steffen/marl-factory-grid
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better plotting

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steffen-illium 2021-05-28 18:05:53 +02:00
parent 604ffc3b60
commit efedce579e
2 changed files with 10 additions and 15 deletions
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1
environments/logging/plotting.py
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@ -54,3 +54,4 @@ def prepare_plot(filepath, results_df, ext='png', tag=''):
except (FileNotFoundError, RuntimeError): except (FileNotFoundError, RuntimeError):
tex_fonts['text.usetex'] = False tex_fonts['text.usetex'] = False
plot(filepath, ext=ext, tag=tag, **tex_fonts) plot(filepath, ext=ext, tag=tag, **tex_fonts)
plt.show()

24
main.py
View File

@ -5,7 +5,6 @@ from os import PathLike
from pathlib import Path from pathlib import Path
import time import time
import pandas as pd import pandas as pd
from natsort import natsorted
from stable_baselines3.common.callbacks import CallbackList from stable_baselines3.common.callbacks import CallbackList
@ -44,20 +43,16 @@ def combine_runs(run_path: Union[str, PathLike]):
df_list.append(df) df_list.append(df)
df = pd.concat(df_list, ignore_index=True) df = pd.concat(df_list, ignore_index=True)
df = df.fillna(0).rename(columns={'episode': 'Episode', 'run': 'Run'}) df = df.fillna(0).rename(columns={'episode': 'Episode', 'run': 'Run'})
columns = [col for col in df.columns if col not in ['Episode', 'Run', 'train_step', 'step']]
df_group = df.groupby(['Episode', 'Run']).aggregate({col: 'sum' if col in ['dirt_amount', df_group = df.groupby(['Episode', 'Run']).aggregate(
'dirty_tiles'] else 'sum' {col: 'mean' if col in ['dirt_amount', 'dirty_tiles'] else 'sum' for col in columns}
for col in df.columns if )
col not in ['Episode', 'Run', 'train_step']
})
non_overlapp_window = df_group.groupby(['Run', (df_group.index.get_level_values('Episode') // 50)]).mean() non_overlapp_window = df_group.groupby(['Run', (df_group.index.get_level_values('Episode') // 20)]).mean()
df_melted = non_overlapp_window.reset_index().melt(id_vars=['Episode', 'Run'], df_melted = non_overlapp_window.reset_index().melt(id_vars=['Episode', 'Run'],
value_vars=['agent_0_vs_level', 'dirt_amount', value_vars=columns, var_name="Measurement",
'dirty_tiles', 'step_reward',
'failed_cleanup_attempt',
'dirt_cleaned'], var_name="Measurement",
value_name="Score") value_name="Score")
prepare_plot(run_path / f'{run_path.name}_monitor_lineplot.png', df_melted) prepare_plot(run_path / f'{run_path.name}_monitor_lineplot.png', df_melted)
@ -66,11 +61,10 @@ def combine_runs(run_path: Union[str, PathLike]):
if __name__ == '__main__': if __name__ == '__main__':
# combine_runs('debug_out/PPO_1622128912') combine_runs('debug_out/PPO_1622120377')
# exit() exit()
from stable_baselines3 import DQN, PPO
from stable_baselines3 import PPO # DQN
dirt_props = DirtProperties() dirt_props = DirtProperties()
time_stamp = int(time.time()) time_stamp = int(time.time())