d2['start_datetime_str'].push(d1['start_datetime_str'][i]);
d2['end_datetime_str'].push( d1['end_datetime_str'][i]);
d2['start_datetime_dt'].push( d1['start_datetime_dt'][i]);
d2['end_datetime_dt'].push( d1['end_datetime_dt'][i]);
}
}
source_sx_persistency.data = d2;
console.log(d2);
source_sx_persistency.change.emit();
"""))
toggle_sx = Toggle(label="Persistence", button_type="success", active=True)
toggle1 = Toggle(label="Word", button_type="success", active=True)
toggle1.js_link('active', r_wcrd_2, 'visible')
toggle2 = Toggle(label="Thumbnail", button_type="success", active=True)
toggle2.js_link('active', r_tcrd_2, 'visible')
slider_alpha_Value = Slider(start=0, end=1, value=1, step=.1, title="Alpha Value")
#slider.on_change('value', slider_onchange)
slider_alpha_Value.js_link('value', image_tcrd, 'global_alpha')
silder_draw_index = Slider(start=0, end=TSET_INTERVAL_NUM-1, value=FIRST_DRAW_INDEX, step=-1, title="Draw Index", direction="rtl", sizing_mode='stretch_width')
callback = CustomJS(
args=dict(
source_wcrd=source_wcrd, source_wcrd_view=source_wcrd_view,
source_tcrd=source_tcrd, source_tcrd_view=source_tcrd_view,
source_sx=source_sx,
source_sx_draw_highlight=source_sx_draw_highlight),
tapdq = DQTapTool(name='Select Peak', callback=correct_cb)
# tapdq.js_on_event(Tap, correct_cb)
# Add lines to graph
plot_canvas.add_glyph(bg_mz,sel_lines['Background'])
highres_canvas.add_glyph(bg_mz4k,sel_lines4k['Background'])
svg_canvas.add_glyph(bg_mzsvg,sel_linessvg['Background'])
ppml = plot_canvas.add_glyph(pp_mean_data, pp_mean, visible=False)
ppsl = plot_canvas.add_glyph(pp_std_data , pp_std , visible=False)
plot_canvas.toolbar.active_tap=None
plot_canvas.toolbar.active_drag=box_selectdq
pp = Toggle(label="Predict adjecent peaks", width=150, height=30)
pp.js_link('active', ppml, 'visible')
pp.js_link('active', ppsl, 'visible')
# pl.js_link('active', plpc, 'visible')
# pl.js_link('active', pl4k, 'visible')
# Defining Mass Finder
mass_finder_line= MultiLine(xs="xs", ys="ys", line_color="#002147", line_width=2, line_alpha=0.5)
mass_finder_data=AjaxDataSource(data=dict(xs=[], ys=[]))
mfl = plot_canvas.add_glyph(mass_finder_data, mass_finder_line, visible=False)
# Define Hovertool
hover = HoverTool()
hover.tooltips = [("m/z", "$x{5.2f}"), ("Abundance", "$y %")]
