12.3.10.1.26. Text fontdict#

Demo using fontdict to control style of text and labels.

Damped exponential decay
import numpy as np
import matplotlib.pyplot as plt


font = {
    "family": "serif",
    "color": "darkred",
    "weight": "normal",
    "size": 16,
}

x = np.linspace(0.0, 5.0, 100)
y = np.cos(2 * np.pi * x) * np.exp(-x)

plt.plot(x, y, "k")
plt.title("Damped exponential decay", fontdict=font)
plt.text(2, 0.65, r"$\cos(2 \pi t) \exp(-t)$", fontdict=font)
plt.xlabel("time (s)", fontdict=font)
plt.ylabel("voltage (mV)", fontdict=font)

# Tweak spacing to prevent clipping of ylabel
plt.subplots_adjust(left=0.15)
plt.show()

Total running time of the script: (0 minutes 0.075 seconds)