LS-PrePost Python Scripting - #01

 Introduction

As CAE analysts, we often spend hours doing the same repetitive tasks — checking post-processing results, generating graphs, and exporting data manually.

It’s time-consuming and adds no real engineering value.

That’s where Python scripting in LS-PrePost becomes a game-changer. 🧠✨

It gives us the power to automate these repetitive actions — right inside LS-PrePost — saving time, reducing errors, and letting us focus on what truly matters: engineering insights.

Start Learning!

🐍 Step 1: Install Python

Make sure the correct Python version is installed based on your LS-PrePost version:

🔹 For LS-PrePost 4.9 or below → Python 3.6
👉 Download Python 3.6 (Windows x64)

🔹 For LS-PrePost 4.10 or newer → Python 3.10
👉 Download Python 3.10 (Windows x64)

🐍 Step 2: Open LS-PrePost Command Line

In the LS-PrePost command input window, type the following command:

setpythonhome "C:\Users\Rushikesh Patil\AppData\Local\Programs\Python\Python310"

🐍 Step 3: Run Your First Script

After linking Python, you can run any .py file directly from LS-PrePost using:

runpython "C:\Lspp_script\myscript.py"

🐍 Step 4: Run Your First Script

Here’s your first Python script that interacts directly with LS-PrePost’s internal DataCenter:

import DataCenter as dc

import LsPrePost as lspp

# --- Get basic model info directly from DataCenter ---

num_nodes = dc.get_data("num_nodes")

num_elements = dc.get_data("num_elements")

num_parts = dc.get_data("num_parts")

print("===== MODEL SUMMARY =====")

print(f"Total Nodes     : {num_nodes}")

print(f"Total Elements  : {num_elements}")

print(f"Total Parts     : {num_parts}")

 

A Simple Beginner Example 01:  Python Scripting in LS-PrePost 

Output in LS-PrePost message window:

  

Output in LS-PrePost message window

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your support is the biggest motivation for me to keep creating and sharing more practical LS-PrePost content for CAE engineers. 🌟

What’s Next?

In the upcoming posts, I’ll be sharing more LS-DYNA scripting examples — from beginner to advanced — that will help you automate your LS-PrePost workflow and explore the full potential of scripting in CAE.

Stay tuned, learn from each script, and make your LS-PrePost learning journey more powerful and enjoyable. 

🔖 Author :

Rushikesh Patil - CAE Analyst (Automotive Domain)

🌐 LinkedIn: Rushikesh Patil | LinkedIn
✍️ Dedicated to empowering CAE engineers through automation, scripting, and continuous learning.