Overview
Matplotlib 3.6, released on November 17, 2022, improves default styles and adds new customization options.
Main Features
Improved styles
Default styles are modernized with better color palettes and more readable fonts.
python
import matplotlib.pyplot as plt
import numpy as np
plt.style.use('seaborn-v0_8')
x = np.linspace(0, 10, 100)
plt.plot(x, np.sin(x), label='sin')
plt.plot(x, np.cos(x), label='cos')
plt.legend()
plt.title('Trigonometric functions')
# plt.show()Improved figure and axes
Subplot management is simplified with subplot_mosaic and better layout options.
python
import matplotlib.pyplot as plt
import numpy as np
fig, axs = plt.subplot_mosaic(
[['A', 'B'], ['C', 'C']],
figsize=(8, 6),
)
axs['A'].plot([1, 2, 3])
axs['B'].bar([1, 2, 3], [4, 5, 6])
axs['C'].scatter(np.random.randn(50), np.random.randn(50))
# plt.show()