How to hide an axis of a 3d plot in Matplotlib

How to hide an axis of a 3d plot in Matplotlib

In Python, you can use libraries like Matplotlib to create 3D plots and customize them, including hiding specific axes. To hide an axis of a 3D plot, you can set its visibility to False. Here's how you can do it:

import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D # Create a 3D plot fig = plt.figure() ax = fig.add_subplot(111, projection='3d') # Create some sample data x = [1, 2, 3, 4, 5] y = [2, 3, 4, 5, 6] z = [3, 4, 5, 6, 7] # Plot the data points ax.scatter(x, y, z) # Hide the x-axis ax.w_xaxis.line.set_color("white") ax.w_xaxis.label.set_color("white") # Hide the y-axis ax.w_yaxis.line.set_color("white") ax.w_yaxis.label.set_color("white") # Hide the z-axis ax.w_zaxis.line.set_color("white") ax.w_zaxis.label.set_color("white") # Set axis labels ax.set_xlabel("X Label") ax.set_ylabel("Y Label") ax.set_zlabel("Z Label") plt.show()

In this example, we create a 3D plot and hide the x-axis, y-axis, and z-axis by setting the colors of their lines and labels to white. You can customize the color to match the background color of your plot if needed.

Make sure to replace the sample data (x, y, z) with your actual data when creating your 3D plot.

Examples

  1. "Matplotlib 3D plot hide axis code example"

    • Description: This query seeks a specific code example demonstrating how to hide the axes of a 3D plot using Matplotlib.
    • Code:
      import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D import numpy as np fig = plt.figure() ax = fig.add_subplot(111, projection='3d') # Generate random data x = np.random.standard_normal(100) y = np.random.standard_normal(100) z = np.random.standard_normal(100) # Plot data points ax.scatter(x, y, z) # Hide axis ax.set_axis_off() plt.show()

  2. "Hide x,y,z axis in Matplotlib 3D plot Python"

    • Description: This query specifically asks for code to hide the x, y, and z axes in a 3D plot using Matplotlib.
    • Code:
      import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D import numpy as np fig = plt.figure() ax = fig.add_subplot(111, projection='3d') # Generate random data x = np.random.standard_normal(100) y = np.random.standard_normal(100) z = np.random.standard_normal(100) # Plot data points ax.scatter(x, y, z) # Hide individual axes ax.set_xticks([]) ax.set_yticks([]) ax.set_zticks([]) plt.show()

  3. "Python Matplotlib 3D plot hide axes labels"

    • Description: This query focuses on hiding the labels of the axes in a 3D plot created using Matplotlib.
    • Code:
      import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D import numpy as np fig = plt.figure() ax = fig.add_subplot(111, projection='3d') # Generate random data x = np.random.standard_normal(100) y = np.random.standard_normal(100) z = np.random.standard_normal(100) # Plot data points ax.scatter(x, y, z) # Hide axis labels ax.set_xticklabels([]) ax.set_yticklabels([]) ax.set_zticklabels([]) plt.show()

  4. "Remove axes in 3D plot using Matplotlib Python"

    • Description: This query aims to find code to remove axes from a 3D plot created with Matplotlib in Python.
    • Code:
      import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D import numpy as np fig = plt.figure() ax = fig.add_subplot(111, projection='3d') # Generate random data x = np.random.standard_normal(100) y = np.random.standard_normal(100) z = np.random.standard_normal(100) # Plot data points ax.scatter(x, y, z) # Remove axes ax.axis('off') plt.show()

  5. "Matplotlib 3D plot no axis lines"

    • Description: This query is about creating a 3D plot with no visible axis lines using Matplotlib.
    • Code:
      import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D import numpy as np fig = plt.figure() ax = fig.add_subplot(111, projection='3d') # Generate random data x = np.random.standard_normal(100) y = np.random.standard_normal(100) z = np.random.standard_normal(100) # Plot data points ax.scatter(x, y, z) # Hide axis lines ax.line.set_visible(False) plt.show()

  6. "How to turn off axes in Matplotlib 3D plot"

    • Description: This query asks how to turn off or disable axes in a 3D plot using Matplotlib.
    • Code:
      import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D import numpy as np fig = plt.figure() ax = fig.add_subplot(111, projection='3d') # Generate random data x = np.random.standard_normal(100) y = np.random.standard_normal(100) z = np.random.standard_normal(100) # Plot data points ax.scatter(x, y, z) # Turn off axes ax.axis('off') plt.show()

  7. "Hide 3D plot axes using Python Matplotlib"

    • Description: This query looks for a way to hide the axes of a 3D plot created with Matplotlib using Python.
    • Code:
      import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D import numpy as np fig = plt.figure() ax = fig.add_subplot(111, projection='3d') # Generate random data x = np.random.standard_normal(100) y = np.random.standard_normal(100) z = np.random.standard_normal(100) # Plot data points ax.scatter(x, y, z) # Hide axes ax.set_axis_off() plt.show()

  8. "Matplotlib 3D plot without axis ticks"

    • Description: This query focuses on creating a 3D plot using Matplotlib without any ticks along the axes.
    • Code:
      import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D import numpy as np fig = plt.figure() ax = fig.add_subplot(111, projection='3d') # Generate random data x = np.random.standard_normal(100) y = np.random.standard_normal(100) z = np.random.standard_normal(100) # Plot data points ax.scatter(x, y, z) # Remove axis ticks ax.set_xticks([]) ax.set_yticks([]) ax.set_zticks([]) plt.show()

  9. "How to hide axis lines in 3D plot using Matplotlib"

    • Description: This query specifically asks for code demonstrating how to hide axis lines in a 3D plot using Matplotlib.
    • Code:
      import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D import numpy as np fig = plt.figure() ax = fig.add_subplot(111, projection='3d') # Generate random data x = np.random.standard_normal(100) y = np.random.standard_normal(100) z = np.random.standard_normal(100) # Plot data points ax.scatter(x, y, z) # Hide axis lines ax._axis3don = False plt.show()

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