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Add colorbar to hkl hdf plot

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usov_i 2023-02-15 16:38:18 +01:00
parent e1be4276cd
commit b72033c6b1
1 changed files with 6 additions and 3 deletions
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9
pyzebra/app/panel_plot_data.py
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@ -7,6 +7,7 @@ from bokeh.layouts import column, row
from bokeh.models import ( from bokeh.models import (
Button, Button,
CheckboxGroup, CheckboxGroup,
ColorBar,
ColumnDataSource, ColumnDataSource,
DataRange1d, DataRange1d,
Div, Div,
@ -247,16 +248,18 @@ def create():
plot = figure( plot = figure(
x_range=DataRange1d(), x_range=DataRange1d(),
y_range=DataRange1d(), y_range=DataRange1d(),
plot_height=550, plot_height=550 + 27,
plot_width=550 + 32, plot_width=550 + 117,
tools="pan,wheel_zoom,reset", tools="pan,wheel_zoom,reset",
) )
plot.toolbar.logo = None plot.toolbar.logo = None
color_mapper = LinearColorMapper(nan_color=(0, 0, 0, 0)) color_mapper = LinearColorMapper(nan_color=(0, 0, 0, 0), low=0, high=1)
image_source = ColumnDataSource(dict(image=[np.zeros((1, 1))], x=[0], y=[0], dw=[1], dh=[1])) image_source = ColumnDataSource(dict(image=[np.zeros((1, 1))], x=[0], y=[0], dw=[1], dh=[1]))
plot.image(source=image_source, color_mapper=color_mapper) plot.image(source=image_source, color_mapper=color_mapper)
plot.add_layout(ColorBar(color_mapper=color_mapper, width=15), "right")
scatter_source = ColumnDataSource(dict(x=[], y=[])) scatter_source = ColumnDataSource(dict(x=[], y=[]))
plot.scatter(source=scatter_source, size=4, fill_color="green", line_color="green") plot.scatter(source=scatter_source, size=4, fill_color="green", line_color="green")