Python

Extend JMP Capabilities with the Integrated Python Environment

JMP includes a robust Python integration feature set, combining Python’s versatility with JMP's data visualization and analysis capabilities.

Python integration features include:

• A Python script editor available within JMP

• Easy extension of Python with packages such as Pandas and PyArrow

• PY file support

• Enhanced Error Log reporting

• Direct memory access from JMP data tables and JSL to Python

Figure 15.1 Python Script Editor with Embedded Log 

Contents

The Python Script Editor

The jmp Package for Python

Using the Help Function

Working with JMP Data Tables

Indexing in Python

Column-Row Orientation in the jmp Package

Slice

Using Operators to Test JMP Objects

Using JSL Commands in the Python Script Editor

Install a Python Package

The jmputils Package

Using the Terminal or Command Line to Work with jpip

Install Python Packages in JMP’s Python Environment

Install Compiled Python Packages using the Command Line and jpip

Avoiding Errors with Previously Installed Packages

Avoiding Issues with NumPy and Matplotlib

Creating a Pandas DataFrame from a JMP Data Table

Replicating Pandas DataFrame Transfer Methods

JSL-to-Python Interfaces

Equivalent Data Types for Python Send()

Equivalent Data Types for Python Get()

JMP Scoping Operators and Python

Python Name() and Python Send() Examples

Install Python Packages using JSL

Additional JSL-to-Python Examples

Python Syntax Reference

jmp Package Functions

Data Table Functions

Data Table Properties

Column Properties

jmp Package Objects

jmp Package Constants

Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).