Project-5/python_scripts/normalization.py

40 lines
955 B
Python

import numpy as np
import matplotlib.pyplot as plt
import matplotlib
from matplotlib.animation import FuncAnimation
import ast
import seaborn as sns
params = {
"font.family": "Serif",
"font.serif": "Roman",
"text.usetex": True,
"axes.titlesize": "large",
"axes.labelsize": "large",
"xtick.labelsize": "large",
"ytick.labelsize": "large",
"legend.fontsize": "medium",
}
plt.rcParams.update(params)
def plot():
with open("data/probability_deviation.txt") as f:
lines = f.readlines();
x = []
arr_narrow = []
arr_wide = []
for line in lines:
tmp = line.strip().split(",")
x.append(float(tmp[0]))
arr_narrow.append(float(tmp[1]))
arr_wide.append(float(tmp[2]))
plt.plot(x,arr_narrow)
plt.plot(x,arr_wide)
plt.savefig("latex/images/probability_deviation.pdf")
if __name__ == "__main__":
plot()