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hub / github.com/Zhangyanbo/diffusion-evolution / reward_compare_plot

Function reward_compare_plot

experiments/RL/visualization.py:95–121  ·  view source on GitHub ↗
(*rewards, labels=None, colors=None, ax=None)

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93
94
95def reward_compare_plot(*rewards, labels=None, colors=None, ax=None):
96 if ax is None:
97 ax = plt.gca()
98 for i, w in enumerate(rewards):
99 range_plot(w, color=colors[i] if colors else f'C{i}', label=labels[i] if labels else None)
100
101 ax.axhline(500, color='gray', linestyle='--',
102 label='max reward', alpha=0.5)
103 ax.legend(fontsize='small')
104 ax.set_ylim(5, 570)
105 # ax.set_xlim(None, len(rewards[0]))
106 ax.set_xlabel('generation')
107 ax.set_ylabel('reward')
108
109 # set x-axis ticks with 2, 4, 6, 8, 10
110 ax.set_xticks([2, 4, 6, 8, 10])
111 ax.set_xticklabels([f'{tick}' for tick in [2, 4, 6, 8, 10]])
112
113 # set y-axis as reversed log scale
114 ax.set_yscale('log')
115
116 major_ticks = [10, 100, 300, 500]
117 plt.yticks(major_ticks, [f'{tick}' for tick in major_ticks])
118
119 # Set the minor ticks locator and formatter
120 ax.yaxis.set_minor_locator(LogLocator(base=10.0, subs='auto', numticks=10))
121 ax.yaxis.set_minor_formatter(LogFormatter(base=10.0, labelOnlyBase=False))
122
123
124def latent_plot(z, ax, color=None, alpha=1, label=None, zorder=1):

Callers 1

visualization.pyFile · 0.85

Calls 1

range_plotFunction · 0.85

Tested by

no test coverage detected