color_bar = ColorBar(color_mapper=mapper,
major_label_text_align='left',
major_label_text_font_size='10pt',
label_standoff=2,
location=(0, 0),
formatter=formatter,
title="(ADU)",
title_text_baseline="alphabetic")
p.add_layout(color_bar, 'right')
p.xaxis.major_label_text_font_size = '0pt' # turn off x-axis tick labels
p.yaxis.major_label_text_font_size = '0pt' # turn off y-axis tick labels
p.xaxis.major_tick_line_color = None # turn off x-axis major ticks
p.xaxis.minor_tick_line_color = None # turn off x-axis minor ticks
p.yaxis.major_tick_line_color = None # turn off y-axis major ticks
p.yaxis.minor_tick_line_color = None # turn off y-axis minor ticks
#infos
info, nlines = write_info('getbias', tests['getbias'])
txt = PreText(text=info, height=nlines * 20, width=p.plot_width)
info_col = Div(text=write_description('getbias'), width=p.plot_width)
ptxt = column(widgetbox(info_col), p)
#output_notebook()
# End of Bokeh Block
curdoc().add_root(ptxt)
curdoc().title = "GETBIAS"
hover_line_color='red')
taptool = p.select(type=TapTool)
taptool.callback = OpenURL(url=url)
## px.circle('x1','y1', source = source_comp, radius = 0.015,
## fill_color = 'lightgray', line_color='black', line_width=0.3)
# bokeh.pydata.org/en/latest/docs/reference/models/annotations.html
xcolor_bar = ColorBar(color_mapper=mapper,
label_standoff=-13,
major_label_text_font_style="bold",
padding=26,
major_label_text_align='right',
major_label_text_font_size="10pt",
location=(0, 0))
p.add_layout(xcolor_bar, 'left')
#infos
info, nlines = write_info('skypeak', tests['skypeak'])
txt = PreText(text=info, height=nlines * 20, width=p.plot_width)
info_col = Div(text=write_description('skypeak'), width=p.plot_width)
p2txt = column(widgetbox(info_col), p)
layout = gridplot([[p2txt]])
# End of Bokeh Block
curdoc().add_root(layout)
curdoc().title = "SKYPEAK"
major_label_text_font_size='10pt',
label_standoff=2,
location=(0, 0),
formatter=formatter,
title="(ADU)",
title_text_baseline="alphabetic")
p.add_layout(color_bar, 'right')
p.xaxis.major_label_text_font_size = '0pt' # turn off x-axis tick labels
p.yaxis.major_label_text_font_size = '0pt' # turn off y-axis tick labels
p.xaxis.major_tick_line_color = None # turn off x-axis major ticks
p.xaxis.minor_tick_line_color = None # turn off x-axis minor ticks
p.yaxis.major_tick_line_color = None # turn off y-axis major ticks
p.yaxis.minor_tick_line_color = None # turn off y-axis minor ticks
#infos
info, nlines = write_info('getrms', tests['getrms'])
info = """<div>
<body><p style="text-align:left; color:#262626; font-size:20px;">
<b>Get RMS</b> <br>Used to calculate RMS of region of 2D image, including overscan.</body></div>"""
nlines = 2
txt = Div(text=info, width=p.plot_width)
info_col = Div(text=write_description('getrms'), width=p.plot_width)
ptxt = column(widgetbox(info_col), p)
# End of Bokeh Block
curdoc().add_root(ptxt)
curdoc().title = "GETRMS"
# marking the Hover point
p2.circle('ra',
'dec',
source=source2,
radius=0.0186,
fill_color=None,
line_color=None,
hover_fill_color={
'field': 'integ',
'transform': mapper
},
line_width=3,
hover_line_color='red')
color_bar.formatter = formatter
p2.add_layout(color_bar, 'left')
#infos
info, nlines = write_info('integ', tests['integ'])
txt = PreText(text=info, height=nlines * 20, width=p2.plot_width)
p2txt = column(widgetbox(txt), p2)
#layout = gridplot([[p2txt]], responsive=False)
info_col = Div(text=write_description('integ'), width=p2.plot_width)
layout = column(info_col, p2)
# End of Bokeh Block
curdoc().add_root(layout)
curdoc().title = "INTEG"
p.text(x="x", y="y_offset1", text="amp", text_font_size="18pt", **text_props)
formatter = PrintfTickFormatter(format='%2.1e')
color_bar = ColorBar(color_mapper=mapper,
major_label_text_align='left',
major_label_text_font_size='10pt',
label_standoff=2,
location=(0, 0),
formatter=formatter,
title="(ADU)",
title_text_baseline="alphabetic")
p.add_layout(color_bar, 'right')
p.xaxis.major_label_text_font_size = '0pt' # turn off x-axis tick labels
p.yaxis.major_label_text_font_size = '0pt' # turn off y-axis tick labels
p.xaxis.major_tick_line_color = None # turn off x-axis major ticks
p.xaxis.minor_tick_line_color = None # turn off x-axis minor ticks
p.yaxis.major_tick_line_color = None # turn off y-axis major ticks
p.yaxis.minor_tick_line_color = None # turn off y-axis minor ticks
#infos
info, nlines = write_info('countpix', tests['countpix'])
txt = PreText(text=info, height=nlines * 20, width=p.plot_width)
info_col = Div(text=write_description('countpix'), width=2 * p.plot_width)
ptxt = column(widgetbox(info_col), p)
# End of Bokeh Block
curdoc().add_root(ptxt)
curdoc().title = "COUNTPIX"
fill_color=None,
line_color=None,
line_width=3,
hover_line_color='red',
hover_fill_color='lightgrey')
taptool = p2.select(type=TapTool)
taptool.callback = OpenURL(url=url)
color_bar = ColorBar(color_mapper=mapper,
label_standoff=-13,
major_label_text_font_style='bold',
padding=26,
major_label_text_align='right',
major_label_text_font_size="10pt",
location=(0, 0))
p2.add_layout(color_bar, 'left')
#infos
info, nlines = write_info('skycont', tests['skycont'])
txt = PreText(text=info, height=nlines * 20, width=p2.plot_width)
info_col = Div(text=write_description('skycont'), width=p2.plot_width)
p2txt = column(widgetbox(info_col), p2)
layout = gridplot([[p2txt]], responsive=False)
# End of Bokeh Block
curdoc().add_root(layout)
curdoc().title = "SKYCONT"
plot_height=240,
tools=[skr_hover, "pan,box_zoom,reset,crosshair, lasso_select"])
p1.line('wl', 'med_resid', source=skyres_source)
p2 = Figure(title='WAVG_RESID_WAVE',
x_axis_label='Angstrom',
plot_width=720,
plot_height=240,
tools=[wavg_hover, "pan,box_zoom,reset,crosshair, lasso_select"])
p2.line('wl', 'wavg_resid', source=skyres_source)
'''p1.circle('wl', 'med_resid', source=skyres_source, alpha = 0, size=1,
hover_alpha=1,
hover_fill_color='orange', hover_line_color='red') '''
'''p2.circle('wl', 'wavg_resid', source=skyres_source, alpha=0, size=1,
hover_alpha=1,
hover_fill_color='orange', hover_line_color='red')'''
p1.x_range = p2.x_range
info, nlines = write_info('skyresid', tests['skyresid'])
txt = PreText(text=info, height=nlines * 20, width=p2.plot_width)
info_col = Div(text=write_description('skyresid'), width=p2.plot_width)
p2txt = column(widgetbox(info_col), p1, p2)
#layout=column(p1,p2)
curdoc().add_root(p2txt)
curdoc().title = "SKYRESID"