def make_plots(run, build=False, publish=False):
figures = {}
pfx = 'zp_tttt_'
figures[pfx + 'xs_v_gt'] = zp_xs_v_gt(run, 'tttt')
for var, gt in product(['pt', 'eta'],
[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]):
gt_s = '{:.1f}'.format(gt).replace('.', 'p')
figures[pfx + 'top_{}_v_m_{}'.format(var, gt_s)] = zp_kinem_v_m(run, gt, var, 'tttt')
mpb.render(figures, build=build)
mpb.generate_report(figures, '2HDM Studies',
output='hists.html',
source=__file__)
if publish:
mpb.publish()
import numpy as np
import matplotlib.pyplot as plt
import matplotboard as mpb
@mpb.decl_fig
def cool_fig(func, scale, color="b"):
xs = np.linspace(-scale, scale, 100)
f = {
"sin": lambda xs: np.sin(xs),
"tan": lambda xs: np.tan(xs),
"exp": lambda xs: np.exp(xs),
}[func]
ys = f(xs)
plt.plot(xs, ys, color=color)
if __name__ == "__main__":
mpb.configure(multiprocess=True)
figures = {}
for color, function, scale in product(
"rbgk", ["sin", "tan", "exp"], np.linspace(1, 20, 20)
):
figures[f"{function}_{color}_{int(scale)}"] = cool_fig(
function, scale, color=color
)
mpb.render(figures)
mpb.generate_report(figures, "Report")
import numpy as np
import matplotlib.pyplot as plt
import matplotboard as mpb
@mpb.decl_fig
def cool_fig():
xs = np.linspace(-10, 10, 100)
ys = xs**2
plt.plot(xs, ys)
if __name__ == '__main__':
figures = {
'cool_fig': cool_fig(),
}
mpb.render(figures)
mpb.generate_report(figures, 'Report')
yerr = np.nan_to_num(yerr, nan=0, posinf=0, neginf=0)
plt.errorbar(xs, ratio, xerr=xerr, yerr=yerr)
plt.ylim(0.5, 2.0)
plt.ylabel('(S+B)/B')
plt.xlabel('Pulse Height (V)')
return txt
if __name__ == '__main__':
plt.style.use(hep.style.CMS)
plots = {
'comparison-ph1-2020_03_10':
pulse_height_comparison([
('2020_03_10', 'nosrc_1', 'Background'),
('2020_03_10', 'withsrc_1', 'With Source'),
], 'Comparison'),
'comparison-ph2-2020_03_10':
pulse_height_comparison([
('2020_03_10', 'nosrc_2', 'Background'),
('2020_03_10', 'withsrc_2', 'With Source'),
], 'Comparison'),
'comparison-ph1-2020_03_13':
pulse_height_comparison([
('2020_03_13', 'nosrc', 'Background'),
('2020_03_13', 'withsrc', 'With Source'),
], 'Comparison'),
}
mpb.render(plots)
mpb.generate_report(plots, 'Scintillator Traces')
I happened to have a couple *really* fantastic figures on my computer that I
want to include as well. How do I include them? It's easy! Just add them to
the list of figures with the `loc_fig` function and they will be marked to be
copied to the output directory. Here are a couple examples:
<div class="row">
<div class="col-md-6 row_fig">
fig::image8
</div>
<div class="col-md-6 row_fig">
fig::image10
</div>
</div>
"""
if __name__ == "__main__":
mpb.configure(multiprocess=True)
figures = {}
for color, function, scale in product("rbgk", ["sin", "tan", "exp"],
np.linspace(1, 5, 5)):
figures[f"{function}_{color}_{int(scale)}"] = cool_fig(function,
scale,
color=color)
figures["image8"] = mpb.loc_fig("figures/image8.png")
figures["image10"] = mpb.loc_fig("figures/image10.png")
mpb.render(figures)
mpb.generate_report(figures, "Report", body=report)