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Reorg of app code to support conda entry points
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@@ -1,105 +1,5 @@ | ||
import bokeh.plotting | ||
from schedview.app.metric_maps.metric_maps import add_metric_app | ||
import bokeh | ||
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from rubin_sim import maf | ||
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from schedview.plot.SphereMap import ArmillarySphere, Planisphere, MollweideMap | ||
from schedview.collect.stars import load_bright_stars | ||
from schedview.collect import get_metric_path | ||
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def make_metric_figure(metric_values_fname=None, nside=32, mag_limit_slider=True): | ||
"""Create a figure showing multiple projections of a set of a MAF metric. | ||
Parameters | ||
---------- | ||
metric_values_fname : `str`, optional | ||
Name of file from which to load metric values, as saved by MAF | ||
in a saved metric bundle. If it is None, the look for the | ||
file name in the ``METRIC_FNAME`` environment varable. By default None | ||
nside : `int`, optional | ||
Healpix nside to use for display, by default 8 | ||
mag_limit_slider : `bool`, optional | ||
Show the mag limit slider for stars?, by default True | ||
Returns | ||
------- | ||
fig : `bokeh.models.layouts.LayoutDOM` | ||
A bokeh figure that can be displayed in a notebook (e.g. with | ||
``bokeh.io.show``) or used to create a bokeh app. | ||
Notes | ||
----- | ||
If ``mag_limit_slider`` is ``True``, it creates a magnitude limit | ||
slider for the stars. This is implemented as a python callback, and | ||
so is only operational in full bokeh app, not standalone output. | ||
""" | ||
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if metric_values_fname is None: | ||
metric_values_fname = get_metric_path() | ||
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healpy_values = maf.MetricBundle.load(metric_values_fname).metricValues | ||
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star_data = load_bright_stars().loc[:, ["name", "ra", "decl", "Vmag"]] | ||
star_data["glyph_size"] = 15 - (15.0 / 3.5) * star_data["Vmag"] | ||
star_data.query("glyph_size>0", inplace=True) | ||
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arm = ArmillarySphere() | ||
hp_ds, cmap, _ = arm.add_healpix(healpy_values, nside=nside) | ||
hz = arm.add_horizon() | ||
zd70 = arm.add_horizon(zd=70, line_kwargs={"color": "red", "line_width": 2}) | ||
star_ds = arm.add_stars( | ||
star_data, mag_limit_slider=mag_limit_slider, star_kwargs={"color": "black"} | ||
) | ||
arm.decorate() | ||
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pla = Planisphere() | ||
pla.add_healpix(hp_ds, cmap=cmap, nside=nside) | ||
pla.add_horizon(data_source=hz) | ||
pla.add_horizon( | ||
zd=60, data_source=zd70, line_kwargs={"color": "red", "line_width": 2} | ||
) | ||
pla.add_stars( | ||
star_data, | ||
data_source=star_ds, | ||
mag_limit_slider=False, | ||
star_kwargs={"color": "black"}, | ||
) | ||
pla.decorate() | ||
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mol_plot = bokeh.plotting.figure(plot_width=512, plot_height=256, match_aspect=True) | ||
mol = MollweideMap(plot=mol_plot) | ||
mol.add_healpix(hp_ds, cmap=cmap, nside=nside) | ||
mol.add_horizon(data_source=hz) | ||
mol.add_horizon( | ||
zd=70, data_source=zd70, line_kwargs={"color": "red", "line_width": 2} | ||
) | ||
mol.add_stars( | ||
star_data, | ||
data_source=star_ds, | ||
mag_limit_slider=False, | ||
star_kwargs={"color": "black"}, | ||
) | ||
mol.decorate() | ||
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figure = bokeh.layouts.row( | ||
bokeh.layouts.column(mol.plot, *arm.sliders.values()), arm.plot, pla.plot | ||
) | ||
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return figure | ||
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def add_metric_app(doc): | ||
"""Add a metric figure to a bokeh document | ||
Parameters | ||
---------- | ||
doc : `bokeh.document.document.Document` | ||
The bokeh document to which to add the figure. | ||
""" | ||
figure = make_metric_figure() | ||
doc.add_root(figure) | ||
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if __name__.startswith("bokeh_app_"): | ||
doc = bokeh.plotting.curdoc() | ||
