#!/usr/bin/env python3

import subprocess

import matplotlib.pyplot as plt

# Run the command and get the standard output
h_t = subprocess.run(
    "curl -Ls https://gitlab.rlp.net/mobitar/julia_course/-/raw/main/Day_3/resources/fitting_task_data.csv | tail -n +6 | head -n -2 | cut -d ',' -f 1,3",
    shell=True,
    capture_output=True,
    text=True,
).stdout

h_values = []
t_values = []

for line in h_t.strip().split("\n"):
    h, t = line.strip().split(",")
    h_values.append(h)
    t_values.append(t)

plt.plot(h_values, t_values)
plt.xlabel("h")
plt.ylabel("t")
plt.savefig("h_t.pdf")