如何使用图例点击策略隐藏 Python 散景图中的直线和圆圈？

Question

我有一个Python散景图（多条线+圆）如下：

 output_notebook()

source = ColumnDataSource(da)

col_names = paises

p = figure(
 title = "A",
 x_axis_type="datetime",
 plot_width=800,
 plot_height=400,
 sizing_mode='scale_width',
 toolbar_location='above',
 tools ="box_zoom,reset,wheel_zoom" )

p_dict = dict()


for col, c, col_name in zip(da.columns, color, col_names):
 p_dict[col_name] = p.circle('date', col, source=source, color=c, size=3.5, line_width=0.5, fill_color=None)
 p_dict[col_name] = p.line('date', col, source=source, color=c, line_width=1) 

 p.add_tools(HoverTool( 
     toggleable=False,
     renderers=[p_dict[col_name]],
     tooltips=[('datetime','@date{%F}'),(col, f'@{col}')],
     formatters={'@date': 'datetime'}
 ))


legend = Legend(items=[(x, [p_dict[x]]) for x in p_dict])


p.add_layout(legend)

p.legend.click_policy="hide"

p.legend.label_text_font_size = "1vw"
p.legend.location = 'top_left'
p.left[0].formatter.use_scientific = False

show(p)

我正在使用 legend.click_policy="hide" 来隐藏线条，但是当单击图例时，只隐藏圆而不隐藏线条。有没有办法同时隐藏线和圆？

谢谢！

Answer 1

如果你能避免手动构建图例，你可以只提供相同的字形函数legend_name:

from bokeh.io import show
from bokeh.models import ColumnDataSource
from bokeh.plotting import figure

source = ColumnDataSource(dict(x=[0, 1, 2], y=[0, 2, 1]))

p = figure()

p.line('x', 'y', source=source, legend_label='line_with_circles')
p.circle('x', 'y', source=source, legend_label='line_with_circles')

p.legend.click_policy = "hide"
p.legend.location = 'top_left'

show(p)

如果您必须手动创建图例，只需创建一个图例项并为它提供两个渲染器。

Answer 2

我意识到我必须 post 完整的代码（我已经更改了它以便很好地理解问题）。我找到了将图例添加到 for 循环的解决方案：

output_notebook()

source = ColumnDataSource(da)

col_names = paises

p = figure(
    title = "A",
    x_axis_type="datetime",
    plot_width=800,
    plot_height=400,
    sizing_mode='scale_width',
    toolbar_location='above',
    tools ="box_zoom,reset,wheel_zoom" )

p_dict = dict()


for col, c, col_name, leg in zip(da.columns, color, col_names, paises):
    p_dict[col_name] = p.circle('date', col, source=source, color=c, size=3.5, line_width=0.5, fill_color=None, legend_label = leg)
    p_dict[col_name] = p.line('date', col, source=source, color=c, line_width=1, legend_label = leg) 

    p.add_tools(HoverTool( 
        toggleable=False,
        renderers=[p_dict[col_name]],
        tooltips=[('datetime','@date{%F}'),(col, f'@{col}')],
        formatters={'@date': 'datetime'}
    ))


p.legend.click_policy="hide"

p.legend.label_text_font_size = "1vw"
p.legend.location = 'top_left'
p.left[0].formatter.use_scientific = False

show(p)

如何使用图例点击策略隐藏 Python 散景图中的直线和圆圈？

How to hide both line and circle in Python Bokeh plot using legend click policy?

python

plot

bokeh