-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathplot_results_dist.py
150 lines (127 loc) · 5.06 KB
/
plot_results_dist.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
# ruff: noqa: F403, F405
import os
import itertools
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import argparse
import importlib
import inspect
import sys
from src.plot_utils import *
sys.path.append("./configs/plots")
sns.set_context("paper")
# sns.set_style("whitegrid", {"legend.frameon": True})
sns.set_style("darkgrid", {"legend.frameon": True})
# plt.rcParams["axes.axisbelow"] = False
# plt.rcParams["axes.grid"] = False
plt.rcParams["grid.linestyle"] = "--"
# plt.rcParams["font.family"] = "DejaVu Sans Mono"
plt.rcParams["font.family"] = "Bree Serif"
font_size = 12
plt.rcParams["font.size"] = font_size
# ------------------------------------------------------------------------------
# Note that this script tries to use the Bree Serif font. To install it, check
# where matplotlib fonts are saved by running
# from matplotlib.font_manager import findfont, FontProperties
# print(findfont(FontProperties(family=["sans-serif"])))
#
# Then, download Bree Serif and install it there.
#
# Finally, delete matplotlib cache. To find it, run
# matplotlib.get_cachedir()
# ------------------------------------------------------------------------------
def plot(folder):
fig0, axs0 = make_subplots(nrows=1, ncols=1, width_per_plot=2.6, height_per_plot=2)
fig1, axs1 = make_subplots(nrows=1, ncols=1, width_per_plot=2.6, height_per_plot=2)
fig = [fig0, fig1]
axs = [axs0[0][0], axs1[0][0]]
for env, mon in list(
itertools.product(sorted(env_to_label.keys()), sorted(mon_to_label.keys()))
):
for ax in axs:
ax.clear()
ax.set_prop_cycle(None)
nothing_to_plot = True
print("\n\n>>>", env, mon)
for cfg in benchmarks:
(
alg,
q0_min,
q0_max,
q0_visit_min,
q0_visit_max,
eps_init,
eps_min,
beta_bar,
label,
) = cfg
data_test_return = []
data_visited_r_sum = []
seeds_completed = 0
for seed in range(0, n_seeds):
try:
filename = f"{alg}_{q0_min}_{q0_max}_{q0_visit_min}_{q0_visit_max}_{eps_init}_{eps_min}_{beta_bar}_{seed}.npz"
data = np.load(os.path.join(folder, env, mon, filename))
data_test_return.append(data["test/return"])
data_visited_r_sum.append(data["train/visited_r_sum"])
seeds_completed += 1
except Exception as e:
print(e)
pass
try:
data_test_return = np.stack(data_test_return)
data_visited_r_sum = np.stack(data_visited_r_sum)
except Exception as e:
print(e)
pass
n_bins = 100
if "RiverSwim" in env:
bins = np.linspace(-0.02, 22.0, n_bins)
else:
bins = np.linspace(-0.02, 1.0, n_bins)
if len(data_test_return) > 0:
args = {
"label": label,
"ls": "-",
"color": alg_to_color[alg],
"fill": True,
"linewidth": 0.5,
}
# sns.kdeplot(data_test_return[:, -1], ax=axs[0], **args)
# sns.kdeplot(data_visited_r_sum[:, -1], ax=axs[1], **args)
sns.kdeplot(data_test_return.mean(-1), ax=axs[0], **args)
sns.kdeplot(data_visited_r_sum.mean(-1), ax=axs[1], **args)
nothing_to_plot = False
if nothing_to_plot:
continue
for i in range(len(axs)):
axs[i].tick_params(axis="x", labelsize=font_size - 2, pad=-4)
axs[i].tick_params(axis="y", labelsize=font_size - 2, pad=y_tick_pad + 17)
if "FullMonitor" not in mon:
axs[i].set_ylabel("")
if "FullMonitor" not in mon:
axs[0].set_ylabel("Expected Return AUC")
axs[1].set_ylabel("Observed Reward AUC")
plt.draw()
def save(fig, name):
plt.figure(fig)
savepath = os.path.join(folder, savedir, name)
os.makedirs(savepath, exist_ok=True)
savename = os.path.join(env, mon, "").replace("\\", "_").replace("/", "_")
savename = os.path.join(savepath, savename + ".png")
plt.savefig(savename, bbox_inches="tight", pad_inches=0, dpi=1500)
save(fig[0], "return")
save(fig[1], "visited_r_sum")
print("--------------------")
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("-c", "--config")
parser.add_argument("-f", "--folder")
args = parser.parse_args()
# https://stackoverflow.com/a/77350187/754136
# inject config variables into the global namespace
cfgmod = importlib.import_module(inspect.getmodulename(args.config))
dicts = {k: v for k, v in inspect.getmembers(cfgmod) if not k.startswith("_")}
globals().update(**dicts)
plot(args.folder)