import seaborn as sns import matplotlib as mpl from matplotlib import pyplot as plt PALETTE = 10 * ( "#377eb8", "#4daf4a", "#984ea3", "#e41a1c", "#ff7f00", "#a65628", "#f781bf", "#888888", "#a6cee3", "#b2df8a", "#cab2d6", "#fb9a99", "#fdbf6f", ) def plot(filepath, ext='png'): plt.tight_layout() figure = plt.gcf() ax = plt.gca() legends = [c for c in ax.get_children() if isinstance(c, mpl.legend.Legend)] if legends: figure.savefig(str(filepath), format=ext, bbox_extra_artists=(*legends,), bbox_inches='tight') else: figure.savefig(str(filepath), format=ext) plt.show() plt.clf() def prepare_tex(df, hue, style, hue_order): sns.set(rc={'text.usetex': True}, style='whitegrid') lineplot = sns.lineplot(data=df, x='Episode', y='Score', ci=95, palette=PALETTE, hue_order=hue_order, hue=hue, style=style) lineplot.set_title(f'{sorted(list(df["Measurement"].unique()))}') plt.legend(bbox_to_anchor=(1.02, 1), loc='upper left', borderaxespad=0) plt.tight_layout() return lineplot def prepare_plt(df, hue, style, hue_order): print('Struggling to plot Figure using LaTeX - going back to normal.') plt.close('all') sns.set(rc={'text.usetex': False}, style='whitegrid') lineplot = sns.lineplot(data=df, x='Episode', y='Score', hue=hue, style=style, ci=95, palette=PALETTE, hue_order=hue_order, ) plt.legend(bbox_to_anchor=(1.02, 1), loc='upper left', borderaxespad=0) plt.tight_layout() # lineplot.set_title(f'{sorted(list(df["Measurement"].unique()))}') return lineplot def prepare_center_double_column_legend(df, hue, style, hue_order): print('Struggling to plot Figure using LaTeX - going back to normal.') plt.close('all') sns.set(rc={'text.usetex': False}, style='whitegrid') fig = plt.figure(figsize=(10, 11)) lineplot = sns.lineplot(data=df, x='Episode', y='Score', hue=hue, style=style, ci=95, palette=PALETTE, hue_order=hue_order, legend=False) # plt.legend(bbox_to_anchor=(1.02, 1), loc='upper left', borderaxespad=0) lineplot.legend(hue_order, ncol=3, loc='lower center', title='Parameter Combinations', bbox_to_anchor=(0.5, -0.43)) plt.tight_layout() return lineplot def prepare_plot(filepath, results_df, ext='png', hue='Measurement', style=None, use_tex=False): df = results_df.copy() df[hue] = df[hue].str.replace('_', '-') hue_order = sorted(list(df[hue].unique())) if use_tex: try: _ = prepare_tex(df, hue, style, hue_order) plot(filepath, ext=ext) # plot raises errors not lineplot! except (FileNotFoundError, RuntimeError): _ = prepare_plt(df, hue, style, hue_order) plot(filepath, ext=ext) else: _ = prepare_plt(df, hue, style, hue_order) plot(filepath, ext=ext)