jupyter notebook extensions 安装

pip方式安装

pip install jupyter_contrib_nbextensions

或者通过github master branch安装

pip install https://github.com/ipython-contrib/jupyter_contrib_nbextensions/tarball/master

Conda方式安装

conda install -c conda-forge jupyter_contrib_nbextensions

通过github 仓库安装

git clone https://github.com/ipython-contrib/jupyter_contrib_nbextensions.git
pip install -e jupyter_contrib_nbextensions

常用插件列表

全部jupyter插件列表在这里：

http://jupyter-contrib-nbextensions.readthedocs.io/en/latest/nbextensions.html

我觉得有用的插件列表：

• Autopep8

  格式化代码插件

• Codefolding 和 Codefolding in Editor

  折叠代码插件

• Collapsible Headings

  Collapsible Headings icon
  Allows notebook to have collapsible sections, separated by headings

• contrib_nbextensions_help_item：帮助

• Drag and Drop

  This extension allows dragging&dropping images from the desktop or other programs into a notebook.

• ExecuteTime：

  Display when each cell has been executed and how long it took

• Freeze

  Freeze cells (forbid editing and executing) or make them read-only

• highlighter

  markdown内容高亮

• Hinterland

  实时的自动补全，很不错

• Nbextensions dashboard tab & Nbextensions edit menu item

• ScrollDown

  自动向下滚动输出

• Snippets & Snippets Menu

  插入代码片段的，可以自定义

• Table of Contents (2)

  The toc2 extension enables to collect all running headers and display them in a floating window, as a sidebar or with a navigation menu. The extension is also draggable, resizable, collapsable, dockable and features automatic numerotation with unique links ids, and an optional toc cell.

• table_beautifier

  Add bootstrap styling to tables in markdown cells and in html/md output

• Toggle all line numbers

  Add a toolbar button and hotkey to toggle all cells’ line numbers on or off

• Tree Filter

  An extension that allows you to filter by filename in the Jupyter notebook file tree (aka dashboard) page.

• Variable Inspector

  The Variable Inspector extension collects all defined variables and display them in a floating window.

原始数据样例如下：

date        code    count
20170801    000001      10
20170802    000002      20
20170803    000001      30

使用pivot处理数据，命令如下：

df.pivot(index=‘date’,columns=‘code’,values=‘count’)

执行后报错信息：

ValueError: Index contains duplicate entries, cannot reshape

说明column有重复信息，使用如下命令检查重复列内容：

df = df.sort_values(['date','code','count'],ascending=[1,1,0])
df = df[(df['code'] == df['code'].shift(1)) | (df['code'] == df['code'].shift(-1))]

发现code列有哪些重复数据

生成jupyter配置文件:

jupyter notebook --generate-config

注意：generate前是两个"-"，不知道为什么markdown里是两个，显示的时候成一个了

生成好的配置文件位置在：

~/.jupyter/jupyter_notebook_config.py

生成自签名SSL证书：

cd ~/.jupyter
openssl req -x509 -nodes -days 365 -newkey rsa:1024 -keyout notebook_cert.key -out notebook_cert.pem

生成一个登录密码的hash:

python -c “import IPython;print(IPython.lib.passwd())”

修改jupyter_notebook_config.py配置文件中的如下选项：

c.NotebookApp.certfile = u'/home/xxxx/.jupyter/notebook_cert.pem'
c.NotebookApp.keyfile = u'/home/xxxx/.jupyter/notebook_cert.key'
c.NotebookApp.password = u'sha1:991ec9cd2f39:522598e19891bab1ecaa3a9072e71f45811af9f2'

重启jupyter，使用浏览器访问：https://your_domain_or_IP:8080

参考

http://jupyter-notebook.readthedocs.io/en/latest/public_server.html#notebook-server-security

http://www.linuxdiyf.com/linux/22884.html