58 lines
1.3 KiB
Python
58 lines
1.3 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', **kwargs):
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plt.rcParams.update(kwargs)
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plt.tight_layout()
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figure = plt.gcf()
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plt.show()
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figure.savefig(str(filepath), format=ext)
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def prepare_plot(filepath, results_df, ext='png', tag=''):
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_ = sns.lineplot(data=results_df, x='Episode', y='Score', hue='Measurement', ci='sd')
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# %%
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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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try:
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plot(filepath, ext=ext, tag=tag, **tex_fonts)
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except (FileNotFoundError, RuntimeError):
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tex_fonts['text.usetex'] = False
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plot(filepath, ext=ext, tag=tag, **tex_fonts)
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plt.show()
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