def _feather_plot(data,plot_subdir,f_x = lambda x: x.Separation,
xlim=[-20, 150]):
_, ylim = ProcessingUtil.nm_and_pN_limits(data, f_x=f_x)
for i,d in enumerate(data):
fig = PlotUtilities.figure()
ProcessingUtil.plot_single_fec(d, f_x, xlim, ylim, markevery=1,
i=i)
x = f_x(d) * 1e9
for i in d.info_feather.event_idx:
plt.axvline(x[i])
name = FEC_Util.fec_name_func(0,d)
PlotUtilities.savefig(fig,plot_subdir + name + ".png")
def _plot_fec_list(list_v,
xlim,
ylim,
label=None,
color=None,
linewidth=0.3,
**kw):
f_x = lambda x_tmp: x_tmp.Separation
for i, d in enumerate(list_v):
label_tmp = label if i == 0 else None
ProcessingUtil.plot_single_fec(d,
f_x,
xlim,
ylim,
label=label_tmp,
style_data=dict(color=color,
alpha=0.3,
linewidth=linewidth),
i=i,
**kw)