用于金融交易指标的通用悬停工具

Question

我想知道我是否在单个图形上有烛台，ema，sma，如何添加显示日期的蜡烛值（高，低，开盘，收盘价）和该日期的sema的悬停工具？] >

示例代码：

import numpy as np
import pandas as pd
from bokeh.io import show
from bokeh.plotting import figure
from bokeh.models import ColumnDataSource

df=pd.read_excel(x1)
##x is a dataset consisting date,high,close,low,open,ema5,ema20                
df['mid']=df.apply(lambda x:(x['open']+x['close'])/2,axis=1)
df['height']=df.apply(lambda x:abs(x['close']-x['open'] if x['close']!=x['open'] else 0.001),axis=1)

inc = df.close > df.open           
dec = df.open > df.close
increase=ColumnDataSource(ColumnDataSource.from_df(df.loc[inc]))
decrease=ColumnDataSource(ColumnDataSource.from_df(df.loc[dec]))
seqs=np.arange(df.shape[0])
df["seq"]=pd.Series(seqs)

TOOLS = "xpan,crosshair,zoom_in, zoom_out,box_zoom,pan,reset,xwheel_zoom"
p = figure( x_axis_type='linear', active_scroll='xwheel_zoom',active_drag='xpan',tools=TOOLS, plot_width=1375, plot_height= 350,title = 'trading indicators',y_axis_label='Price_15mins')

p.xaxis.major_label_overrides = {
                i: date.strftime("%m/%d/%Y, %H:%M:%S") for i, date in enumerate((copy_df["date"]))
            }
p.segment(df.seq[inc], df.high[inc], df.seq[inc], df.low[inc], color="green")

p.segment(df.seq[dec], df.high[dec], df.seq[dec], df.low[dec], color="red")

p.rect(x='seq', y='mid', height='height', width=0.3, fill_color='green',line_color="green", source=increase)

p.rect(x='seq', y='mid',height='height',width=0.3, fill_color="red", line_color="red", source=decrease)
p.line(df.seq,df['EMA5'], color='green',alpha=0.7,muted_color='green', muted_alpha=0.1, legend_label="EMA5")
p.line(df.seq,df['EMA20'], color='red',alpha=0.7,muted_color='red', muted_alpha=0.1, legend_label="EMA20")
show(p)
[我在这里需要一个悬停显示，在悬停时我可以在x轴上同时看到特定日期的高，低，打开，关闭，ema5，ema20，类似于图中的Sample image。

我想知道单个图形上是否有烛台，ema，sma，如何添加显示日期的蜡烛值（高，低，开盘，收盘价）和该日期的sema的悬浮工具？示例...

Answer 1

使用Google "bokeh hover"我找到了tools_hover_tooltip_formatting.py并基于它创建了