forked from moreo/QuaPy
61 lines
1.6 KiB
Python
61 lines
1.6 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 = sys.argv[1] #'./results/RCV1.C4.csv'
|
|
loop = bool(int(sys.argv[2]))
|
|
|
|
plotname = pathlib.Path(file).name.replace(".csv", ".png")
|
|
|
|
# plot the data
|
|
fig, axs = plt.subplots(3)
|
|
|
|
try:
|
|
while True:
|
|
df = pd.read_csv(file, sep='\t')
|
|
|
|
xs = df['it']
|
|
|
|
y_r = df['R']
|
|
y_rhat = df['Rhat']
|
|
y_rhatCC = df['RhatCC']
|
|
label='R'
|
|
axs[0].plot(xs, y_rhat, label='$\hat{'+label+'}$')
|
|
axs[0].plot(xs, y_rhatCC, label='$\hat{'+label+'}_{CC}$')
|
|
axs[0].plot(xs, y_r, label=label)
|
|
axs[0].legend()
|
|
axs[0].grid()
|
|
|
|
y_r = df['te-prev']
|
|
y_rhat = df['te-estim']
|
|
y_rhatCC = df['te-estimCC']
|
|
label='P'
|
|
axs[1].plot(xs, y_rhat, label='$\hat{'+label+'}$')
|
|
axs[1].plot(xs, y_rhatCC, label='$\hat{'+label+'}_{CC}$')
|
|
axs[1].plot(xs, y_r, label=label)
|
|
axs[1].legend()
|
|
axs[1].grid()
|
|
|
|
y_ae = df['AE']
|
|
y_ae_cc = df['AE_CC']
|
|
axs[2].plot(xs, y_ae, label='AE')
|
|
axs[2].plot(xs, y_ae_cc, label='AE-CC')
|
|
axs[2].legend()
|
|
axs[2].grid()
|
|
|
|
os.makedirs('./plots', exist_ok=True)
|
|
plt.savefig(f'./plots/{plotname}')
|
|
|
|
if not loop:
|
|
break
|
|
else:
|
|
plt.pause(.5)
|
|
axs[0].cla()
|
|
axs[1].cla()
|
|
axs[2].cla()
|
|
|
|
except KeyboardInterrupt:
|
|
print("\n[exit]") |