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https://github.com/illiumst/marl-factory-grid.git
synced 2025-05-23 07:16:44 +02:00
fixed prepare_plot and added LaTeX support
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parent
38a3ef7687
commit
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@ -18,9 +18,7 @@ PALETTE = 10 * (
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)
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def plot(filepath, ext='png', **kwargs):
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def plot(filepath, ext='png'):
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plt.rcParams.update(kwargs)
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plt.tight_layout()
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plt.tight_layout()
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figure = plt.gcf()
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figure = plt.gcf()
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figure.savefig(str(filepath), format=ext)
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figure.savefig(str(filepath), format=ext)
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@ -29,26 +27,14 @@ def plot(filepath, ext='png', **kwargs):
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def prepare_plot(filepath, results_df, ext='png'):
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def prepare_plot(filepath, results_df, ext='png'):
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results_df.Measurement = results_df.Measurement.str.replace('_', '-')
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sns.set_theme(palette=PALETTE, style='whitegrid')
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font_size = 16
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tex_fonts = {
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# Use LaTeX to write all text
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"text.usetex": False,
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"font.family": "serif",
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# Use 10pt font in plots, to match 10pt font in document
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"axes.labelsize": font_size,
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"font.size": font_size,
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# Make the legend/label fonts a little smaller
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"legend.fontsize": font_size - 2,
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"xtick.labelsize": font_size - 2,
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"ytick.labelsize": font_size - 2
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}
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sns.lineplot(data=results_df, x='Episode', y='Score', hue='Measurement', ci='sd')
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try:
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try:
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plot(filepath, ext=ext, **tex_fonts)
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sns.set(rc={'text.usetex': True}, style='whitegrid')
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sns.lineplot(data=results_df, x='Episode', y='Score', hue='Measurement', ci='sd', palette=PALETTE)
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plot(filepath, ext=ext) # plot raises errors not lineplot!
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except (FileNotFoundError, RuntimeError):
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except (FileNotFoundError, RuntimeError):
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tex_fonts['text.usetex'] = False
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print('Struggling to plot Figure using LaTeX - going back to normal.')
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plot(filepath, ext=ext, **tex_fonts)
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plt.close('all')
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sns.set(rc={'text.usetex': False}, style='whitegrid')
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sns.lineplot(data=results_df, x='Episode', y='Score', hue='Measurement', ci='sd', palette=PALETTE)
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plot(filepath, ext=ext)
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4
main.py
4
main.py
@ -32,6 +32,8 @@ def combine_runs(run_path: Union[str, PathLike]):
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df = df.fillna(0).rename(columns={'episode': 'Episode', 'run': 'Run'})
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df = df.fillna(0).rename(columns={'episode': 'Episode', 'run': 'Run'})
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columns = [col for col in df.columns if col not in IGNORED_DF_COLUMNS]
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columns = [col for col in df.columns if col not in IGNORED_DF_COLUMNS]
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print(df.head())
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non_overlapp_window = df.groupby(['Run', df['Episode'] // 20]).mean()
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non_overlapp_window = df.groupby(['Run', df['Episode'] // 20]).mean()
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df_melted = non_overlapp_window[columns].reset_index().melt(id_vars=['Episode', 'Run'],
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df_melted = non_overlapp_window[columns].reset_index().melt(id_vars=['Episode', 'Run'],
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@ -49,6 +51,8 @@ if __name__ == '__main__':
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time_stamp = int(time.time())
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time_stamp = int(time.time())
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out_path = None
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out_path = None
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combine_runs(Path('/Users/romue/PycharmProjects/EDYS/debug_out/A2C_1622571986'))
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exit()
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for modeL_type in [A2C, PPO, DQN]:
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for modeL_type in [A2C, PPO, DQN]:
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for seed in range(5):
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for seed in range(5):
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