Create Labels for a Plot
With Pyplot, you can use the xlabel() and ylabel() functions to set a label for the x- and y-axis.
Example
Add labels to the x- and y-axis:
| 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.xlabel(“Average Pulse”) plt.ylabel(“Calorie Burnage”) plt.show() |
Result:
Create a Title for a Plot
With Pyplot, you can use the title() function to set a title for the plot.
Example
Add a plot title and labels for the x- and y-axis:
| 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() |
Result:
Set Font Properties for Title and Labels
You can use the fontdict parameter in xlabel(), ylabel(), and title() to set font properties for the title and labels.
Example
Set font properties for the title and labels:
| 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]) 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) plt.plot(x, y) plt.show() |
Result:
Position the Title
You can use the loc parameter in title() to position the title.
Legal values are: ‘left’, ‘right’, and ‘center’. Default value is ‘center’.
Example
Position the title to the left:
| 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.title(“Sports Watch Data”, loc = ‘left’) plt.xlabel(“Average Pulse”) plt.ylabel(“Calorie Burnage”) plt.plot(x, y) plt.show() |
Result:
