Matplotlib.axes.Axes.axis() in Python Last Updated : 28 May, 2025 Comments Improve Suggest changes Like Article Like Report The Axes.axis() function in Matplotlib is used to get or set the properties of the x-axis and y-axis limits on a given Axes object. It provides an easy way to control the view limits, aspect ratio, and visibility of the axes in a plot. It's key feature include:Get the current axis limits as [xmin, xmax, ymin, ymax].Set custom axis limits by passing a list or tuple [xmin, xmax, ymin, ymax].Control axis appearance and scaling by passing specific string options like 'equal', 'tight', 'off', 'on'.Modifies the Axes object in-place and affects both x-axis and y-axis simultaneously.SyntaxAxes.axis(self, *args, **kwargs)Parameters: This method accept the following parameters that are described below: xmin, xmax, ymin, ymax : These parameter are the axis limits to be set. axis([xmin, xmax, ymin, ymax])option : This parameter is the used to turns axis lines and labels on or off or the options.emit : This parameter is used to check whether the observers are notified of the axis limit change.Returns: This method returns the following: xmin, xmax, ymin, ymax :This returns the axis limits.ExamplesExample 1: Python import matplotlib.pyplot as plt import numpy as np lbls = ['Geek1', 'Geek2', 'Geek3', 'Geek4', 'Geek5'] vals = [95, 230, 145, 40, 65] exp = (0, 0.2, 0, 0, 0) fig, ax = plt.subplots() ax.pie(vals, explode=exp, labels=lbls, autopct='%1.0f%%', shadow=True, startangle=90) ax.axis('square') ax.set_title('matplotlib.axes.Axes.axis() Example\n', fontsize=14, fontweight='bold') plt.show() OutputExplanation: A pie chart is created with custom slice sizes and labels. The explode parameter highlights the second slice by offsetting it. Using ax.axis('square') ensures the plot area is square, keeping the pie circular and evenly scaled.Example 2: Python import matplotlib.pyplot as plt import matplotlib.patches as patches import matplotlib.cbook as cbook # Load sample image with cbook.get_sample_data('geek.JPG') as img_file: img = plt.imread(img_file) fig, (ax1, ax2) = plt.subplots(2, 1) # First subplot im1 = ax1.imshow(img) clip_rect1 = patches.Rectangle((0, 0), 260, 200, transform=ax1.transData) im1.set_clip_path(clip_rect1) ax1.set_title('Without Axis Function', fontsize=10, fontweight='bold') # Second subplot im2 = ax2.imshow(img) clip_rect2 = patches.Rectangle((0, 0), 260, 200, transform=ax2.transData) im2.set_clip_path(clip_rect2) ax2.axis('off') ax2.set_title("Axis Function with 'Off' option", fontsize=10, fontweight='bold') plt.show() OutputExplanation: A sample image is displayed in two vertical subplots with clipping applied. The first shows axes normally, while the second hides all axis elements using ax.axis('off') for a cleaner view. Comment More infoAdvertise with us Next Article Matplotlib.axes.Axes.axis() in Python S SHUBHAMSINGH10 Follow Improve Article Tags : Python Python-matplotlib Practice Tags : python Similar Reads Python Tutorial | Learn Python Programming Language Python Tutorial â Python is one of the most popular programming languages. Itâs simple to use, packed with features and supported by a wide range of libraries and frameworks. Its clean syntax makes it beginner-friendly.Python is:A high-level language, used in web development, data science, automatio 10 min read Python Interview Questions and Answers Python is the most used language in top companies such as Intel, IBM, NASA, Pixar, Netflix, Facebook, JP Morgan Chase, Spotify and many more because of its simplicity and powerful libraries. 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