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Go to the end to download the full example code.
This shows an example of "Solarized_Light" styling, which tries to replicate the styles of:
and work of:
using all 8 accents of the color palette - starting with blue
Still TODO:
Create alpha values for bar and stacked charts. .33 or .5
Apply Layout Rules
[8 Random Lines - Line]import matplotlib.pyplot as plt
import numpy as np
# Fixing random state for reproducibility
np.random.seed(19680801)
x = np.linspace(0, 10)
with plt.style.context('Solarize_Light2'):
plt.plot(x, np.sin(x) + x + np.random.randn(50))
plt.plot(x, np.sin(x) + 2 * x + np.random.randn(50))
plt.plot(x, np.sin(x) + 3 * x + np.random.randn(50))
plt.plot(x, np.sin(x) + 4 * x + np.random.randn(50))
plt.plot(x, np.sin(x) + 5 * x + np.random.randn(50))
plt.plot(x, np.sin(x) + 6 * x + np.random.randn(50))
plt.plot(x, np.sin(x) + 7 * x + np.random.randn(50))
plt.plot(x, np.sin(x) + 8 * x + np.random.randn(50))
# Number of accent colors in the color scheme
plt.title('8 Random Lines - Line')
plt.xlabel('x label', fontsize=14)
plt.ylabel('y label', fontsize=14)
plt.show()
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