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! Official Release
 
! Official Release
| [https://pymol.org PyMOL v2.4 has been released] on May 20, 2020.
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| [https://pymol.org PyMOL v2.5 has been released] on May 10, 2021.
 
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! Python 3
 
! Python 3
 
| New [[2to3|Python 3 compatibility guide]] for scripts and plugins
 
| New [[2to3|Python 3 compatibility guide]] for scripts and plugins
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! Official Release
 
| [https://pymol.org PyMOL v2.3 has been released] on February 11, 2019.
 
 
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! POSF
 
! POSF

Latest revision as of 03:21, 22 June 2021

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Welcome to the PyMOL Wiki!
The community-run support site for the PyMOL molecular viewer.
To request a new account, email SBGrid at: accounts (@) sbgrid dot org
Quick Links
Tutorials Table of Contents Commands
Script Library Plugins FAQ
Gallery | Covers PyMOL Cheat Sheet (PDF) Getting Help
News & Updates
Official Release PyMOL v2.5 has been released on May 10, 2021.
Python 3 New Python 3 compatibility guide for scripts and plugins
POSF New PyMOL fellows announced for 2018-2019
Tutorial Plugins Tutorial updated for PyQt5
New Plugin PICv is a new plugin for clustering protein-protein interactions and visualization with available data from PDBe
Selection keywords New polymer.protein and polymer.nucleic selection keywords. Thanks everyone who participated in the poll!
Plugin Update MOLE 2.5 is an updated version of channel analysis software in PyMOL
New Script dssr_block is a wrapper for DSSR (3dna) and creates block-shaped nucleic acid cartoons
Older News See Older News.
Did you know...

Load img stack

Type Python Script
Download load_img_stack.py
Author(s) Thomas Holder
License BSD-2-Clause
This code has been put under version control in the project Pymol-script-repo

This script adds the load_img_stack command, which loads a set of images as a map object. The images can either be individual files, or contained in a multi-page TIFF file.

Usage

load_img_stack pattern [, name [, grid [, channel [, normalize [, extent ]]]]]

Arguments

  • pattern = str: image filename or pattern
  • name = str: map object name to create
  • grid = float: grid spacing in Angstrom {default: 1.0}
  • channel = int: color channel for RGB images {default: 0}
  • normalize = 0 or 1: normalize data {default: 1}
  • extent = 3-float: (a,b,c) edge lengths in Angstrom, overwrites "grid" arguments if given {default: }

Example

load_img_stack img*.png, name=map, extent=(10.0, 10.0, 5.0)
volume vol, map, rainbow

See Also

A Random PyMOL-generated Cover. See Covers.