Matplotlib legend in subplot

by Online Tutorials Library July 14, 2022

Matplotlib legend in subplot

In this tutorial, we will learn how Matplotlib can be used to include legends in subplots. The legend can be added after creating the plot using the legend() function.

Syntax:

The syntax for legend in subplot is:

where, loc is used for location.

Approaches:

Following are the approaches we will use for displaying legend in the subplot in Matplotlib:

First, we will use the subplots() function for creating subplots in a bigger plot.
Then, we will use the legend() function for adding a label to the curves.
At last, we will show the plots by using the show()

Example 1:

In this example, we will plot the scatter graph using subplot of log10 and exponential:

  # First, we will import the required modules  from matplotlib import pyplot as PPlt  import numpy as nmp      # here we will assign the value to x axis  x_axis1 = nmp.arange(2, 22, 1.5)      # Now, we will get the value of log10  y_axis_log10_1 = nmp.log10(x_axis)      # then, we will get the value of exponential  y_axix_exp1 = nmp.exp(x_axis)      # Here, we will create subplots by using subplot() function  fig, axes = PPlt.subplots(2)      # now, we will depicte the visualization  axes[0].plot(x_axis1, y_axis_log10_1, color = ‘Red’, label = “log10”)  axes[1].plot(x_axis1, y_axix_exp1, color = ‘Pink’, label = “exponential”)      # Here, we will select the position at which legend to be added  axes[0].legend(loc = ‘best’)  axes[1].legend(loc = ‘best’)      # At last, we will display the plot    PPlt.show()  

Output

Matplotlib legend in subplot

Example 2:

In this example, we will plot the scatter graph using subplot of sine and cos:

  # First, we will import the required modules  from matplotlib import pyplot as PPlt  import numpy as nmp      # here we will assign the value to x axis  x_axis1 = nmp.arange(-2, 3, 0.5)      # Now, we will get the value of sine  y_axis_sine1 = nmp.sin(x_axis)      # Now, we will get the value of cos  y_axix_cose1 = nmp.cos(x_axis)      # Here, we will create subplots by using subplot() function  fig, axes = PPlt.subplots(2)      # now, we will depicte the visualization  axes[0].scatter(x_axis1, y_axis_sine1, color = ‘Red’, marker = ‘*’, label = “sine”)  axes[1].scatter(x_axis1, y_axix_cose1, color = ‘Black’, marker = ‘*’, label = “cos”)      # Here, we will select the position at which legend to be added  axes[0].legend(loc = ‘best’)  axes[1].legend(loc = ‘best’)      # At last, we will display the plot  PPlt.show()  

Output

Matplotlib legend in subplot

Example 3:

In this example, we will plot the scatter graph using subplot of (y = x^2) and (y = x^3):

  # First, we will import the required modules  from matplotlib import pyplot as PPlt      # here we will assign value to x axis  x_axis = list(range(-15, 15))      # here, we will get the value of x * x  y_axis_1 = [x * x for x in x_axis]      # here, we will get the value of x * x * x  y_axix_2 = [x * x * x for x in x_axis]      # Now, we will create subplots by using subplot() function  fig, axes = PPlt.subplots(2)      # Now, we will depicte the visualization  axes[0].scatter(x_axis, y_axis_1, color = ‘Blue’, marker = ‘*’, label = “y = x ^ 2”)  axes[1].scatter(x_axis, y_axix_2, color = ‘Brown’, marker = ‘*’, label = “y = x ^ 3”)      # Here, we will select the position at which legend to be added  axes[0].legend(loc = ‘upper center’)  axes[1].legend(loc = ‘upper left’)      # At last, we will display the plot  PPlt.show()  

Output

Matplotlib legend in subplot

Conclusion

In this tutorial, we have discussed how to use legend in the subplot of matplotlib graphs using different methods.

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Matplotlib legend in subplot

Matplotlib legend in subplot

Syntax:

Approaches:

Example 1:

Example 2:

Example 3:

Conclusion

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