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58 lines
2.1 KiB
Python
58 lines
2.1 KiB
Python
import numpy as np
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from component import load_results
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class Plotter:
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COLORS = ['blue', 'green', 'red', 'cyan', 'magenta', 'yellow', 'black', 'purple', 'pink',
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'brown', 'orange', 'teal', 'coral', 'lightblue', 'lime', 'lavender', 'turquoise',
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'darkgreen', 'tan', 'salmon', 'gold', 'lightpurple', 'darkred', 'darkblue']
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X_TIMESTEPS = 'timesteps'
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X_EPISODES = 'episodes'
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X_WALLTIME = 'walltime_hrs'
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def __init__(self):
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pass
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def rolling_window(self, a, window):
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shape = a.shape[:-1] + (a.shape[-1] - window + 1, window)
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strides = a.strides + (a.strides[-1],)
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return np.lib.stride_tricks.as_strided(a, shape=shape, strides=strides)
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def window_func(self, x, y, window, func):
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yw = self.rolling_window(y, window)
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yw_func = func(yw, axis=-1)
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return x[window - 1:], yw_func
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def ts2xy(self, ts, xaxis):
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if xaxis == Plotter.X_TIMESTEPS:
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x = np.cumsum(ts.l.values)
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y = ts.r.values
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elif xaxis == Plotter.X_EPISODES:
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x = np.arange(len(ts))
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y = ts.r.values
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elif xaxis == Plotter.X_WALLTIME:
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x = ts.t.values / 3600.
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y = ts.r.values
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else:
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raise NotImplementedError
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return x, y
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def load_results(self, dirs, max_timesteps=1e8, x_axis=X_TIMESTEPS, episode_window=100):
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tslist = []
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for dir in dirs:
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ts = load_results(dir)
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ts = ts[ts.l.cumsum() <= max_timesteps]
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tslist.append(ts)
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xy_list = [self.ts2xy(ts, x_axis) for ts in tslist]
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xy_list = [[x, y, self.window_func(x, y, episode_window, np.mean)] for x, y in xy_list]
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return xy_list
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def plot_results(self, dirs, max_timesteps=1e8, x_axis=X_TIMESTEPS, episode_window=100):
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import matplotlib.pyplot as plt
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xy_list = self.load_results(dirs, max_timesteps, x_axis, episode_window)
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for (i, (x, y, y_mean)) in enumerate(xy_list):
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color = Plotter.COLORS[i]
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plt.plot(x, y_mean, color=color)
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plt.xlabel(x_axis)
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plt.ylabel("Episode Rewards")
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