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plot.py
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plot.py
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from pandas import DataFrame, read_csv
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from pathlib import Path
# define data location\n",
df0 = read_csv('stage1/outputs.csv')
df1 = read_csv('transition/stage2/outputs.csv')
df0.fillna(0, inplace=True)
df1.fillna(0, inplace=True)
fig, ax = plt.subplots(1, sharex=False, sharey=False)
name1='{x2}.tank.level'
name2='{x3}.leak_detector.leak'
name3='{x4}.leak_controller.valve'
name4='{x2}.tank.valvecontrol'
ax.title.set_text('tank level')
ax.plot(df0['time'], df0[name1])
ax.plot(df0['time'], df0[name4])
ax.plot(df1['time'], df1[name1])
ax.plot(df1['time'], df1[name2])
#ax.plot(df1['time'], df1[name3])\n",
ax.plot(df1['time'], df1[name4])
plt.yticks(np.arange(0.0, 2.5, 0.2))
ax.set_xlim([0, 40])
ax.grid()
fig.tight_layout()
plt.rcParams['figure.figsize'] = [12, 10]
#plt.rcParams['figure.dpi'] = 200 #e.g. is really fine, but slower\n",
#plt.show()
Path('post').mkdir(parents=True, exist_ok=True)
plt.savefig('post/result.png')
plt.savefig('post/result.pdf')