def plot_spectrum(spec, config):
""" Plot spectra for each of the spectrum dimensions (e.g. energy)
Args:
Spec (:class:`echidna.core.spectra.Spectra`): Spectrum object to
be plotted
config (:class:`SpectraConfig`): configuration object
"""
for v in config.getpars():
plot.plot_projection(spec, v)
def plot_spectrum(spec):
""" Plot spectra for each of the three spectrum dimensions:
Energy, radius and time
Args:
Spec (:class:`echidna.core.spectra.Spectra`): Spectrum object to
be plotted
"""
plot.plot_projection(spec, 0)
plot.plot_projection(spec, 1)
plot.plot_projection(spec, 2)
# Another useful way to inspect the `Spectra` created is to plot it. Support
# is available within echidna to plot using either `ROOT` or `matplotlib`
# and there are some useful plotting functions available in the `plot` an
# `plot_root` modules.
# In[ ]:
import echidna.output.plot as plot
import echidna.output.plot_root as plot_root
# To plot the projection of the spectrum on the `energy_mc` axis:
# In[ ]:
fig1 = plot.plot_projection(spectrum, "energy_mc",
fig_num=1, show_plot=False)
# and to plot the projection on the `radial_mc` axis, this time using root:
# In[ ]:
plot_root.plot_projection(spectrum, "radial_mc", fig_num=2)
# We can also project onto two dimensions and plot a surface:
# In[ ]:
fig_3 = plot.plot_surface(spectrum, "energy_mc", "radial_mc",
fig_num=3, show_plot=False)
# ## Convolution and cuts