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我想繪製包含工具提示的折線圖,但下面的代碼導致在工具提示中顯示行的所有值,而不是顯示這些座標的單個值顯示行的所有值的散景工具提示
#Import the library
import pandas
import itertools
import bokeh
import MySQLdb
from bokeh.plotting import figure, output_file, show
from bokeh.models import HoverTool
TOOLS='hover'
wells=['F1','F2','F3','F4','F5','F6','F7','F8','F9','F10','F11','F12','G1','G2','G3','G4','G5','G6','G7','G8','G9','G10','G11','G12']
p = figure(plot_width=800, plot_height=640,x_axis_type="datetime", tools=TOOLS)
p.title.text = 'Click on legend entries to hide the corresponding lines'
# Open database connection
db = MySQLdb.connect("localhost","user","password","db")
#pallete for the lines
my_palette=bokeh.palettes.inferno(len(wells))
#create a statement to get the data
for name, color in zip(wells,my_palette):
stmnt='select date_time,col1,wells,test_value from db where wells="%s"'%(name)
#creating dataframe
df=pandas.read_sql(stmnt,con=db)
p.scatter(df['date_time'], df['test_value'], line_width=2, color=color, alpha=0.8, legend=name,)
#Inserting tool tip
hover = p.select(dict(type=HoverTool))
hover.tooltips = [("Wells","@wells"),("Date","@%s"%(df['date_time'])),("Values","@%s"%(df['test_value']))]
hover.mode = 'mouse'
#Adding a legend
p.legend.location = "top_right"
output_file("interactive_legend.html", title="interactive_legend.py example")
show(p)
我想只有一次好,DATE_TIME,Test_value在給定的鼠標移到例如