散景悬停工具提示显示来自不同列的数据

Question

我有下面的代码。我希望条形图的悬停工具提示显示它们来自哪个帐户。我不清楚 hover.tooltips 参数应该如何用于从数据框中的 account 列检索数据。

import pandas as pd
from bokeh.plotting import figure, output_notebook, show
output_notebook()

sales = [{'account': 'Jones LLC', 'sales': 150, 'day' : 1},
         {'account': 'Alpha Co',  'sales': 200, 'day' : 2},
         {'account': 'Blue Inc',  'sales': 50, 'day' : 3}]
df = pd.DataFrame(sales)

TOOLS = "hover,save,pan,box_zoom,reset,wheel_zoom"
p = figure(plot_width=400, plot_height=400, y_axis_label="sales", tools=TOOLS)
p.vbar(x=df.day, bottom=0, top=df.sales, width=0.25)

hover = p.select(dict(type=HoverTool))
hover.tooltips = [("account", "@account")]

show℗

第二个可重现的示例，其中工具提示未显示

import pandas as pd
from bokeh.plotting import figure, output_notebook, show
from bokeh.models import HoverTool
output_notebook()

data = {'rt_by': ['somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename', 'somename'], 'to_followers': [473, 301, 172, 149, 2422, 106, 16, 3173, 562, 354, 1154, 301, 1228, 261, 204, 471, 2422, 22, 222, 965, 965, 869, 473, 63452, 3095, 220, 2177, 22, 69, 128, 2422, 1277, 702, 959, 365, 398, 3928], 'date': ['2018-01-25 16:39:03','2018-01-25 16:51:06','2018-01-25 17:05:31','2018-01-25 17:11:30','2018-01-25 21:31:26','2018-01-25 21:56:12','2018-01-25 23:15:17','2018-01-28 07:14:48','2018-01-28 07:43:35','2018-01-28 12:22:26','2018-01-28 20:15:29','2018-01-28 20:42:11','2018-01-29 07:35:38','2018-01-29 08:28:07','2018-01-29 09:32:24','2018-01-29 13:45:28','2018-01-29 14:53:12','2018-01-30 07:18:18','2018-01-30 07:19:13','2018-01-30 08:55:06','2018-01-30 09:10:30','2018-01-30 09:48:13','2018-01-30 09:49:13','2018-01-30 10:02:40','2018-01-30 10:06:55','2018-01-30 10:15:16','2018-01-30 10:40:50','2018-01-30 10:42:27','2018-01-30 10:46:07','2018-01-30 11:13:12','2018-01-30 11:13:34','2018-01-30 11:54:37','2018-01-30 12:17:02','2018-01-30 12:18:00','2018-01-30 12:26:04','2018-01-30 14:25:18','2018-01-30 14:32:12']}
df = pd.DataFrame.from_dict(data)
df['date'] = pd.to_datetime(df['date'])


TOOLS = "hover,save,pan,box_zoom,reset,wheel_zoom"

p = figure(plot_width=800, plot_height=400, tools=TOOLS)

p.vbar(x='date', bottom=0, top='to_followers', width=1, source=df)

hover = p.select(type=HoverTool)
hover.tooltips = [("rt_by", "@rt_by")]

show(p)

Answer 1

如果您将数据直接传递给字形方法 vbar 等，那么 Bokeh 只会准确发送您提供的内容，仅此而已。如果你想发送额外的数据列（例如在悬停工具中显示），那么你必须通过为字形指定 source 参数并引用列名称来安排。以前这意味着您自己从数据帧创建一个 ColumnDataSource，但是对于最新版本的 Bokeh，您可以直接传递数据帧。有关完整详细信息，请参阅用户指南章节 Providing Data。完整示例如下：

import pandas as pd
from bokeh.models import HoverTool
from bokeh.plotting import figure, output_file, show

output_file("foo.html")

sales = [{'account': 'Jones LLC', 'sales': 150, 'day' : 1},
         {'account': 'Alpha Co',  'sales': 200, 'day' : 2},
         {'account': 'Blue Inc',  'sales': 50, 'day' : 3}]
df = pd.DataFrame(sales)

TOOLS = "hover,save,pan,box_zoom,reset,wheel_zoom"
p = figure(plot_width=400, plot_height=400, y_axis_label="sales", tools=TOOLS)

# THIS LINE CHANGED
p.vbar(x='day', bottom=0, top='sales', width=0.25, source=df)

hover = p.select(dict(type=HoverTool))
hover.tooltips = [("account", "@account")]

show(p)

散景悬停工具提示显示来自不同列的数据

Bokeh hover tooltip to show data from a different column

python

plot

bokeh