forked from moreo/QuaPy
88 lines
2.4 KiB
Python
88 lines
2.4 KiB
Python
import matplotlib.pyplot as plt
|
|
import numpy as np
|
|
import pandas as pd
|
|
import sys, os, pathlib
|
|
|
|
assert len(sys.argv) == 3, f'wrong args, syntax is: python {sys.argv[0]} <result_input_path> <dynamic (0|1)>'
|
|
|
|
file = str(sys.argv[1])
|
|
loop = bool(int(sys.argv[2]))
|
|
|
|
print(file)
|
|
|
|
plotname = pathlib.Path(file).name.replace(".csv", ".png")
|
|
|
|
if not loop:
|
|
plt.rcParams['figure.figsize'] = [12, 12]
|
|
plt.rcParams['figure.dpi'] = 200
|
|
|
|
# plot the data
|
|
fig, axs = plt.subplots(5)
|
|
|
|
|
|
try:
|
|
while True:
|
|
aXn = 0
|
|
df = pd.read_csv(file, sep='\t')
|
|
|
|
xs = df['it']
|
|
|
|
y_r = df['R']
|
|
y_rhat = df['Rhat']
|
|
y_rhatCC = df['RhatCC']
|
|
axs[aXn].plot(xs, y_rhat, label='$\hat{R}_{Q}$')
|
|
axs[aXn].plot(xs, y_rhatCC, label='$\hat{R}_{CC}$')
|
|
axs[aXn].plot(xs, y_r, label='$R$')
|
|
axs[aXn].legend()
|
|
axs[aXn].grid()
|
|
axs[aXn].set_ylabel('Recall')
|
|
axs[aXn].set_ylim(0,1)
|
|
aXn+=1
|
|
|
|
y_r = df['te-prev']
|
|
y_rhat = df['te-estim']
|
|
y_rhatCC = df['te-estimCC']
|
|
axs[aXn].plot(xs, y_rhat, label='te-$\hat{Pr}(\oplus)_{Q}$')
|
|
axs[aXn].plot(xs, y_rhatCC, label='te-$\hat{Pr}(\oplus)_{CC}$')
|
|
axs[aXn].plot(xs, y_r, label='te-$Pr(\oplus)$')
|
|
axs[aXn].legend()
|
|
axs[aXn].grid()
|
|
axs[aXn].set_ylabel('Prevalence')
|
|
aXn += 1
|
|
|
|
y_ae = df['AE']
|
|
y_ae_cc = df['AE_CC']
|
|
axs[aXn].plot(xs, y_ae, label='AE$_{Q}$')
|
|
axs[aXn].plot(xs, y_ae_cc, label='AE$_{CC}$')
|
|
axs[aXn].legend()
|
|
axs[aXn].grid()
|
|
axs[aXn].set_ylabel('Quantification error')
|
|
aXn += 1
|
|
|
|
axs[aXn].plot(xs, df['MF1_Q'], label='$F_1(clf(Q))$')
|
|
axs[aXn].plot(xs, df['MF1_Clf'], label='$F_1(clf(CC))$')
|
|
axs[aXn].legend()
|
|
axs[aXn].grid()
|
|
axs[aXn].set_ylabel('Classifiers performance')
|
|
aXn += 1
|
|
|
|
axs[aXn].plot(xs, df['Shift'], '--k', label='tr-te shift (AE)')
|
|
axs[aXn].plot(xs, df['tr-prev'], 'y', label='tr-$Pr(\oplus)$')
|
|
axs[aXn].plot(xs, df['te-prev'], 'r', label='te-$Pr(\oplus)$')
|
|
axs[aXn].legend()
|
|
axs[aXn].grid()
|
|
axs[aXn].set_ylabel('Train-Test Shift')
|
|
aXn += 1
|
|
|
|
os.makedirs('./plots', exist_ok=True)
|
|
plt.savefig(f'./plots/{plotname}')
|
|
|
|
if not loop:
|
|
break
|
|
else:
|
|
plt.pause(.5)
|
|
for i in range(aXn):
|
|
axs[i].cla()
|
|
|
|
except KeyboardInterrupt:
|
|
print("\n[exit]") |