generate a 3D chart in Python using the CSV data

标签：csv Python chart file ax using CSV data your

Here's an example of how you could use Matplotlib to create a 3D scatter plot from your CSV data:      

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.

标签：csv,Python,chart,file,ax,using,CSV,data,your
From： https://www.cnblogs.com/yellow3gold/p/17408075.html