问题描述
如何在散景烛台图上获得这样的工具提示：
或/和这样的标签：
到目前为止，我绘制图表的代码如下：
import pandas as pd
import numpy as np
from bokeh.plotting import figure,output_notebook,show
from bokeh.models import Linearaxis,Range1d,Segment,Legend
from bokeh.models.formatters import NumeralTickFormatter,DatetimeTickFormatter
from bokeh.palettes import Category20
output_notebook()
def init_chart(name):
# Tools Selections:
TOOLS = "pan,xwheel_zoom,Box_zoom,crosshair,undo,redo,reset,save"
p = figure(x_axis_type="datetime",tools=TOOLS,title = name)
p.add_layout(Legend(click_policy="hide",orientation='horizontal',spacing=20),'below')
p.sizing_mode = 'scale_both'
return p
def init_price_volume_chart(p,df):
RED = Category20[7][6]
GREEN = Category20[5][4]
inc = df.Close > df.Open
dec = df.Open > df.Close
w = 12*60*60*1000 # half day in ms
p.x_range = Range1d(df.index[0],df.index[-1])
p.xaxis[0].formatter = DatetimeTickFormatter(months="%b %Y",days="%d %b %Y")
p.xaxis.axis_label = 'Date'
p.xaxis.major_label_orientation = 3.1415/4
p.xaxis.ticker.desired_num_ticks = 40
# left y axis
low,high = df.Low.min(),df.High.max()
p.y_range = Range1d(low * 0.9,high * 1.1)
p.yaxis.axis_label = 'Price'
p.yaxis[0].formatter = NumeralTickFormatter(format="0,0.00")
p.segment(df.index,df.High,df.index,df.Low,color=GREEN,legend_label='Candlestick')
p.vbar(df.index[inc],w,df.Open[inc],df.Close[inc],fill_color=GREEN,line_color=GREEN,legend_label='Candlestick')
p.vbar(df.index[dec],df.Open[dec],df.Close[dec],fill_color=RED,line_color=RED,legend_label='Candlestick')
# right y axis
p.extra_y_ranges.update({'two': Range1d(0,1.1*df.Volume.max())})
p.add_layout(Linearaxis(y_range_name='two',axis_label='Volume' ),'right')
p.yaxis[1].formatter = NumeralTickFormatter(format="0a")
p.vbar(df.index[inc],df.Volume[inc],[0]*inc.sum(),alpha=0.5,level='underlay',legend_label='Volume',y_range_name='two')
p.vbar(df.index[dec],df.Volume[dec],[0]*dec.sum(),y_range_name='two')
return p
解决方法
您的散景烛台由两个字形组成：vbar 和 segment。在下面的代码中，vbar 上只有一个工具提示，但您也可以将它添加到 segment（为 Bokeh v2.1.1 制作的代码）我还省略了不相关的代码以使代码看起来更简单.
import pandas as pd
from bokeh.plotting import figure,output_notebook,show
from bokeh.models import Legend,HoverTool,ColumnDataSource
from bokeh.palettes import Category20
from datetime import datetime,timedelta
output_notebook()
df = pd.DataFrame({"index": [datetime(2017,1,1) + timedelta(days=x) for x in range(0,3)],"Open": [3,2,3],"Low": [2,0.5,2.5],"High": [5,3,4.5],"Close": [4,"Volume": [10000,20000,10000]})
df_red = df.loc[(df['Open'] >= df['Close'])]
df_green = df.loc[(df['Close'] >= df['Open'])]
source = ColumnDataSource(df)
source_red = ColumnDataSource(df_red)
source_green = ColumnDataSource(df_green)
RED = Category20[7][6]
GREEN = Category20[5][4]
w = 12*60*60*1000
def init_chart(name):
# Tools Selections:
TOOLS = "pan,xwheel_zoom,box_zoom,crosshair,undo,redo,reset,save"
p = figure(x_axis_type="datetime",tools=TOOLS,title = name,plot_width = 1200,plot_height=500)
p.add_layout(Legend(click_policy="hide",orientation='horizontal',spacing=20),'below')
p.sizing_mode = 'scale_both'
return p
p = init_chart('Plot1')
segmnts_green = p.segment('index','High','index','Low',color=GREEN,source=source_green,legend_label='Up')
segmnts_red = p.segment('index',color=RED,source=source_red,legend_label='Down')
vbars_green = p.vbar('index',w,'Open','Close',fill_color=GREEN,line_color=GREEN,legend_label='Up')
vbars_red = p.vbar('index',fill_color=RED,line_color=RED,legend_label='Down')
tooltips=[('open','@Open'),('close','@Close'),('low','@Low'),('high','@High')]
red_hover = HoverTool(renderers=[vbars_red],tooltips=tooltips)
p.add_tools(red_hover)
green_hover = HoverTool(renderers=[vbars_green],tooltips=tooltips)
p.add_tools(green_hover)
show(p)
结果：