add_metric_app(doc) | ||
doc = bokeh.plotting.curdoc() | ||
add_metric_app(doc) |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,105 @@ | ||
import bokeh.plotting | ||
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from rubin_sim import maf | ||
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from schedview.plot.SphereMap import ArmillarySphere, Planisphere, MollweideMap | ||
from schedview.collect.stars import load_bright_stars | ||
from schedview.collect import get_metric_path | ||
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||
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def make_metric_figure(metric_values_fname=None, nside=32, mag_limit_slider=True): | ||
"""Create a figure showing multiple projections of a set of a MAF metric. | ||
Parameters | ||
---------- | ||
metric_values_fname : `str`, optional | ||
Name of file from which to load metric values, as saved by MAF | ||
in a saved metric bundle. If it is None, the look for the | ||
file name in the ``METRIC_FNAME`` environment varable. By default None | ||
nside : `int`, optional | ||
Healpix nside to use for display, by default 8 | ||
mag_limit_slider : `bool`, optional | ||
Show the mag limit slider for stars?, by default True | ||
Returns | ||
------- | ||
fig : `bokeh.models.layouts.LayoutDOM` | ||
A bokeh figure that can be displayed in a notebook (e.g. with | ||
``bokeh.io.show``) or used to create a bokeh app. | ||
Notes | ||
----- | ||
If ``mag_limit_slider`` is ``True``, it creates a magnitude limit | ||
slider for the stars. This is implemented as a python callback, and | ||
so is only operational in full bokeh app, not standalone output. | ||
""" | ||
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if metric_values_fname is None: | ||
metric_values_fname = get_metric_path() | ||
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healpy_values = maf.MetricBundle.load(metric_values_fname).metricValues | ||
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star_data = load_bright_stars().loc[:, ["name", "ra", "decl", "Vmag"]] | ||
star_data["glyph_size"] = 15 - (15.0 / 3.5) * star_data["Vmag"] | ||
star_data.query("glyph_size>0", inplace=True) | ||
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arm = ArmillarySphere() | ||
hp_ds, cmap, _ = arm.add_healpix(healpy_values, nside=nside) | ||
hz = arm.add_horizon() | ||
zd70 = arm.add_horizon(zd=70, line_kwargs={"color": "red", "line_width": 2}) | ||
star_ds = arm.add_stars( | ||
star_data, mag_limit_slider=mag_limit_slider, star_kwargs={"color": "black"} | ||
) | ||
arm.decorate() | ||
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pla = Planisphere() | ||
pla.add_healpix(hp_ds, cmap=cmap, nside=nside) | ||
pla.add_horizon(data_source=hz) | ||
pla.add_horizon( | ||
zd=60, data_source=zd70, line_kwargs={"color": "red", "line_width": 2} | ||
) | ||
pla.add_stars( | ||
star_data, | ||
data_source=star_ds, | ||
mag_limit_slider=False, | ||
star_kwargs={"color": "black"}, | ||
) | ||
pla.decorate() | ||
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mol_plot = bokeh.plotting.figure(plot_width=512, plot_height=256, match_aspect=True) | ||
mol = MollweideMap(plot=mol_plot) | ||
mol.add_healpix(hp_ds, cmap=cmap, nside=nside) | ||
mol.add_horizon(data_source=hz) | ||
mol.add_horizon( | ||
zd=70, data_source=zd70, line_kwargs={"color": "red", "line_width": 2} | ||
) | ||
mol.add_stars( | ||
star_data, | ||
data_source=star_ds, | ||
mag_limit_slider=False, | ||
star_kwargs={"color": "black"}, | ||
) | ||
mol.decorate() | ||
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figure = bokeh.layouts.row( | ||
bokeh.layouts.column(mol.plot, *arm.sliders.values()), arm.plot, pla.plot | ||
) | ||
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return figure | ||
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def add_metric_app(doc): | ||
"""Add a metric figure to a bokeh document | ||
Parameters | ||
---------- | ||
doc : `bokeh.document.document.Document` | ||
The bokeh document to which to add the figure. | ||
""" | ||
figure = make_metric_figure() | ||
doc.add_root(figure) | ||
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if __name__.startswith("bokeh_app_"): | ||
doc = bokeh.plotting.curdoc() | ||
add_metric_app(doc) |
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