              'y_'+event, 
                              line_width=4, 
                              source=source)

和Select小部件一样

multi_select = Select(title="Select Event:", 
                      value=events[0], 
                      options=events, 
                      callback=callback)

如果这有用的话。我也将y轴自定义格式为

plot.yaxis.formatter = FuncTickFormatter(code="""
    return Math.floor(tick/60) + ":" + tick.toFixed(2)
""")

以便正确显示时间。其他一切只是格式化数据，将行设置为可见或不可用以及回调函数。有没有办法为每条线动态缩放单个轴？我想理想情况下我可以为每一行设置y-max和y-min以使其保持在图表范围内，但我不确定这是否可能或我的其他选择是什么。

更新：这是我的完整代码。

def graph_event(swimmer):
hover_tool = date_time_hover_tool()
tools = ['pan', 'box_zoom', hover_tool, 'reset', 'save']
plot = figure(
    title='Event Progress',
    x_axis_label='Date',
    y_axis_label='Time',
    x_axis_type='datetime',
    plot_width=400,
    plot_height=200,
    tools=tools,
    responsive=True,
)
# format datetime.timedelta objects to MM:ss.mm
plot.yaxis.formatter = FuncTickFormatter(code=
    """
    return Math.floor(tick/60) + ":" + tick.toFixed(2)
    """
)

data_source = {}
events = []
first_event = None
for event in EVENT_CHOICE:
    e = '_'.join([word.lower() for word in event[0].split()])

    results = Event.objects.filter(swimmer=swimmer).filter(event=event[0]).order_by('date')
    if results.exists():
        if len(results) == 1: # one point will not display well on graph
            data_source['x_'+e] = None
            data_source['y_'+e] = None
            data_source['date_'+e] = None
            data_source['time_'+e] = None
            continue

        events.append(event[1])
        if first_event == None:
            first_event = e

        x, y = [], []
        date, time = [], []
        for r in results.iterator():
            d = r.date
            t = r.time.total_seconds()
            x.append(d)
            y.append(t)
            date.append(d.strftime('%m/%d/%y')) # date to string for hover
            time.append('{:d}:{:.2f}'.format(int(t)/60, t)) # time to string for hover

        data_source['x_'+e] = x
        data_source['y_'+e] = y
        data_source['date_'+e] = date
        data_source['time_'+e] = time

    else:
        # eliminates KeyError exceptions
        data_source['x_'+e] = None
        data_source['y_'+e] = None
        data_source['date_'+e] = None
        data_source['time_'+e] = None

# set initial graph
source = ColumnDataSource(data=dict(
    x=data_source['x_'+first_event],
    y=data_source['y_'+first_event],
    date=data_source['date_'+first_event],
    time=data_source['time_'+first_event]
))
plot.line('x', 'y', source=source)

try:
    select = Select(title="Select Event:", value=events[0], options=events)
except IndexError:
    return None, None

# callback modifies data source depending on Select box
callback = CustomJS(args=dict(source=source, select=select), code="""
        data = %s;

