matplotlib style file created to mimic Kaleidagraph line/scatter plots.
(artificial datasets constructed to resemble the originals)
from pathlib import Path
from random import random
import numpy as np
%matplotlib inline
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
plt.style.use(str(Path('C:\\') / ... / 'kaleida.mplstyle'))
xdata1 = np.arange(0, 193, 7)
ydata1 = 250 * np.exp(-0.15 * (xdata1 / 60))
ydata1_noisy = np.array([(0.99 + 0.02 * random()) * _ for _ in ydata1])
xdata2 = np.arange(0, 160, 7)
ydata2 = 250 * np.exp(-0.55 * (xdata2 / 60))
ydata2_noisy = np.array([(0.99 + 0.03 * random()) * _ for _ in ydata2])
plt.plot(xdata1, ydata1)
plt.plot(xdata1, ydata1_noisy, 'o', label="Base")
plt.plot(xdata2, ydata2)
plt.plot(xdata2, ydata2_noisy, 's', label="Tubing")
plt.xlabel('Time (min)')
plt.ylabel('O$_2$ Concentration ($\mathrm{\mu}$M)')
plt.text(120, 195, "Base", size='large')
plt.text(115, 100, "Tubing", size='large')
ax = plt.gca()
ax.set_xlim([0, 200])
ax.set_xticks(list(range(0, 210, 30)))
ax.xaxis.set_minor_locator(MultipleLocator(5))
ax.set_ylim([0, 280])
ax.set_yticks(list(range(0, 300, 50)))
ax.yaxis.set_minor_locator(MultipleLocator(10))
Copyright (c) Brian Skinn 2019
Style file is licensed under the MIT License.
Images are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License 