import pandas as pd import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D # Load the CSV data into a Pandas DataFrame df = pd.read_csv('path/to/your/csv/file.csv') # Extract the x, y, and z columns from the DataFrame x = df['x'] y = df['y'] z = df['z'] # Create a 3D scatter plot fig = plt.figure() ax = fig.add_subplot(111, projection='3d') ax.scatter(x, y, z) # Set the axis labels ax.set_xlabel('X Label') ax.set_ylabel('Y Label') ax.set_zlabel('Z Label') # Show the plot plt.show()
In this example, you would need to replace 'path/to/your/csv/file.csv' with the actual path to your CSV file, and 'x', 'y', and 'z' with the column names in your CSV file that correspond to the x, y, and z dimensions of your data.
I hope that helps! Let me know if you have any other questions.
I hope that helps! Let me know if you have any other questions.
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