        if (select.value == "50 Freestyle") {
            source.data['x'] = data.x_50_free;
            source.data['y'] = data.y_50_free;
            source.data['date'] = data.date_50_free;
            source.data['time'] = data.time_50_free;
        } else if (select.value == "100 Freestyle") {
            source.data['x'] = data.x_100_free;
            source.data['y'] = data.y_100_free;
            source.data['date'] = data.date_100_free;
            source.data['time'] = data.time_100_free;
        } else if (select.value == "200 Freestyle") {
            console.log(select.value);
            source.data['x'] = data.x_200_free;
            source.data['y'] = data.y_200_free;
            source.data['date'] = data.date_200_free;
            source.data['time'] = data.time_200_free;
        } else if (select.value == "500 Freestyle") {
            source.data['x'] = data.x_500_free;
            source.data['y'] = data.y_500_free;
            source.data['date'] = data.date_500_free;
            source.data['time'] = data.time_500_free;
        } else if (select.value == "1000 Freestyle") {
            source.data['x'] = data.x_1000_free;
            source.data['y'] = data.y_1000_free;
            source.data['date'] = data.date_1000_free;
            source.data['time'] = data.time_1000_free;
        } else if (select.value == "50 Backstroke") {
            source.data['x'] = data.x_50_back;
            source.data['y'] = data.y_50_back;
            source.data['date'] = data.date_50_back;
            source.data['time'] = data.time_50_back;
        } else if (select.value == "100 Backstroke") {
            source.data['x'] = data.x_100_back;
            source.data['y'] = data.y_100_back;
            source.data['date'] = data.date_100_back;
            source.data['time'] = data.time_100_back;
        } else if (select.value == "200 Backstroke") {
            source.data['x'] = data.x_200_back;
            source.data['y'] = data.y_200_back;
            source.data['date'] = data.date_200_back;
            source.data['time'] = data.time_200_back;
        } else if (select.value == "50 Breaststroke") {
            source.data['x'] = data.x_50_breast;
            source.data['y'] = data.y_50_breast;
            source.data['date'] = data.date_50_breast;
            source.data['time'] = data.time_50_breast;
        } else if (select.value == "100 Breaststroke") {
            source.data['x'] = data.x_100_breast;
            source.data['y'] = data.y_100_breast;
            source.data['date'] = data.date_100_breast;
            source.data['time'] = data.time_100_breast;
        } else if (select.value == "200 Breaststroke") {
            source.data['x'] = data.x_200_breast;
            source.data['y'] = data.y_200_breast;
            source.data['date'] = data.date_200_breast;
            source.data['time'] = data.time_200_breast;
        } else if (select.value == "50 Butterfly") {
            source.data['x'] = data.x_50_fly;
            source.data['y'] = data.y_50_fly;
            source.data['date'] = data.date_50_fly;
            source.data['time'] = data.time_50_fly;
        } else if (select.value == "100 Butterfly") {
            source.data['x'] = data.x_100_fly;
            source.data['y'] = data.y_100_fly;
            source.data['date'] = data.date_100_fly;
            source.data['time'] = data.time_100_fly;
        } else if (select.value == "200 Butterfly") {
            source.data['x'] = data.x_200_fly;
            source.data['y'] = data.y_200_fly;
            source.data['date'] = data.date_200_fly;
            source.data['time'] = data.time_200_fly;
        } else if (select.value == "100 IM") {
            source.data['x'] = data.x_100_im;
            source.data['y'] = data.y_100_im;
            source.data['date'] = data.date_100_im;
            source.data['time'] = data.time_100_im;
        } else if (select.value == "200 IM") {
            source.data['x'] = data.x_200_im;
            source.data['y'] = data.y_200_im;
            source.data['date'] = data.date_200_im;
            source.data['time'] = data.time_200_im;
        } else if (select.value == "400 IM") {
            source.data['x'] = data.x_400_im;
            source.data['y'] = data.y_400_im;
            source.data['date'] = data.date_400_im;
            source.data['time'] = data.time_400_im;
        } else if (select.value == "Base Freestyle") {
            source.data['x'] = data.x_base_free;
            source.data['y'] = data.y_base_free;
            source.data['date'] = data.date_base_free;
            source.data['time'] = data.time_base_free;
        } else if (select.value == "Base Backstroke") {
            source.data['x'] = data.x_base_back;
            source.data['y'] = data.y_base_back;
            source.data['date'] = data.date_base_back;
            source.data['time'] = data.time_base_back;
        } else if (select.value == "Base Breaststroke") {
            source.data['x'] = data.x_base_breast;
            source.data['y'] = data.y_base_breast;
            source.data['date'] = data.date_base_breast;
            source.data['time'] = data.time_base_breast;
        } else if (select.value == "Base Butterfly") {
            source.data['x'] = data.x_base_fly;
            source.data['y'] = data.y_base_fly;
            source.data['date'] = data.date_base_fly;
            source.data['time'] = data.time_base_fly;
        } else if (select.value == "Base IM") {
            source.data['x'] = data.x_base_im;
            source.data['y'] = data.y_base_im;
            source.data['date'] = data.date_base_im;
            source.data['time'] = data.time_base_im;
        }

        source.change.emit()
""" % json.dumps(data_source, cls=DatetimeEncoder))

select.callback = callback

return components(column(select, plot, responsive=True))

这是悬停工具和JSON datetime序列化程序。

class DatetimeEncoder(json.JSONEncoder):
"""
Encodes Python datetime.date objects to make compatible with JSON serialization.
"""
def default(self, obj):
    try:
        return super(DatetimeEncoder, obj).default(obj)
    except TypeError:
        return str(obj)

def date_time_hover_tool():
    """
    Generates the HTML for the Bokeh's hover data tool on our graph.
    """
    hover_html = """
      <div>
        <span class="hover-tooltip">@date</span>
      </div>
      <div>
        <span class="hover-tooltip">@time</span>
      </div>
    """
    return HoverTool(tooltips=hover_html)

希望这不会太混乱。基本上我正在为该运动员循环每个事件并获取数据（如果存在），然后在回调中设置源数据。

Answer 1

如果您只想一次显示一行，那么更简单的解决方案可能是更新单行数据。一种方法是＆＃34;模板＆＃34;将数据直接导入回调文本。我不会总是推荐这种方法，但对于数据量不大的数据，它可以很好地工作：

import json
from math import sin

from bokeh.io import output_file, show
from bokeh.layouts import column
from bokeh.models import ColumnDataSource, CustomJS, Select
from bokeh.plotting import figure

output_file("foo.html")

xl, yl = list(range(100)), [sin(x) for x in xl]
xs, ys = list(range(500)), [sin(x) for x in xs]
source = ColumnDataSource(data=dict(x=xl, y=yl))

plot = figure()
plot.line('x', 'y', source=source)

select = Select(title="Event:", value="long", options=["long", "short"])

callback = CustomJS(args=dict(source=source, select=select), code="""
    data = %s;
    if (select.value == "long") {
        source.data['x'] = data.xl
        source.data['y'] = data.yl
    } else {
        source.data['x'] = data.xs
        source.data['y'] = data.ys
    }
    source.change.emit()
""" % json.dumps(dict(xl=xl, yl=yl, xs=xs, ys=ys)))

select.callback = callback

show(column(select, plot))

如果确实需要单独的线条渲染器，那么DataRange1d模型具有.renderers属性，用于指定哪些渲染器为＆＃34;自动范围＆＃ 34;过度。但除了启动和重置之外，它没有设置为响应。因此，您的JS回调需要在范围内适当地设置.renderers，并且还要调用范围上的.reset方法以使该更改生效。我认为会按预期工作。