55 lines
1.1 KiB
Python
55 lines
1.1 KiB
Python
from pathlib import Path
|
|
|
|
import matplotlib.pyplot as plt
|
|
import numpy as np
|
|
from scipy.stats import linregress
|
|
|
|
|
|
def plot_timing(indir, outdir):
|
|
files = [
|
|
"lattice_sizes.txt",
|
|
"sample_sizes.txt",
|
|
]
|
|
labels = [
|
|
"Lattice sizes",
|
|
"Sample sizes",
|
|
]
|
|
xlabels = [
|
|
"Lattice size",
|
|
"Sampling size"
|
|
]
|
|
outfiles = [
|
|
"lattice_size.pdf",
|
|
"sample_sizes.pdf"
|
|
]
|
|
|
|
for file, label, xlabel, outfile in zip(files, labels, xlabels, outfiles):
|
|
figure1, ax1 = plt.subplots()
|
|
x = []
|
|
t = []
|
|
|
|
with open(Path(indir, file)) as f:
|
|
lines = f.readlines()
|
|
for line in lines:
|
|
l = line.strip().split(",")
|
|
x.append(float(l[0]))
|
|
t.append(float(l[1]))
|
|
|
|
|
|
ax1.plot(x, t, label=label)
|
|
ax1.set_xlabel(xlabel)
|
|
ax1.set_ylabel("time (seconds)")
|
|
|
|
figure1.legend()
|
|
|
|
figure1.savefig(Path(outdir, outfile))
|
|
|
|
plt.close(figure1)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
plot_timing(
|
|
"output/timing/",
|
|
"../latex/images/timing",
|
|
)
|