def make_plot(cnv_name, test_name, data, d_min, d_max):
plot = figure(title=test_name,
plot_width=700,
plot_height=500,
min_border=0)
glyph1 = VArea(x="x1",
y1="y01",
y2="y1",
fill_color="LightCoral",
fill_alpha=0.6)
glyph2 = VArea(x="x2",
y1="y02",
y2="y2",
fill_color="LightBlue",
fill_alpha=0.6)
plot.add_glyph(data, glyph1)
plot.add_glyph(data, glyph2)
li1 = LegendItem(label='0 (Absent)', renderers=[plot.renderers[0]])
li2 = LegendItem(label='1 (Present)', renderers=[plot.renderers[1]])
legend1 = Legend(items=[li1, li2], location='top_right')
plot.add_layout(legend1)
plot.legend.title = cnv_name
return plot
def test_VArea() -> None:
glyph = VArea()
assert glyph.x == field("x")
assert glyph.y1 == field("y1")
assert glyph.y2 == field("y2")
check_fill_properties(glyph)
check_hatch_properties(glyph)
check_properties_existence(glyph, [
"x",
"y1",
"y2",
], FILL, HATCH, GLYPH)
def test_VArea() -> None:
glyph = VArea()
assert glyph.x is None
assert glyph.y1 is None
assert glyph.y2 is None
check_fill_properties(glyph)
check_hatch_properties(glyph)
check_properties_existence(glyph, [
"x",
"y1",
"y2",
], FILL, HATCH, GLYPH)
stdxy = beam_pvs['beam:sigma_x'].value
maxr = beam_pvs['beam:max_r'].value
power_on = caget('laser_on')
return dict(x=avgz, y1=(avgx + stdxy)*power_on, y2=(avgx - stdxy)*power_on)
beamsize_source = ColumnDataSource( data=get_beam_data(beam_pvs) )
def get_fractional_laser_power(laser_pvs, pvdb):
return (laser_pvs['laser:power'].value)/pvdb['input'][f'{prefix}laser:power']['hilim']
frac_power = get_fractional_laser_power(laser_pvs, pvdb)
avgz = beam_pvs['beam:mean_z'].value
beamsize_plot = figure(plot_height=200, plot_width=800, title="vB24", tools="crosshair,pan,reset,save,wheel_zoom", x_range=[0, avgz[-1]], y_range=[-5,5])
beamsize_glyph = VArea(x="x", y1="y1", y2="y2", fill_color="blue", fill_alpha=frac_power)
beamsize_plot.add_glyph(beamsize_source, beamsize_glyph)
beamsize_plot.xaxis.axis_label = 's (m)'
beamsize_plot.yaxis.axis_label = 'Transverse Beam Size (mm)'
# Transmission plot
T = beam_pvs['beam:transmission'].value
zero = np.zeros( (len(T),) )
Tsource = ColumnDataSource( data=dict(x=avgz, y1=T, y2=zero) )
glyphT = VArea(x="x", y1="y1", y2="y2", fill_color="grey", fill_alpha=frac_power)
transplot = figure(plot_height=200, plot_width=800, title="vB24", tools="crosshair,pan,reset,save,wheel_zoom", x_range=[0, avgz[-1]])
transplot.add_glyph(Tsource, glyphT)
transplot.xaxis.axis_label = 's (m)'
transplot.yaxis.axis_label = 'Transmission (%)'
from bokeh.io import curdoc, show
N = 30
x = np.linspace(-2, 3, N)
y1 = np.zeros(N)
y2 = 10 - x**2
source = ColumnDataSource(dict(x=x, y1=y1, y2=y2))
plot = Plot(title=None,
plot_width=300,
plot_height=300,
min_border=0,
toolbar_location=None)
glyph = VArea(x="x", y1="y1", y2="y2", fill_color="#f46d43")
plot.add_glyph(source, glyph)
xaxis = LinearAxis()
plot.add_layout(xaxis, 'below')
yaxis = LinearAxis()
plot.add_layout(yaxis, 'left')
plot.add_layout(Grid(dimension=0, ticker=xaxis.ticker))
plot.add_layout(Grid(dimension=1, ticker=yaxis.ticker))
curdoc().add_root(plot)
show(plot)
