To plot a multidimensional array in a 3D plot, you can use various libraries in different programming languages. I'll provide an example using Python and the popular library Matplotlib. Make sure you have Matplotlib installed:
```bash
pip install matplotlib
```
Here's a basic example of how to create a 3D plot for a multidimensional array using Matplotlib:
```python
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
# Create a sample multidimensional array
# Replace this with your own data
data = np.array([
[1, 2, 3],
[4, 5, 6],
[7, 8, 9]
])
# Get the dimensions of the array
x_size, y_size = data.shape
x = np.arange(x_size)
y = np.arange(y_size)
X, Y = np.meshgrid(x, y)
# Create a 3D plot
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
# Plot the data
ax.plot_surface(X, Y, data)
# Add labels and title
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
plt.title('3D Plot of Multidimensional Array')
# Show the plot
plt.show()
```
In this example, we create a sample multidimensional array called `data`. You should replace this with your own data. The `X` and `Y` arrays are generated to represent the grid in the x and y dimensions.
The `ax.plot_surface(X, Y, data)` function is used to create a 3D surface plot of the data. You can customize the labels, title, and appearance of the plot to suit your needs.
This is a basic example, and you can further customize the 3D plot using Matplotlib's extensive features for styling, color mapping, and more.