...

Library - Matplotlib

Back to Course

Lesson Description


Lession - #506 matplotlib Label


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(>


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(>