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This commit is contained in:
Niko Feith 2023-06-05 14:56:00 +02:00
parent d8c4eecb18
commit 54a2eb9bba
1 changed files with 18 additions and 7 deletions
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25
plotter/reward_plotter.py
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@ -2,6 +2,7 @@ import numpy as np
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
import os import os
def plot_csv(paths, x_axis, y_axis): def plot_csv(paths, x_axis, y_axis):
for path_ in paths: for path_ in paths:
data = np.genfromtxt(path_, delimiter=',', skip_header=1, dtype=float) data = np.genfromtxt(path_, delimiter=',', skip_header=1, dtype=float)
@ -13,7 +14,10 @@ def plot_csv(paths, x_axis, y_axis):
# Extract the first part of the filename and use it as a label # Extract the first part of the filename and use it as a label
label = os.path.basename(path_).split('-')[0:5] label = os.path.basename(path_).split('-')[0:5]
label = f"{label[1]}, {label[2]}, {float(label[3].replace('_','.'))}, nrbfs = {int(label[4])}" label = f"{label[1]}," \
f" {label[2]}," \
f" {label[3].replace('_', '.') if label[3] != '' else 'base'}," \
f" nrbfs = {int(label[4])}"
plt.plot(x, mean, label=label) plt.plot(x, mean, label=label)
plt.fill_between( plt.fill_between(
@ -26,16 +30,23 @@ def plot_csv(paths, x_axis, y_axis):
plt.xlim([0, mean.shape[0]]) plt.xlim([0, mean.shape[0]])
plt.ylabel(y_axis) plt.ylabel(y_axis)
plt.grid(True) plt.grid(True)
plt.legend(loc="best") plt.legend(loc="lower right")
plt.show() plt.show()
if __name__ == '__main__': if __name__ == '__main__':
filenames = ['BO/mc-ei-bo--5-1685952362_3531659.csv',
filenames = ['mc-ei-random-1_0-5-1685622201_6965265.csv', 'random-0_95/mc-ei-random-0_95-5-1685956146_775975.csv',
'mc-pi-random-1_0-5-1685622464_9843714.csv', 'regular-10_0/mc-ei-regular-10-5-1685968651_7080765.csv',
'mc-cb-random-1_0-5-1685622728_8990934.csv'] ]
home_dir = os.path.expanduser('~') home_dir = os.path.expanduser('~')
file_path = os.path.join(home_dir, 'Documents/IntRLResults') file_path = os.path.join(home_dir, 'Documents/IntRLResults/mc-e50r10')
paths = [os.path.join(file_path, filename) for filename in filenames] paths = [os.path.join(file_path, filename) for filename in filenames]
plot_csv(paths, 'Episodes', 'Reward') plot_csv(paths, 'Episodes', 'Reward')
#
# filenames2 = ['mc-ei-random-1_0-10-1685708208_6402516.csv',
# 'mc-pi-random-1_0-10-1685709168_7113624.csv',
# 'mc-cb-random-1_0-10-1685714487_4603446.csv']
#
# paths2 = [os.path.join(file_path, filename) for filename in filenames2]
# plot_csv(paths2, 'Episodes', 'Reward')