Question

我想使用Bokeh HoverTool和Line / Scatter Plot。贝娄是代码（大部分来自http://bokeh.pydata.org/docs/gallery/correlation.html）。在我的例子中，Hover仅显示＆＃34; acme＆＃34;我无法弄清楚如何让它适用于另一条线路＃43; choam＆＃34;。任何建议/解决方案？

from numpy import cumprod, linspace, random
import time
from bokeh.plotting import *
from bokeh.objects import GridPlot, HoverTool

num_points = 20

now = time.time()
dt = 24*3600 
dates = linspace(now, now + num_points*dt, num_points)
acme = cumprod(random.lognormal(0.0, 0.04, size=num_points))
choam = cumprod(random.lognormal(0.0, 0.04, size=num_points))

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

source = ColumnDataSource(
    data=dict(
        acme=acme,
        choam=choam,
        dates=dates
    )
)

figure(x_axis_type = "datetime", tools="hover,pan,wheel_zoom,box_zoom,reset,previewsave")

hold()

line(dates, acme, color='#1F78B4', legend='ACME')
line(dates, choam, color='#FB9A99', legend='CHOAM')

scatter(dates, acme, color='#1F78B4', source = source, fill_color=None, size=8)
scatter(dates, choam, color='#33A02C', fill_color=None, size=8)

curplot().title = "Stock Returns"
grid().grid_line_alpha=0.3


hover = [t for t in curplot().tools if isinstance(t, HoverTool)][0]
hover.tooltips = OrderedDict([
    ('Price', "@acme"),
    ('Price', "@choam"),
    ('Date', "@dates"),
    ('Date', "@dates"),
])

show()

Answer 1

使用0.8，我使用了类似的东西来绘制多个图：

source1 = ColumnDataSource(
    data=dict(
        acme=acme,
        dates=dates
    )
)

source2 = ColumnDataSource(
    data=dict(
        choam=choam,
        dates=dates
    )
)

scatter(dates, acme, color='#1F78B4', source = source1, fill_color=None, size=8)
scatter(dates, choam, color='#33A02C', source = source2, fill_color=None, size=8)

无法保证它会继续工作 - 仍在等待行工具提示：）

与HoverTool的散景线图

1 个答案: