Arrows are not “vectorizable” like glyphs. They only draw one Arrow (with up to two ArrowHeads) at a time. You can set the colors to individual color constants, like “red” or “#ee64ff”. The do not use column names.
On Jun 14, 2018, at 15:52, peng wang pmjz...@gmail.com wrote:
I already know what the reason is , because of NormalHead(line_color=“B2SArrowColors”)
Does it mean we can not customize arrowHead color?
welcome any comments. Thanks a lot
On Thursday, June 14, 2018 at 3:54:07 PM UTC-6, peng wang wrote:
the code below may not work, is it possible to associate source with arrow?
from random import randrange
from bokeh.io import curdoc
from bokeh.plotting import figure
from bokeh.layouts import layout
from bokeh.models import ColumnDataSource, Arrow, NormalHead
plot = figure()
source = ColumnDataSource(data={‘x0’: , ‘y0’: , ‘x1’: , ‘y1’: })
if the plot only contains annotations it screws up range and scrolling
plot.circle(x=0, y=0)
plot.add_layout(
Arrow(end=NormalHead(), x_start=‘x0’, y_start=‘y0’, x_end=‘x1’,
y_end=‘y1’, source=source))
On Thursday, June 14, 2018 at 3:44:11 PM UTC-6, peng wang wrote:
subplot_dict[‘arrow_start_y’] = [10, 10, 10, 10, 10, 10, 15, 15, 15, 15, 15, 15]
subplot_dict[‘arrow_end_y’] = [20, 20, 20, 20, 20, 20, 25, 25, 25, 25, 25, 25]
subplot_source = ColumnDataSource(data=subplot_dict)
subplot = figure(x_range = [0, 80], y_range = [0, 30], plot_width=100, plot_height=50, toolbar_location=None, sizing_mode='scale_width')
subplot_height = 50
subplot_weight = 190
subplot.add_layout(Arrow(end=NormalHead(line_color="B2SArrowColors", line_width=4),
x_start='arrow_start_x', y_start=10, x_end='arrow_end_x', y_end=10, line_width=15, source=subplot_source))
I like to create a group of arrows based on source, but if I run code above, only one arrow is displayed. any comments? thanks a lot
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