matplotlib labels

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 npimport matplotlib.pyplot as pltx = 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:



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Example

Add labels to the x- and y-axis:

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 npimport matplotlib.pyplot as pltx = 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:



Try it Yourself »

Example

Add a plot title and labels for the x- and y-axis:

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 npimport matplotlib.pyplot as pltx = 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:



Try it Yourself »

Example

Set font properties for the title and labels:

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 npimport matplotlib.pyplot as pltx = 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:



Try it Yourself »

Example

Position the title to the left:

Result: