hepi.plot

Module Contents

Functions

title(axe, i: hepi.input.Input, scenario='', diff_L_R=None, extra='', cms_energy=True, pdf_info=True, **kwargs)
energy_plot(dict_list, y, yscale=1.0, xaxis='E [GeV]', yaxis='$\\sigma$ [pb]', label=None, **kwargs)
combined_energy_plot(dict_list, t, **kwargs)
combined_plot(func, dict_list, t, *args, label=None, fill=False, fmt='.', interpolate=True, **kwargs)
mass_plot(dict_list, y, part, logy=True, yaxis='$\\sigma$ [pb]', yscale=1.0, label=None, **kwargs)
mass_vplot(dict_list, y, part, logy=True, yaxis='$\\sigma$ [pb]', yscale=1.0, label=None, mask=None, **kwargs)
get_mass(l: dict, id: int)	Get the mass of particle with id id out of the list in the "slha" element in the dict.
plot(dict_list, x, y, label=None, xaxis='E [GeV]', yaxis='$\\sigma$ [pb]', ratio=False, K=False, K_plus_1=False, logy=True, yscale=1.0, mask=None, **kwargs)
index_open(var, idx)
slha_data(li, index_list)
slha_plot(li, x, y, **kwargs)
vplot(x, y, label=None, xaxis='E [GeV]', yaxis='$\\sigma$ [pb]', logy=True, yscale=1.0, interpolate=True, plot_data=True, data_color=None, mask=-1, fill=False, data_fmt='.', fmt='-', print_area=False, **kwargs)
mass_mapplot(dict_list, part1, part2, z, logz=True, zaxis='$\\sigma$ [pb]', zscale=1.0, label=None)
mapplot(dict_list, x, y, z, xaxis=None, yaxis=None, zaxis=None, **kwargs)
map_vplot(vx, vy, vz, xaxis=None, yaxis=None, zaxis=None, logz=True, zscale=1.0)
err_plt(axes, x, y, label=None, error=False)
scale_plot(dict_list, vl, seven_point_band=False, cont=False, error=True, li=None, plehn_color=False, yscale=1.0, unit='pb', yaxis=None, **kwargs)
central_scale_plot(dict_list, vl, cont=False, error=True, yscale=1.0, unit='pb', yaxis=None)
mass_and_K_plot(dl, li, p, scale=False, pdf=False, plehn=True, combined=False, cont=False, figsize=(6, 8), **kwargs)
mass_and_ratio_plot(dl, li, p, scale=False, pdf=False, combined=False, cont=False, figsize=(6, 4), plot_data=True, fill=True, unit='pb', yscale=1.0, ylim=None, **kwargs)

Attributes

fig
axs
lines
labels

hepi.plot.title(axe, i: hepi.input.Input, scenario='', diff_L_R=None, extra='', cms_energy=True, pdf_info=True, **kwargs)

hepi.plot.energy_plot(dict_list, y, yscale=1.0, xaxis='E [GeV]', yaxis='$\\sigma$ [pb]', label=None, **kwargs)

hepi.plot.combined_energy_plot(dict_list, t, **kwargs)

hepi.plot.combined_plot(func, dict_list, t, *args, label=None, fill=False, fmt='.', interpolate=True, **kwargs)

hepi.plot.mass_plot(dict_list, y, part, logy=True, yaxis='$\\sigma$ [pb]', yscale=1.0, label=None, **kwargs)

hepi.plot.mass_vplot(dict_list, y, part, logy=True, yaxis='$\\sigma$ [pb]', yscale=1.0, label=None, mask=None, **kwargs)

hepi.plot.get_mass(l: dict, id: int)

Get the mass of particle with id id out of the list in the “slha” element in the dict.

Returns

list of float : masses of particles in each element of the dict list.

hepi.plot.plot(dict_list, x, y, label=None, xaxis='E [GeV]', yaxis='$\\sigma$ [pb]', ratio=False, K=False, K_plus_1=False, logy=True, yscale=1.0, mask=None, **kwargs)

hepi.plot.index_open(var, idx)

hepi.plot.slha_data(li, index_list)

hepi.plot.slha_plot(li, x, y, **kwargs)

hepi.plot.vplot(x, y, label=None, xaxis='E [GeV]', yaxis='$\\sigma$ [pb]', logy=True, yscale=1.0, interpolate=True, plot_data=True, data_color=None, mask=- 1, fill=False, data_fmt='.', fmt='-', print_area=False, **kwargs)

hepi.plot.mass_mapplot(dict_list, part1, part2, z, logz=True, zaxis='$\\sigma$ [pb]', zscale=1.0, label=None)

hepi.plot.mapplot(dict_list, x, y, z, xaxis=None, yaxis=None, zaxis=None, **kwargs)

hepi.plot.map_vplot(vx, vy, vz, xaxis=None, yaxis=None, zaxis=None, logz=True, zscale=1.0)

hepi.plot.fig

hepi.plot.axs

hepi.plot.lines = []

hepi.plot.labels = []

hepi.plot.err_plt(axes, x, y, label=None, error=False)

hepi.plot.scale_plot(dict_list, vl, seven_point_band=False, cont=False, error=True, li=None, plehn_color=False, yscale=1.0, unit='pb', yaxis=None, **kwargs)

hepi.plot.central_scale_plot(dict_list, vl, cont=False, error=True, yscale=1.0, unit='pb', yaxis=None)

hepi.plot.mass_and_K_plot(dl, li, p, scale=False, pdf=False, plehn=True, combined=False, cont=False, figsize=(6, 8), **kwargs)

hepi.plot.mass_and_ratio_plot(dl, li, p, scale=False, pdf=False, combined=False, cont=False, figsize=(6, 4), plot_data=True, fill=True, unit='pb', yscale=1.0, ylim=None, **kwargs)