[英]Python Bokeh tool - How to display hovertool with datetime formatter xaxis from bokeh?
I using the bokeh vbar chart tool for my energy datas. 我将bokeh vbar图表工具用于能源数据。 If I use the tuple(string,string,..) for xaxis then it successfully worked. 如果我将元组(string,string,..)用于xaxis,则它可以成功工作。 But I use the datetimetickformatter for xaxis then hover tool never display. 但是我将datetimetickformatter用于xaxis,所以悬停工具从不显示。
My sample code is here: 我的示例代码在这里:
from bokeh.io import show, output_file
from bokeh.models import ColumnDataSource, DatetimeTickFormatter,HoverTool
from bokeh.plotting import figure
from datetime import datetime
output_file("bar_colormapped.html")
dt1=datetime(2018,8,1)
dt2=datetime(2018,8,2)
dt3=datetime(2018,8,3)
dt4=datetime(2018,8,4)
dt5=datetime(2018,8,5)
dt6=datetime(2018,8,6)
fruits = [dt1,dt2,dt4,dt5,dt6]
counts = [5, 3, 4, 4, 6]
source = ColumnDataSource(data=dict(fruits=fruits, counts=counts))
tooltips=[
("val", "@counts")
]
p = figure(plot_height=350, toolbar_location=None, title="Fruit Counts",x_axis_type='datetime',tooltips=tooltips)
p.vbar(x='fruits', top='counts', width=0.9, source=source)
p.xaxis.formatter=DatetimeTickFormatter(
minutes=["%M"],
hours=["%H:%M"],
days=["%d/%m/%Y"],
months=["%m/%Y"],
years=["%Y"],
)
p.xgrid.grid_line_color = None
p.y_range.start = 0
p.y_range.end = 9
p.legend.orientation = "horizontal"
p.legend.location = "top_center"
show(p)
This is in the documentation: 在文档中:
https://docs.bokeh.org/en/latest/docs/user_guide/tools.html#formatting-tooltip-fields https://docs.bokeh.org/en/latest/docs/user_guide/tools.html#formatting-tooltip-fields
Presumably in your specific case, something like: 大概在您的特定情况下,类似于:
hover = HoverTool(tooltips=[('date', '@fruits{%F}'), ('val', '@counts')],
formatters=dict(fruits='datetime'))
p.add_tools(hover)
Also your bars are far too thin for hit testing. 此外,您的金属棒太薄,无法进行命中测试。 The units on a datetime scale is milliseconds since epoch, but your range covers many months. 日期时间刻度上的单位是自纪元以来的毫秒数,但您的范围涵盖了数月。 To the bars need to be much wider to show up on that scale. 至此,条形图需要更宽才能显示出来。 Eg width=10000000
yields: 例如, width=10000000
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