def plot(self) -> None:
"""Plot averaged Bar chart"""
plotter.FrequencyBars(
x=[k for k in self.features.keys()],
y=[v / self.instance_counter for v in self.features.values()],
plot_name=self.set_name,
path=self.cache_path,
title=self.set_name,
x_name=self.set_name,
)
def plot(self):
sorted_dict = sorted(self.sample_counter.items(), key=lambda x: x[0])
plotter.FrequencyBars(
x=[x for (x, _) in sorted_dict],
y=[y for (_, y) in sorted_dict],
plot_name=self.set_name,
path=self.log_path,
title=self.set_name,
x_name=self.set_name,
)
return
def plot(self) -> None:
"""
Plot distribution.
"""
plotter.FrequencyBars(
x=[idx + self.min_idx for idx, _ in enumerate(self.distribution)],
y=[v for v in self.distribution],
plot_name="pmf_{}".format(self.set_name),
path=self.log_path,
title="pmf_{}".format(self.set_name),
x_name=self.set_name,
)
plotter.FrequencyBars(
x=[idx + self.min_idx for idx, _ in enumerate(self.pdf)],
y=[v for v in self.pdf],
plot_name="pdf_{}".format(self.set_name),
path=self.log_path,
title="pdf_{}".format(self.set_name),
x_name=self.set_name,
)
return
def plot(self) -> None:
"""Plot bars of number of occurences."""
sorted_dict = sorted(self.sample_counter.items(), key=lambda x: x[0])
plotter.FrequencyBars(
x=[x for (x, _) in sorted_dict],
y=[y for (_, y) in sorted_dict],
plot_name=self.set_name,
path=self.cache_path,
title=self.set_name,
x_name=self.set_name,
)
return
def rel_length_distribution(data) -> None:
# 2) Relative hole length distribution.
rhl_dist = {}
for dp in data:
rhl = dp.rel_hole_lengths
try:
rounded = int(100 * float(rhl))
if rounded not in rhl_dist:
rhl_dist[rounded] = 1
else:
rhl_dist[rounded] += 1
except Exception:
continue
plt.FrequencyBars(
x=list(rhl_dist.keys()),
y=list(rhl_dist.values()),
plot_name="perc_hole_length_distribution",
path=pathlib.Path(FLAGS.eval_cand_db).absolute().parent,
title="% hole length distribution",
x_name="percentile",
)
return