我尝试了以下操作,但是颜色保持蓝色。
from bokeh.plotting import figure, show, output_file, ColumnDataSource
TOOLS="hover,crosshair,pan,wheel_zoom,zoom_in,zoom_out,box_zoom,undo,redo,reset,tap,save,box_select,poly_select,lasso_select,"
source = ColumnDataSource(data=dict(
x=[1,2,3,4,5,6],
y=[2,2,4,5,6,7],
desc=['type1', 'type1', 'type2','type2','type1','type1'],
fill_color=['green','grey','grey','red','red','red'],
#fill_alpha=0.6,
#line_color=None
))
TOOLTIPS = [
("index", "$index"),
("(x,y)", "($x, $y)"),
("desc", "@desc"),
("fill_color", "@fill_color")]
p = figure(tools=TOOLS, plot_width=1000, tooltips=TOOLTIPS)
p.scatter(x='x',y='y', source=source)
output_file("color_scatter.html", title="color_scatter.py example")
show(p) # open a browser
如何在bokeh的散布上同时具有标签和独特的颜色?
答案 0 :(得分:1)
您尚未告知scatter
使用数据源中的颜色数据:
p.scatter(x='x', y='y', fill_color='fill_color', source=source)