sorted_results = results.sort_values(by=d).head(5000)
print("Generating KDE plot")
g = kde_plot(sorted_results,
params,
tolerance=tol,
n_ticks=4,
d=d,
median_file=os.path.join(figPath, "medians.txt"))
g.fig.savefig(os.path.join(
figPath, 'PLOS_experimental_{}_{}_kde.png'.format(
str(tol).replace('.', '_'), d)),
bbox_inches='tight')
print("Generating averaged time series plot")
config["offset"] = {}
for t in config["targets"]:
config["offset"]["{}_offset".format(t)] = d0[t][0]
fig = plot_repeated_outputs(results,
n_repeats=25,
tolerance=tol,
distance=d,
**config)
fig.set_size_inches(18.5, 12.5)
fig.savefig(os.path.join(
figPath, 'PLOS_experimental_{}_{}_TS.png'.format(
str(tol).replace('.', '_'), d)),
dpi=100)
plt.close('all')
# TODO: Fix issue with plot formatting, cutting off axes etc
# TODO: Fix issue with time series cutting short.
figPath, 'tol_{}_histogram_{}.png'.format(str(lim).replace('.', '_'), DATASET)),
bbox_inches='tight')
print("Considering {} lowest values".format(lim))
# print("Generating scatter plot")
# scatter_dist_plot(results, params, tolerance=tol, n_ticks=4)
print("Generating KDE plot")
g = kde_plot(results, params, limit=lim, n_ticks=4, d=d,
median_file=os.path.join(figPath, "medians.txt"))
g.fig.savefig(
os.path.join(figPath, 'PLOS_{}_{}_{}_kde.png'
.format(DATASET, str(lim).replace('.', '_'), d)),
bbox_inches='tight')
print("Generating averaged time series plot")
config["offset"] = {}
# for t in config["targets"]:
# config["offset"]["{}_offset".format(t)] = d0[t][0]
try:
fig, ax = plot_repeated_outputs(results, n_repeats=25, limit=lim,
distance=d, **config)
fig.set_size_inches(18.5, 12.5)
fig.savefig(
os.path.join(figPath, 'PLOS_{}_{}_{}_TS.png'
.format(DATASET, str(lim).replace('.', '_'), d)),
dpi=100)
except AttributeError:
print("Failed to get TS on {}-{}-{}".format(MODEL_VERSION, DATASET, lim))
plt.close('all')
# TODO: Fix issue with plot formatting, cutting off axes etc
# TODO: Fix issue with time series cutting short.
# # scatter_dist_plot(results, params, tolerance=tol, n_ticks=4)
sorted_results = results.sort_values(by=d).head(2000)
# print("Generating KDE plot")
# g = kde_plot(sorted_results, params, tolerance=tol, n_ticks=4, d=d,
# median_file=os.path.join(figPath, "medians.txt"), openopt_medians=openopt_medians)
# g.fig.savefig(
# os.path.join(figPath, 'PLOS_filtered_{}_{}_kde.png'
# .format(str(tol).replace('.', '_'), d)),
# bbox_inches='tight')
print("Generating averaged time series plot")
config["offset"] = {}
for t in config["targets"]:
config["offset"]["{}_offset".format(t)] = d0[t][0]
fig, ax = plot_repeated_outputs(results,
n_repeats=25,
limit=lim,
distance=d,
openopt_path=openopt_run,
**config)
for i, label in enumerate([
"{} (%)", "$\Delta${} ($\mu M$)", "$\Delta${} ($\mu M$)",
"$\Delta${} ($\mu M$)"
]):
ax[i].set_ylabel(label.format(ax[i].get_ylabel()))
fig.set_size_inches(18.5, 12.5)
# fig.savefig(
# os.path.join(figPath, 'PLOS_filtered_{}_{}_TS.png'
# .format(str(lim).replace('.', '_'), d)))
TIFF_exporter(fig,