fine, i'll do it myself:
import matplotlib.pyplot as plt
from matplotlib.ticker import (MultipleLocator, AutoMinorLocator)
import csv
import math
y_star = [0]
y_ancient = [0]
x = [0]
with open('./output/1-plant-125-casks-448-days-1-sim.csv', mode='r') as file:
reader = csv.reader(file, delimiter=',')
for day, ancient, star in reader:
x.append(int(day))
y_ancient.append(int(ancient))
y_star.append(int(star))
_, ax = plt.subplots()
ax.plot(x, y_ancient)
ax.plot(x, y_star)
ax.set(xlabel='days since initial planting', ylabel='profit (g)',
title='Ancient Fruit vs Star Fruit profits')
ax.grid()
ax.xaxis.set_major_locator(MultipleLocator(112))
ax.xaxis.set_minor_locator(MultipleLocator(28))
ax.yaxis.set_major_locator(MultipleLocator(math.floor(max(y_ancient) / 10)))
plt.show()
would any python + matplotlib knowers like to write a program for me that could parse a csv file and make a plot similar to that shown in: https://glitch.cat.family/@wallhackio/116383881105784671
this album is really good if you, like, have undiagnosed adhd https://www.youtube.com/watch?v=CdzRR0Zenpc
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videogame enjoyer. mathematics hobbyist and recovering physicist. recovering software engineer. professional wonk. prophet of The Truth. the walking embodiment of "not diagnosed, but somethings wrong". i like animals that wear cowboy hats.
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