takane revised this on 27 Oct 2022

graph.py

import numpy as np import matplotlib.pyplot as plt import sys args = sys.argv # data01_axis1, data01_value1 = np.loadtxt(args[1], delimiter="|", usecols=range(1,3), unpack=True) data01_axis1, data01_value1 = np.loadtxt(args[1], delimiter="|", usecols=[1,3], unpack=True) data01_axis1, data02_value1 = np.loadtxt(args[1], delimiter="|", usecols=[1,4], unpack=True) fig = plt.figure(figsize=(10, 6)) ax = fig.add_subplot(111) ax.plot(data01_axis1, data01_value1, "-", color="k", label="Training") ax.plot(data01_axis1, data02_value1, "-", color="r", label="Validation") # ax.set_xlim(1000, 3000) ax.set_xlabel("Iterations") ax.set_ylabel("Accuracy") ax.legend(loc="upper left") plt.show()