54 lines
1.9 KiB
Python
54 lines
1.9 KiB
Python
import numpy as np
|
|
import matplotlib.pyplot as plt
|
|
import os
|
|
|
|
|
|
def plot_csv(paths, x_axis, y_axis):
|
|
for path_ in paths:
|
|
data = np.genfromtxt(path_, delimiter=',', skip_header=0, dtype=float)
|
|
|
|
mean = np.mean(data, axis=1)
|
|
std = np.std(data, axis=1)
|
|
|
|
x = np.linspace(0, mean.shape[0], mean.shape[0])
|
|
|
|
# Extract the first part of the filename and use it as a label
|
|
label = os.path.basename(path_).split('-')[0:5]
|
|
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.fill_between(
|
|
x,
|
|
mean - 1.96 * std,
|
|
mean + 1.96 * std,
|
|
alpha=0.5
|
|
)
|
|
plt.xlabel(x_axis)
|
|
plt.xlim([0, mean.shape[0]])
|
|
plt.ylabel(y_axis)
|
|
plt.grid(True)
|
|
plt.legend(loc="upper left")
|
|
plt.show()
|
|
|
|
|
|
if __name__ == '__main__':
|
|
filenames = ['cp-e150r10-bf15-base/cp-ei-random-1_0-15-1690282051_2959082.csv',
|
|
'cp-e150r10-bf15-noshaping/cp-pei-random-0_95-15-1690276946_1944933.csv',
|
|
'cp-e150r10-bf15-noshaping/cp-pei-regular-25_0-15-1690290021_6843266.csv',
|
|
'cp-e150r10-bf15-noshaping/cp-pei-improvement-0_1-15-1690292664_0382216.csv',
|
|
]
|
|
home_dir = os.path.expanduser('~')
|
|
file_path = os.path.join(home_dir, 'Documents/IntRLResults/CP-Results')
|
|
paths = [os.path.join(file_path, filename) for filename in filenames]
|
|
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')
|