pyplot

import matplotlib
import matplotlib.pyplot as plt
plt.style.use('seaborn-whitegrid')
import numpy as np


axes = plt.axes()
axes.set_ylim([0, 1.1])

fname= "h1/f1"
pname= "h1/p"
rname= "h1/r"

with open(fname, 'r') as file_name:
    fn_value = np.genfromtxt(file_name, dtype=np.float)

with open(pname, 'r') as file_name:
    p_value = np.genfromtxt(file_name, dtype=np.float)
with open(rname, 'r') as file_name:
    r_value = np.genfromtxt(file_name, dtype=np.float)

y, x = np.split(fn_value,[-1],axis=1)
yP, xP = np.split(p_value,[-1],axis=1)
yR, xR = np.split(r_value,[-1],axis=1)

plt.plot(y, x, '-o', color = 'r', label='F1 Score', markersize=8);
plt.plot(yP, xP, '-^', color = 'g', label='Precision', markersize=8);
plt.plot(yR, xR, '-v', color = 'b', label='Recall', markersize=8);

plt.xlabel(r'Threshold $\tau$')

plt.legend(loc='lower right')

plt.savefig('Accuracy_Spec_go_H1.pdf')