Matplotlib Labels 🏷️
Adding Context
A plot without labels is meaningless. Use xlabel(), ylabel(), and title() to add context.
✨ Basic Labels
python
import numpy as np
import matplotlib.pyplot as plt
x = np.array([80, 85, 90, 95, 100, 105, 110, 115, 120, 125])
y = np.array([240, 250, 260, 270, 280, 290, 300, 310, 320, 330])
plt.plot(x, y)
plt.title("Sports Watch Data")
plt.xlabel("Average Pulse")
plt.ylabel("Calorie Burnage")
plt.show()🎨 Font Properties
You can customize the font using the fontdict parameter.
python
font1 = {'family':'serif','color':'blue','size':20}
font2 = {'family':'serif','color':'darkred','size':15}
plt.title("Sports Watch Data", fontdict = font1)
plt.xlabel("Average Pulse", fontdict = font2)
plt.ylabel("Calorie Burnage", fontdict = font2)✨ Pro Tip: Positioning
You can position the title using the loc parameter ('left', 'right', or 'center').
python
plt.title("Sports Watch Data", loc = 'left')