Question

这是我到目前为止的例子，仅供参考。

import numpy as np
from bokeh.models import ColumnDataSource, Range1d, LinearAxis, HoverTool
from bokeh.plotting import figure, output_file, show
import pandas as pd
import datetime

base_df = pd.DataFrame()
ini = datetime.datetime.today().date()
base_df['Date'] = [ini - datetime.timedelta(days=x) for x in range(0, 60)]
base_df['Y_axis_1'] = [np.random.random()*100 for x in range(0, 60)]
base_df['Y_axis_2'] = [np.random.random()*100 + 100 for x in range(0, 60)]
TOOLS = "pan,wheel_zoom,box_zoom,reset,save"
xdr = Range1d(start=0, end=100)
yplt = Range1d(start=100, end=0)

source = ColumnDataSource(base_df)

plot = figure(tools=TOOLS, toolbar_location="above", logo=None, y_range=yplt, plot_width=1200, plot_height=700, title='Multi_Yaxis_hover', x_axis_type='datetime')
plot.background_fill_color = "#dddddd"
plot.xaxis.axis_label = "Date"
plot.yaxis.axis_label = "Range_1"
plot.grid.grid_line_color = "white"

plot.triangle('Date', 'Y_axis_1', size=6, source=source, color='green', line_color="green", fill_alpha=0.8, legend='Axis_Y_1')

plot.extra_y_ranges = {"foo": Range1d(start=100, end=200)}
plot.add_layout(LinearAxis(y_range_name="foo", axis_label="Range_2",), 'right')

plot.circle(base_df.Date, base_df.Y_axis_2, y_range_name='foo', color='brown', legend='Axis_Y_2')
hover1 = HoverTool(tooltips=[("Value", "@Y_axis_1"), ("Date", "@Date{%F}")],
                   formatters={'Date': 'datetime'}, mode='mouse', line_policy='nearest')
plot.add_tools(hover1)

output_file('Multi_Yaxis_hover.html', title='Multi_Yaxis_hover example')

show(plot)

我试图将第二个悬停工具设置到额外的Y轴上，就像下面的代码一样：

hover2 = HoverTool(tooltips=[("Value", "@Y_axis_2"), ("Date", "@Date{%F}")],
                   formatters={'Date': 'datetime'}, mode='mouse', line_policy='nearest')
plot.add_tools(hover2)

但是它在第二个轴上没有作用，仅在第一个轴上有作用。如何将悬停工具设置为第二个Y轴？谢谢

Answer 1

如果您使用的工具提示值前面带有@，例如@Y_axis_2，它始终且仅引用数据源列中的值。没有其他的。因此，除非您在数据源中有一列"Y_axis_2"，否则完全不会出现任何内容。

听起来您想直接在鼠标下方显示坐标？该文档描述了少数类似的"special variables"。它们都以$开头。 $x和$y将在鼠标下方显示坐标。但是，从散景0.13开始，它只能在主轴（第一）轴上使用。从不同的轴显示值将需要进行新的功能开发工作，因此GitHub功能请求问题将是适当的。

Answer 2

TOOLS = "pan,box_zoom,reset,lasso_select,save,box_select,xzoom_in,crosshair"

# create a new plot (with a title) using figure
source_data = {'x':x, 'yy':yy, 'y':y}
source = ColumnDataSource(source_data)
p = figure(
    plot_width=1500, 
    plot_height=500, 
    title="My Line Plot",
    tools=TOOLS,
    x_axis_type="datetime",
    y_range=(0,y.max()+1)
)

line = p.line(x='x', y='y', line_color="orange", line_width=2, source=source)
p.extra_y_ranges = {"volume": Range1d(start=0, end=1.5*np.max(yy))}
p.vbar(x='x', top='yy', width=0.5,color="grey", y_range_name="volume",source=source)
p.add_layout(LinearAxis(y_range_name="volume"), 'right')




hover1 = HoverTool(
    tooltips = [
        ("updatedAt", "@x{%Y-%m-%d %H:%M:%S}"),
        ("layPrice0", "@y{0.00}"),
        ("laySize0", "@yy{0}"),
    ],
    formatters={
        "x": "datetime",
        "y": "numeral",
        "yy": "numeral",       
   },

)


p.add_tools(hover1)

p.xaxis.formatter=DatetimeTickFormatter(
    minutes = ["%Y-%m-%d %H:%M:%S"],
    hourmin = ["%Y-%m-%d %H:%M:%S"],
    hours=["%Y-%m-%d %H:%M:%S"],
    days=["%Y-%m-%d %H:%M:%S"],
    months=["%Y-%m-%d %H:%M:%S"],
    years=["%Y-%m-%d %H:%M:%S"],
)            

output_file("legend.html", title="legend.py example")

show(p)  # open a browser

使用bokeh Python将hovertool添加到第二个Y轴

2 个答案: