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Ⅰ. 插件描述

A set of functions for vimux that allow to run code blocks in ipython

Ⅱ. 基本信息

创建日期：  2012-07-05 使用用户：  3 Github星：  37 插件作者：  Julien Rebetez

Ⅲ. 安装方法

使用Vundle管理器安装

在你的.vimrc下添加:

Plugin 'julienr/vimux-pyutils'

… 然后在Vim中运行以下命令:

:source %
:PluginInstall

对于Vundle版本 < 0.10.2，请用上面的Bundle替换Plugin。

使用NeoBundle管理器安装

在你的.vimrc下添加:

NeoBundle 'julienr/vimux-pyutils'

… 然后在Vim中运行以下命令:

:source %
:NeoBundleInstall

使用VimPlug管理器安装

在你的.vimrc下添加:

Plug 'julienr/vimux-pyutils'

… 然后在Vim中运行以下命令:

:source %
:PlugInstall

使用Pathogen管理器安装

在终端中运行以下命令:

cd ~/.vim/bundle
git clone https://github.com/julienr/vimux-pyutils

Ⅳ. 文档说明

Vimux-pyutils

See https://github.com/julienr/vim-cellmode for new version of this plugin.

This is a vim bundle containing some additional, python-specific, functions
on top of vimux :
https://github.com/benmills/vimux/

This plugin allow to select a block of python code in vim and send it to the
vimux tmux split. The assumption is that ipython (or python) is running in said
tmux split and this allow to execute a file chunk-by-chunk.

This is somewhat similar to the code block execution that can be found in
scientific software (for example Matlab).

Keys mapping

By default, the following mappings are enabled :

• C-c will paste and execute the currently selected block in ipython
• C-b will execute the current cell in ipython
  A cell is similar to MATLAB's cell and is defined as the line ranging from

the previous ## to the next ##

Options

If you set vimux_pyutils_use_tslime to 1 in your vimrc, this script will use
tslime instead of vimux. This has the advantage that the script will work
from outside a tmux session (in GVim for example).

Note that tslime has to be configured to target the correct session/pane :

let g:tmux_sessionname='0'
let g:tmux_windowname='./ipython.sh'
let g:tmux_panenumber='0'

let g:vimux_pyutils_use_tslime=1

Difference with vim-ipython

Note that if you want more advanced integration with IPython (using the new
multi-client architecture), there is the vim-ipython project :
https://github.com/ivanov/vim-ipython/

The main difference with vim-ipython is that this plugin simply emulate a paste
as you would do it manually from vim to ipython. This allow to see the result
of the execution directly in the ipython split whereas vim-ipython uses a
separate vim buffer to show the results.