Tips for adjusting the voxel sizes in Matplotlib?

Question

Tips for adjusting the voxel sizes in Matplotlib?

Looking to adjust the voxel dimensions using Matplotlib. How can I achieve this?

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

fig = plt.figure()
ax = fig.gca(projection='3d')
# Create grid
test2 = np.zeros((6, 6, 6))
# Activate single Voxel
test2[1, 0, 4] = True

ax.voxels(test2, edgecolor="k")
ax.set_xlabel('0 - Dim')
ax.set_ylabel('1 - Dim')
ax.set_zlabel('2 - Dim')

plt.show()

Instead of the voxel at position (1,0,4), I want to scale it to (0.5,0,2).

python matplotlib voxel

Answer 1

Answer №1

To customize the coordinates for the voxels function, refer to the API reference.

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

fig = plt.figure()
ax = fig.gca(projection='3d')
# Creating a grid
test2 = np.zeros((6, 6, 6))
# Activating a single Voxel
test2[1, 0, 4] = True

# Defining custom coordinates for the grid
x,y,z = np.indices((7,7,7))/2

# Passing the custom coordinates as additional arguments
ax.voxels(x, y, z, test2, edgecolor="k")
ax.set_xlabel('0 - Dim')
ax.set_ylabel('1 - Dim')
ax.set_zlabel('2 - Dim')

plt.show()

The above code snippet would generate this output:

https://i.stack.imgur.com/JE7TU.png

Answer 2

To customize the coordinates for the voxels function, refer to the API reference.

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

fig = plt.figure()
ax = fig.gca(projection='3d')
# Creating a grid
test2 = np.zeros((6, 6, 6))
# Activating a single Voxel
test2[1, 0, 4] = True

# Defining custom coordinates for the grid
x,y,z = np.indices((7,7,7))/2

# Passing the custom coordinates as additional arguments
ax.voxels(x, y, z, test2, edgecolor="k")
ax.set_xlabel('0 - Dim')
ax.set_ylabel('1 - Dim')
ax.set_zlabel('2 - Dim')

plt.show()

The above code snippet would generate this output:

https://i.stack.imgur.com/JE7TU.png

Answer 3

Answer №2

voxels are capable of accepting the grid coordinates to position the voxels.

voxels([x, y, z, ]/, filled, ...)
x, y, z : a 3D np.array that is optional
These values represent the corners of the voxels. They should broadcast to a shape larger by one dimension in each direction compared to the shape of the filled input. This allows for plotting non-cubic voxels.

If these values are not specified, they default to increasing integers along each axis, similar to what is returned by indices(). Additionally, based on the / in the function signature, these arguments can only be passed positionally.

In this particular scenario,

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

fig = plt.figure()
ax = fig.gca(projection='3d')
# Create grid
voxels = np.zeros((6, 6, 6))
# Activate a single Voxel
voxels[1, 0, 4] = True

x,y,z = np.indices(np.array(voxels.shape)+1)

ax.voxels(x*0.5, y, z, voxels, edgecolor="k")
ax.set_xlabel('0 - Dimension')
ax.set_ylabel('1 - Dimension')
ax.set_zlabel('2 - Dimension')

plt.show()

Answer 4

voxels are capable of accepting the grid coordinates to position the voxels.

voxels([x, y, z, ]/, filled, ...)
x, y, z : a 3D np.array that is optional
These values represent the corners of the voxels. They should broadcast to a shape larger by one dimension in each direction compared to the shape of the filled input. This allows for plotting non-cubic voxels.

If these values are not specified, they default to increasing integers along each axis, similar to what is returned by indices(). Additionally, based on the / in the function signature, these arguments can only be passed positionally.

In this particular scenario,

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

fig = plt.figure()
ax = fig.gca(projection='3d')
# Create grid
voxels = np.zeros((6, 6, 6))
# Activate a single Voxel
voxels[1, 0, 4] = True

x,y,z = np.indices(np.array(voxels.shape)+1)

ax.voxels(x*0.5, y, z, voxels, edgecolor="k")
ax.set_xlabel('0 - Dimension')
ax.set_ylabel('1 - Dimension')
ax.set_zlabel('2 - Dimension')

plt.show()

Tips for adjusting the voxel sizes in Matplotlib?

Answer №1

Answer №2

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