In Bokeh, how do I add tooltips to a Timeseries chart (hover tool)?

Question

Is it possible to add Tooltips to a Timeseries chart?

In the simplified code example below, I want to see a single column name (\'a\',\'b\' or \'c\') when the mouse

Answer 1

Here is my solution. I inspected the glyph render data source to see what are the names on it. Then I use those names on the hoover tooltips. You can see the resulting plot here.

import numpy as np
from bokeh.charts import TimeSeries
from bokeh.models import HoverTool
from bokeh.plotting import show

toy_df = pd.DataFrame(data=np.random.rand(5,3), columns = ('a', 'b' ,'c'), index = pd.DatetimeIndex(start='01-01-2015',periods=5, freq='d'))   
#Bockeh display dates as numbers so convert to string tu show correctly
toy_df.index = toy_df.index.astype(str) 
p = TimeSeries(toy_df, tools='hover')  

#Next 3 lines are to inspect how are names on gliph to call them with @name on hover
#glyph_renderers = p.select(dict(type=GlyphRenderer))
#bar_source = glyph_renderers[0].data_source
#print(bar_source.data)  #Here we can inspect names to call on hover


hover = p.select(dict(type=HoverTool))
hover.tooltips = [
        ("Series", "@series"),
        ("Date", "@x_values"),
        ("Value", "@y_values"),
        ]

show(p)