Matplotlib is a library in Python used to create figures and provide tools for customizing it. It allows plotting different types of data, geometrical figures. In this article, we will see how to add axes to a figure in matplotlib.
We can add axes to a figure in matplotlib by passing a list argument in the add_axes() method.
Syntax: matplotlib.pyplot.figure.add_axes(rect)
Parameters:
rect: This parameter is the dimensions [xmin, ymin, dx, dy] of the new axes. It takes the below elements as arguments in the list:
- xmin: Horizontal coordinate of the lower left corner.
- ymin: Vertical coordinate of the lower left corner.
- dx: Width of the subplot.
- dy: Height of the subplot.
Returns: This method return the axes class depends on the projection used.
Below are some programs which depict how to add axes to a figure in matplotlib:
Example 1:
Python3
# Importing libraryimport matplotlib # Create figure() objects# This acts as a container# for the different plotsfig = matplotlib.pyplot.figure() # Creating axis# add_axes([xmin,ymin,dx,dy])axes = fig.add_axes([0.5, 1, 0.5, 1]) # Depict illustrationfig.show() |
Output:
Example 2:
Python3
# Importing libraryimport matplotlib # Create figure() objects# This acts as a container # for the different plotsfig=matplotlib.pyplot.figure() # Creating two axes# add_axes([xmin,ymin,dx,dy])axes=fig.add_axes([0,0,2,2]) axes1=fig.add_axes([0,1,2,2]) # Depict illustrationfig.show() |
Output:
Example 3:
Python3
# Import librariesimport matplotlibimport numpy # Create figure() objects# This acts as a container# for the different plotsfig = matplotlib.pyplot.figure() # Generate line graphx = numpy.arange(0, 1.414*2, 0.05)y1 = numpy.sin(x)y2 = numpy.cos(x) # Creating two axes# add_axes([xmin,ymin,dx,dy])axes1 = fig.add_axes([0, 0, 1, 1])axes1.plot(x, y1)axes2 = fig.add_axes([0, 1, 1, 1])axes2.plot(x, y2) # Show plotplt.show() |
Output:
