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visualize_budget_ablation.py
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visualize_budget_ablation.py
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import json
import glob
import os
import argparse
import pandas as pd
import seaborn as sns
import matplotlib
import matplotlib.pyplot as plt
def pretty(text):
"""Convert a string into a consistent format for
presentation in a matplotlib pyplot:
this version looks like: One Two Three Four
"""
text = text.replace("_", " ")
text = text.replace("-", " ")
text = text.replace("/", " ")
text = text.strip()
prev_c = None
out_str = []
for c in text:
if prev_c is not None and \
prev_c.islower() and c.isupper():
out_str.append(" ")
prev_c = " "
if prev_c is None or prev_c == " ":
c = c.upper()
out_str.append(c)
prev_c = c
return "".join(out_str)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--logdir", type=str, default="/home/btrabucco/exploration-budget")
parser.add_argument("--keys", nargs='+', type=str, default=[
"unshuffle/num_newly_misplaced",
"unshuffle/prop_fixed_strict",
"unshuffle/success"])
args = parser.parse_args()
all_json = glob.glob(os.path.join(args.logdir, "*/results/*.json"))
with open(all_json[0], "r") as f:
all_keys = [key for key, value in json.load(f).items()
if isinstance(value, int) or isinstance(value, float)]
results = pd.DataFrame(columns=["Method", *all_keys])
for json_name in all_json:
with open(os.path.join(os.path.dirname(
os.path.dirname(json_name)), "params-0-50.json"), "r") as f:
params = json.load(f)
with open(json_name, "r") as f:
entries = {key: value for key, value
in json.load(f).items() if key in all_keys}
entries.update(params)
entries["Method"] = ("Semantic Search " if params["ground_truth_semantic_search"]
else "Random Search ") + ("Validation" if params["stage"] == "val" else "Test")
results = results.append(entries,
ignore_index=True)
methods = ["Semantic Search Validation",
"Semantic Search Test"]
results = pd.concat([results[results['Method'] == method_name]
for method_name in methods])
matplotlib.rc('font', family='Times New Roman', serif='cm10')
matplotlib.rc('mathtext', fontset='cm')
plt.rcParams['text.usetex'] = False
fig, axs = plt.subplots(1, len(args.keys),
figsize=(10 * len(args.keys), 8))
for i, key in enumerate(args.keys):
axis = sns.lineplot(x="exploration_budget_one", y=key, hue="Method",
data=results, ci=68, linewidth=4,
ax=axs[i] if len(args.keys) > 1 else axs)
axis.set(xlabel=None)
axis.set(ylabel=None)
if axis.get_legend() is not None:
axis.get_legend().remove()
axis.spines['right'].set_visible(False)
axis.spines['top'].set_visible(False)
axis.xaxis.set_ticks_position('bottom')
axis.yaxis.set_ticks_position('left')
axis.yaxis.set_tick_params(labelsize=24)
axis.xaxis.set_tick_params(labelsize=24)
axis.set_xlabel("Num Navigation Goals", fontsize=36,
fontweight='bold', labelpad=12)
axis.set_ylabel(pretty(key.replace("unshuffle/", "").replace("prop_fixed", "%Fixed")), fontsize=36,
fontweight='bold', labelpad=12)
axis.grid(color='grey', linestyle='dotted', linewidth=2)
legend = fig.legend([pretty(x) for x in methods],
loc="lower center", ncol=len(methods),
prop={'size': 36, 'weight': 'bold'})
for i, legend_object in enumerate(legend.legendHandles):
legend_object.set_linewidth(4.0)
legend_object.set_color(sns.color_palette()[i])
plt.tight_layout(pad=5.0)
fig.subplots_adjust(bottom=0.35)
plt.savefig(os.path.join(args.logdir,
"budget_ablation.pdf"))
plt.savefig(os.path.join(args.logdir,
"budget_ablation.png"))