def fivepanel_reference_star(cmap=orion_cmap, **kwargs):
"""
Makes a specific basic_lc plot of a chosen reference star.
"""
sourceid = 44199508496440
# from spread
j_mean = 14.05166016
h_mean = 13.45332571
k_mean = 13.24733934
stardata = OrionStarData(source_photometry, sourceid)
fig = basic_lc(stardata, time_cmap=cmap, **kwargs)
fig.ax_khk.set_ylim(13.40, 13.00)
fig.ax_khk.set_xlim(0, 0.4)
xticks = np.linspace(0, 0.4, 6)
fig.ax_khk.set_xticks(xticks)
fig.ax_jhk.set_xlim(0, 1)
fig.ax_jhk.set_ylim(0, 1.2)
fig.ax_k.set_ylim(k_mean + 0.1, k_mean - 0.1)
fig.ax_h.set_ylim(h_mean + 0.1, h_mean - 0.1)
fig.ax_j.set_ylim(j_mean + 0.1, j_mean - 0.1)
return fig
def fivepanel_by_oncvar(oncvar, cmap=orion_cmap, **kwargs):
"""
Makes a basic_lc plot 'smartly' based on an input ONCvar ID.
"""
sourceid = ukvar_spread['SOURCEID'][ukvar_spread['UKvar_ID'] == oncvar][0]
stardata = OrionStarData(variables_photometry, sourceid)
return basic_lc(stardata, time_cmap=cmap, **kwargs)
def generate_nonperiodic_lightcurves(spreadsheet,
path,
name_column='preliminary_ID',
test=False):
assert hasattr(spreadsheet, name_column)
if not path.endswith('/'):
path += '/'
relevant_data = photometry_data.where(
np.in1d(photometry_data.SOURCEID, spreadsheet.SOURCEID))
sdlist = [
plot4.StarData(relevant_data,
x,
date_offset=56141,
name='{0}: {1}'.format(y, x))
for y, x in zip(spreadsheet[name_column], spreadsheet.SOURCEID)
]
for sdx in sdlist:
fig = plot4.basic_lc(sdx)
fig.ax_k.set_xlim(0, 250)
if sdx.sid in q2_variables.SOURCEID:
q_string = '2'
elif sdx.sid in q1_variables.SOURCEID:
q_string = '1'
else:
q_string = '0'
fig.ax_j.set_title('{0}, Q={1}'.format(sdx.name, q_string))
fig.ax_khk.set_title("S = {0:.3}".format(sdx.Stetson()))
fig.canvas.draw()
plt.savefig('{1}{0}.png'.format(sdx.name, path))
plt.close()
if test: break
return path
