63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
import seaborn as sns
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from matplotlib import pyplot as plt
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PALETTE = 10 * (
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"#377eb8",
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"#4daf4a",
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"#984ea3",
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"#e41a1c",
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"#ff7f00",
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"#a65628",
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"#f781bf",
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"#888888",
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"#a6cee3",
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"#b2df8a",
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"#cab2d6",
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"#fb9a99",
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"#fdbf6f",
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)
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def plot(filepath, ext='png'):
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plt.tight_layout()
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figure = plt.gcf()
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figure.savefig(str(filepath), format=ext)
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plt.show()
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plt.clf()
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def prepare_tex(df, hue, style, hue_order):
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sns.set(rc={'text.usetex': True}, style='whitegrid')
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lineplot = sns.lineplot(data=df, x='Episode', y='Score', ci=95, palette=PALETTE,
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hue_order=hue_order, hue=hue, style=style)
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# lineplot.set_title(f'{sorted(list(df["Measurement"].unique()))}')
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return lineplot
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def prepare_plt(df, hue, style, hue_order):
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print('Struggling to plot Figure using LaTeX - going back to normal.')
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plt.close('all')
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sns.set(rc={'text.usetex': False}, style='whitegrid')
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lineplot = sns.lineplot(data=df, x='Episode', y='Score', hue=hue, style=style,
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ci=95, palette=PALETTE, hue_order=hue_order, )
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plt.legend(bbox_to_anchor=(1.02, 1), loc='upper left', borderaxespad=0)
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plt.tight_layout()
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# lineplot.set_title(f'{sorted(list(df["Measurement"].unique()))}')
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return lineplot
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def prepare_plot(filepath, results_df, ext='png', hue='Measurement', style=None, use_tex=False):
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df = results_df.copy()
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df[hue] = df[hue].str.replace('_', '-')
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hue_order = sorted(list(df[hue].unique()))
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if use_tex:
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try:
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_ = prepare_tex(df, hue, style, hue_order)
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plot(filepath, ext=ext) # plot raises errors not lineplot!
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except (FileNotFoundError, RuntimeError):
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_ = prepare_plt(df, hue, style, hue_order)
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plot(filepath, ext=ext)
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else:
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_ = prepare_plt(df, hue, style, hue_order)
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plot(filepath, ext=ext)
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