Linear_cmap applied to patches

Hello,

I am trying to use a linear color mapper as fill color in a patches object. So far i have got to the conclusion that the values which the color is being mapped to is evaluated as NaN since the drawing turns all red using the minimal reproducible example below.

from bokeh.plotting import figure, show
from bokeh.transform import linear_cmap
from colorcet import coolwarm

x = [[1, 2, 3, 4]]
y = [[2, 3, 2, 4]]

p = figure(width=400, height=400)
color = linear_cmap('y', palette=coolwarm, low=1, high=3,nan_color='red')
source = {'x': x, 'y': y}
p.patches('x', 'y', source=source,fill_color = color)

show(p)

I guess this has something to do with the ‚Äėy‚Äô column in source containing list of lists? Am i doing something wrong or is there a workaround?

@Alex_Kolby Yes, Alex it has to do with the use of patches where the x, y data is a list of lists. In your example, you have defined 1 patch.
The syntax is:

xs = [[x data patch 0], [x data patch 1], ... ]
ys = [[y data patch 0], [y data patch 1], ... ]

So you would need to add a field to your source that got values to map against. Eg for 2 patches:

x = [[4, 5, 6], [7, 8, 9]] # list of 2 lists (patches)
y = [[2, 4, 3], [2, 5, 3]]
value = [2, 5]              # 2 values

See the example below

from bokeh.plotting import figure, show
from bokeh.transform import linear_cmap
from bokeh.palettes import Blues8

x = [[1, 2, 3, 4]]
y = [[2, 3, 2, 4]]
value = [2]

p = figure(width=400, height=400)
color = linear_cmap('value', palette=Blues8, low=1, high=3,nan_color='red')
source = {'x': x, 'y': y, 'value': value}
p.patches('x', 'y', source=source,fill_color = color)

x2 = [[4, 5, 6], [7, 8, 9]]
y2 = [[2, 4, 3], [2, 5, 3]]
value2 = [2, 5]

color2 = linear_cmap(
	'value', palette=Blues8,
	low=1, high=3,
	nan_color='red', 
	high_color = 'orange'
	)
source2 = {'x': x2, 'y': y2, 'value': value2}
p.patches('x', 'y', source=source2,fill_color = color2)

show(p)
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