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在此处输入图像描述 我想在单击单选按钮时在运行时更改散景图。这是我到目前为止所尝试的：

import numpy as np
import pandas as pd
from bokeh.core.properties import value
from bokeh.models.widgets import Paragraph,PreText,RadioButtonGroup
from bokeh.layouts import widgetbox
from bokeh.models.widgets import CheckboxGroup, RadioGroup
from bokeh.layouts import column, row
from bokeh.models import ColumnDataSource,LabelSet,CustomJS,Row
from bokeh.plotting import figure, show,save
from bokeh.transform import dodge
from bokeh.palettes import Viridis

colors = ["#c9d9d3", "#718dbf", "#e84d60"]

dataframe = pd.read_csv('Experience.csv')

source = ColumnDataSource(dataframe)
exp = dataframe['Experience']
ys = list(dataframe.keys())
ys.remove('Experience')
TOOLTIPS = [("Experience", "@Experience")]

p = figure(x_range=exp, y_range=(0, 100), plot_height=350, tools=['hover','save','reset','zoom_out','zoom_in','pan','box_zoom'],tooltips=TOOLTIPS)
stacked = p.vbar_stack(stackers=ys, x='Experience',color=colors,source=source,legend=[value(x) for x in ys],name=ys,width=0.5,)

colorList = Viridis[len(ys)]
labels = []
for y, offset, color in zip(ys, [-0.25, 0, 0.25], colorList):
    bar = p.vbar(x=dodge('Experience', offset, range=p.x_range), top=y, width=0.2, source=source, legend=y + ' ', color=color)
    bar.visible = False

radiogroup = RadioGroup(labels = ["StackedBar", "Bar"], active = 0,)
radiogroup.callback = CustomJS(args = dict(stacked = stacked, bar = bar), code = """
    for (i in stacked)
        stacked[i].visible = false;

    bar.visible = false;

    if (cb_obj.active == 0)
        for (i in stacked)
            stacked[i].visible = true;
    else if (cb_obj.active == 1)
        bar.visible = true; """)

layout = Row(p, radiogroup)
show(layout)

它在一个图中显示了两个图表，但我想要条形图默认值，当我点击单选按钮时，图表应该根据点击事件发生变化。这是我的完整代码..请检查并告诉我做错了什么

4

2 回答 2

1

请参阅下面的代码并进行一些小的更正：

import os
import numpy as np
import pandas as pd
from bokeh.core.properties import value
from bokeh.models.widgets import Paragraph, PreText, RadioButtonGroup
from bokeh.layouts import widgetbox
from bokeh.models.widgets import CheckboxGroup, RadioGroup
from bokeh.layouts import column, row
from bokeh.models import ColumnDataSource, LabelSet, CustomJS, Row
from bokeh.plotting import figure, show, save
from bokeh.transform import dodge
from bokeh.palettes import Viridis

colors = ["#c9d9d3", "#718dbf", "#e84d60"]

dataframe = pd.read_csv(os.path.join(os.path.dirname(__file__), 'Experience.csv'))

source = ColumnDataSource(dataframe)
exp = dataframe['Experience']
ys = list(dataframe.keys())
ys.remove('Experience')
TOOLTIPS = [("Experience", "@Experience")]

p = figure(x_range = exp, y_range = (0, 100), plot_height = 350, tools = ['hover', 'save', 'reset', 'zoom_out', 'zoom_in', 'pan', 'box_zoom'], tooltips = TOOLTIPS)
stacked = p.vbar_stack(stackers = ys, x = 'Experience', color = colors, source = source, legend = [value(x) for x in ys], name = ys, width = 0.5,)

colorList = Viridis[len(ys)]
labels = []
bars = []
for y, offset, color in zip(ys, [-0.25, 0, 0.25], colors):
    bar = p.vbar(x = dodge('Experience', offset, range = p.x_range), top = y, width = 0.2, source = source, color = color)
    bar.visible = False
    bars.append(bar)

radiogroup = RadioGroup(labels = ["StackedBar", "Bar"], active = 0,)
radiogroup.callback = CustomJS(args = dict(stacked = stacked, bars = bars), code = """
    for (i in stacked)
        stacked[i].visible = false;

    for (i in bars)
        bars[i].visible = false;

    if (cb_obj.active == 0)
        for (i in stacked)
            stacked[i].visible = true;
    else if (cb_obj.active == 1)
        for (i in bars)
            bars[i].visible = true; """)

layout = Row(p, radiogroup)
show(layout)

在此处输入图像描述

于 2019-05-09T11:54:25.210 回答
1

返回一个字形列表，vbar_stack因此您需要分别切换它们的可见性，如下所示：

from bokeh.plotting import show, figure
from bokeh.models import RadioGroup, CustomJS, Row
from bokeh.models.sources import ColumnDataSource
import pandas as pd

data = {'fruits' : ['Apples', 'Pears', 'Nectarines', 'Plums', 'Grapes', 'Strawberries'],
        '2015'   : [2, 1, 4, 3, 2, 4],
        '2016'   : [5, 3, 4, 2, 4, 6],
        '2017'   : [3, 2, 4, 4, 5, 3]}
df = pd.DataFrame(data)
df['total'] = df.sum(axis = 1)

p = figure(x_range = data['fruits'], title = "Fruit Counts by Year", tools = "hover", tooltips = "$name     @fruits: @$name")

vbar_stack = p.vbar_stack(["2015", "2016", "2017"], x = 'fruits', width = 0.9, color = ["#c9d9d3", "#718dbf", "#e84d60"], source = data)
vbar = p.vbar(x = 'fruits', width = 0.5, top = 'total', source = ColumnDataSource(df))
vbar.visible = False

radiogroup = RadioGroup(labels = ["StackedBar", "Bar"], active = 0,)
radiogroup.callback = CustomJS(args = dict(vbar_stack = vbar_stack, vbar = vbar), code = """
    for (i in vbar_stack)
        vbar_stack[i].visible = false;

    vbar.visible = false;

    if (cb_obj.active == 0)
        for (i in vbar_stack)
            vbar_stack[i].visible = true;
    else if (cb_obj.active == 1)
        vbar.visible = true; """)

layout = Row(p, radiogroup)
show(layout)

在此处输入图像描述

于 2019-05-08T21:10:10.030 回答