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Make found peaks more visible

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usov_i 2020-10-22 11:29:32 +02:00
parent 0c38f9b2d7
commit 44e461f180
1 changed files with 5 additions and 5 deletions
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10
pyzebra/app/panel_ccl_integrate.py
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@ -6,9 +6,9 @@ import tempfile
import numpy as np import numpy as np
from bokeh.layouts import column, row from bokeh.layouts import column, row
from bokeh.models import ( from bokeh.models import (
Asterisk,
BasicTicker, BasicTicker,
Button, Button,
Circle,
ColumnDataSource, ColumnDataSource,
CustomJS, CustomJS,
DataRange1d, DataRange1d,
@ -126,11 +126,11 @@ def create():
else: else:
peak_pos_textinput.value = str([meas["om"][ind] for ind in peak_indexes]) peak_pos_textinput.value = str([meas["om"][ind] for ind in peak_indexes])
plot_circle_source.data.update(x=meas["om"][peak_indexes], y=meas["peak_heights"]) plot_peak_source.data.update(x=meas["om"][peak_indexes], y=meas["peak_heights"])
plot_line_smooth_source.data.update(x=x, y=meas["smooth_peaks"]) plot_line_smooth_source.data.update(x=x, y=meas["smooth_peaks"])
else: else:
peak_pos_textinput.value = None peak_pos_textinput.value = None
plot_circle_source.data.update(x=[], y=[]) plot_peak_source.data.update(x=[], y=[])
plot_line_smooth_source.data.update(x=[], y=[]) plot_line_smooth_source.data.update(x=[], y=[])
peak_pos_textinput_lock = False peak_pos_textinput_lock = False
@ -209,8 +209,8 @@ def create():
plot_bkg_source = ColumnDataSource(dict(x=[0], y=[0])) plot_bkg_source = ColumnDataSource(dict(x=[0], y=[0]))
plot.add_glyph(plot_bkg_source, Line(x="x", y="y", line_color="green", line_dash="dashed")) plot.add_glyph(plot_bkg_source, Line(x="x", y="y", line_color="green", line_dash="dashed"))
plot_circle_source = ColumnDataSource(dict(x=[], y=[])) plot_peak_source = ColumnDataSource(dict(x=[], y=[]))
plot.add_glyph(plot_circle_source, Circle(x="x", y="y")) plot.add_glyph(plot_peak_source, Asterisk(x="x", y="y", size=10, line_color="red"))
numfit_min_span = Span(location=None, dimension="height", line_dash="dashed") numfit_min_span = Span(location=None, dimension="height", line_dash="dashed")
plot.add_layout(numfit_min_span) plot.add_layout(numfit_min_span)