hover_line_color='red')
pw.circle('x1',
'y1',
source=source_comp,
radius=0.015,
fill_color='lightgray',
line_color='black',
line_width=0.3)
taptool = pw.select(type=TapTool)
taptool.callback = OpenURL(url=url)
# bokeh.pydata.org/en/latest/docs/reference/models/annotations.html
wcolor_bar = ColorBar(color_mapper=wmapper,
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))
pw.add_layout(wcolor_bar, 'left')
info_col = Div(text=write_description('xwsigma'), width=2 * pw.plot_width)
layoutplot = row([px, pw], responsive=False) #, sizing_mode='scale_width')
layout = column(widgetbox(info_col), layoutplot)
curdoc().add_root(layout)
curdoc().title = "XWSIGMA"
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"
</table>
</div>
"""
txt_keys = [
'CUTLO', 'CUTMED', 'CUTHI', 'NGOODFIB_NORMAL_RANGE', 'NGOODFIB_WARN_RANGE'
]
for i in range(5):
html_str = html_str.replace('%s%s' % ("param", str(i)),
str(tests['countbins'][txt_keys[i]]))
div = Div(text=html_str, width=400, height=200)
# ---------
# plow.legend.location = "top_left"
# layout = gridplot( [phi,pmed,plow,None], ncols=2, plot_width=600, plot_height=600)
layout_plot = gridplot([plow, pmed, phi, div],
ncols=2,
responsive=False,
plot_width=600,
plot_height=600)
info_col = Div(text=write_description('countbins'), width=1200)
layout = column(widgetbox(info_col), layout_plot)
# End of Bokeh Block
curdoc().add_root(layout)
curdoc().title = "COUNTBINS"
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"
# 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"