将工具提示添加到散景堆积条形图

Question

考虑垂直堆积条形图，其中每列由多个条形（段）组成。是否可以在每个细分上添加工具提示？目前，相同的工具提示附加到组成列的所有段。

from bokeh.core.properties import value
from bokeh.io import show, output_file
from bokeh.models import ColumnDataSource
from bokeh.plotting import figure
from bokeh.models import HoverTool

fruits = ['Apples', 'Pears', 'Nectarines', 'Plums', 'Grapes', 'Strawberries']
years = ["2015", "2016", "2017"]
colors = ["#c9d9d3", "#718dbf", "#e84d60"]

data = {'fruits' : fruits,
        '2015'   : [2, 1, 4, 3, 2, 4],
        '2016'   : [5, 3, 4, 2, 4, 6],
        '2017'   : [3, 2, 4, 4, 5, 3]}

source = ColumnDataSource(data=data)

p = figure(x_range=fruits, plot_height=250, title="Fruit Counts by Year",
           toolbar_location=None, tools="")

p.vbar_stack(years, x='fruits', width=0.9, color=colors, source=source,
             legend=[value(x) for x in years])


tooltips = HoverTool(
tooltips=[
    ("2015", "@2015"),
    ("2016", "@2016"),
    ("2017", "@2017"),
    ("index", "$index")
    ]
)

p.add_tools(tooltips)

show(p)

Answer 1

这可以通过使用基本字形来完成。分别为每年添加栏，并添加一个hovertool。

from bokeh.core.properties import value
from bokeh.io import show, output_file, output_notebook
from bokeh.models import ColumnDataSource
from bokeh.plotting import figure
from bokeh.models import HoverTool
from copy import deepcopy

fruits = ['Apples', 'Pears', 'Nectarines', 'Plums', 'Grapes', 'Strawberries']
years = ["2015", "2016", "2017"]
colors = ["#c9d9d3", "#718dbf", "#e84d60"]

data = {'fruits' : fruits,
        '2015'   : [2, 1, 4, 3, 2, 4],
        '2016'   : [5, 3, 4, 2, 4, 6],
        '2017'   : [3, 2, 4, 4, 5, 3]}
#deepcopy the data for later use
data1 =deepcopy(data)

#create cumulative sum over years for plotting using vbar
for i in range(1,len(years)):
    data[years[i]] = [sum(x) for x in zip(data[years[i]], data[years[i-1]])]

p = figure(x_range=fruits, plot_height=250, title="Fruit Counts by Year",
           toolbar_location=None, tools="")


#create bars for each years 
for i in range(len(years)):
    if i==0:
        rx = p.vbar(x=fruits, top=data[years[i]], bottom=[0]*len(fruits), width=0.9, color=colors[i], legend=years[i])
        rx.data_source.add(data1[years[i]], "count") #add a column in data source for just the count
    else:
        rx = p.vbar(x=fruits, top=data[years[i]], bottom=data[years[i-1]], width=0.9, color=colors[i], legend=years[i])
        rx.data_source.add(data1[years[i]], "count") #add a column in data source for just the count

#add hover tool for each bar chart        
for i in range(len(years)):
    p.add_tools(HoverTool(tooltips=[(str(years[i]), "@count"),("Fruit", "@x")], renderers=[r[i]]))

#output_notebook()
show(p)

Answer 2

我调整了Aritesh的代码，所以它会为我运行：

from bokeh.core.properties import value
from bokeh.io import show, output_file, output_notebook
from bokeh.models import ColumnDataSource
from bokeh.plotting import figure
from bokeh.models import HoverTool
from copy import deepcopy

fruits = ['Apples', 'Pears', 'Nectarines', 'Plums', 'Grapes', 'Strawberries']
years = ["2015", "2016", "2017"]
colors = ["#c9d9d3", "#718dbf", "#e84d60"]

data = {'fruits' : fruits,
        '2015'   : [2, 1, 4, 3, 2, 4],
        '2016'   : [5, 3, 4, 2, 4, 6],
        '2017'   : [3, 2, 4, 4, 5, 3]}
#deepcopy the data for later use
data1 =deepcopy(data)

#create cumulative sum over years for plotting using vbar
for i in range(1,len(years)):
    data[years[i]] = [sum(x) for x in zip(data[years[i]], data[years[i-1]])]

p = figure(x_range=fruits, plot_height=250, title="Fruit Counts by Year",
           toolbar_location=None, tools="")


#create bars for each years
rx = []
for i in range(len(years)):
    if i==0:
        rx.append(p.vbar(x=fruits, top=data[years[i]], bottom=[0]*len(fruits), width=0.9, color=colors[i], legend=years[i]))
        rx[i].data_source.add(data1[years[i]], "count") #add a column in data source for just the count
    else:
        rx.append(p.vbar(x=fruits, top=data[years[i]], bottom=data[years[i-1]], width=0.9, color=colors[i], legend=years[i]))
        rx[i].data_source.add(data1[years[i]], "count") #add a column in data source for just the count

#add hover tool for each bar chart
for i in range(len(years)):
    p.add_tools(HoverTool(tooltips=[(str(years[i]), "@count"),("Fruit", "@x")], renderers=[rx[i]]))

#output_notebook()
show(p)