Как добавить меню navigate в jupiter

Как добавить меню navigate в jupiter

JupyterLab provides flexible building blocks for interactive, exploratory computing. While JupyterLab has many features found in traditional integrated development environments (IDEs), it remains focused on interactive, exploratory computing.

The JupyterLab interface consists of a main work area containing tabs of documents and activities, a collapsible left sidebar , and a menu bar . The left sidebar contains a file browser , the list of running kernels and terminals , the command palette , the notebook cell tools inspector , and the tabs list .

JupyterLab sessions always reside in a workspace . Workspaces contain the state of JupyterLab: the files that are currently open, the layout of the application areas and tabs, etc. Workspaces can be saved on the server with named workspace URLs . To learn more about URLs in Jupyterlab, visit JupyterLab URLs .

Menu Bar¶

The menu bar at the top of JupyterLab has top-level menus that expose actions available in JupyterLab with their keyboard shortcuts. The default menus are:

File: actions related to files and directories

Edit: actions related to editing documents and other activities

View: actions that alter the appearance of JupyterLab

Run: actions for running code in different activities such as notebooks and code consoles

Kernel: actions for managing kernels, which are separate processes for running code

Tabs: a list of the open documents and activities in the dock panel

Settings: common settings and an advanced settings editor

Help: a list of JupyterLab and kernel help links

JupyterLab extensions can also create new top-level menus in the menu bar.

Left and Right Sidebar¶

The left sidebar contains a number of commonly-used tabs including:

a list of tabs in the main work and of running kernels and terminals,

the command palette (in 3.0+ moved to a modal window accessible with a keyboard shortcut ),

The right sidebar contains:

the property inspector (active in notebooks),

The column that allows to switch between tabs is called Activity Bar in JupyterLab.

The sidebars can be collapsed or expanded by selecting “Show Left Sidebar” or “Show Right Sidebar” in the View menu or by clicking on the active sidebar tab:

The location of tabs can be switched between the left and the right sidebar from the context menu .

JupyterLab extensions can add additional panels to the sidebars.

Main Work Area¶

The main work area in JupyterLab enables you to arrange documents (notebooks, text files, etc.) and other activities (terminals, code consoles, etc.) into panels of tabs that can be resized or subdivided. Drag a tab to the center of a tab panel to move the tab to the panel. Subdivide a tab panel by dragging a tab to the left, right, top, or bottom of the panel:

The work area has a single current activity. The tab for the current activity is marked with a colored top border (blue by default).

Tabs and Simple Interface Mode¶

The Tabs panel in the left sidebar lists the open documents or activities in the main work area:

The same information is also available in the Tabs menu:

It is often useful to focus on a single document or activity without closing other tabs in the main work area. Simple Interface mode enables this, while making it easy to return to your multi-activity layout in the main work area. Toggle Simple Interface mode using the View menu:

When you leave Simple Interface mode, the original layout of the main area is restored.

Context Menus¶

Many parts of JupyterLab, such as notebooks, text files, code consoles, and tabs, have context menus that can be accessed by right-clicking on the element:

The browser’s native context menu can be accessed by holding down Shift and right-clicking:

Keyboard Shortcuts¶

As in the classic Notebook, you can navigate the user interface through keyboard shortcuts. You can find and customize the current list of keyboard shortcuts by selecting the Advanced Settings Editor item in the Settings menu, then selecting Keyboard Shortcuts in the Settings tab.

You can also customize the text editor to use vim, emacs, or Sublime Text keyboard maps by using the Text Editor Key Map submenu in the Settings menu:

Русские Блоги

Jupyter Notebook — Как отобразить панель навигации каталога (установить расширение Jupyter Notebook)

1 Подтверждение

Спасибо учитель Чжун за ваш совет

2 Введение

Сегодня Учитель Чжун сказал в группе, что вы можете установить расширение Jupyter Notebook для отображения панели навигации по каталогу, эффект такой,

Я чувствую себя довольно хорошо

3 Установите расширения для ноутбуков Jupyter

Используйте следующий код для установки:

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Последняя версия в 2019 году: использование nvm под Windows для переключения между несколькими версиями Node.js.

С использованием различных интерфейсных сред вы можете переключаться между разными версиями в любое время для разработки. Например, развитие 2018 года основано наNode.js 7x версия разработана. Тебе эт.

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README.md

A handy navigation pane for Jupyter Notebook. Jupyter-navbar searches for headers written in markdown cells, and displays links to them in the sidebar in a hierarchical fashion. The sidebar is resizable and collapsible.

1. Clone or download/extract jupyter-navbar
2. Run python setup.py from within the directory

Note: if you have any trouble with setup.py , you may proceed to manual installation.

Either clone or download/extract jupyter-navbar

Locate the .jupyter directory, which should be inside your home directory:

Copy navbar.css and navbar.js to .jupyter/custom/jupyter-navbar/ (create directories as needed)

Copy and paste the following code into .jupyter/custom/custom.js (create file if it doesn’t exist):

Copy and paste the following code at the very top of .jupyter/custom/custom.css (create file if it doesn’t exist):

The code in custom.css and custom.js gets automatically executed when a notebook is loaded. In turn, the navbar code gets called.

Locate the .jupyter directory, which should be inside your home directory:

Locate and remove the following line from .jupyter/custom/custom.js :

Locate and remove the following line from .jupyter/custom/custom.css :

Optional: delete the directory jupyter-navbar from .jupyter/custom/

Compatibility with jupyter-themes

The third-party package jupyter-themes changes the design of Jupyter notebooks. It does so by overwriting the contents of custom.css . When installing jupyter-navbar, you should add the @import code to the top of the file. When changing a theme, you will need to add it again, since the CSS file gets replaced. This can be done either manually, or by running setup.py again.

About

A handy navigation pane for Jupyter Notebook that follows markdown headers

Notebook Basics

When you first start the notebook server, your browser will open to the notebook dashboard. The dashboard serves as a home page for the notebook. Its main purpose is to display the notebooks and files in the current directory. For example, here is a screenshot of the dashboard page for the examples directory in the Jupyter repository:

The top of the notebook list displays clickable breadcrumbs of the current directory. By clicking on these breadcrumbs or on sub-directories in the notebook list, you can navigate your file system.

To create a new notebook, click on the “New” button at the top of the list and select a kernel from the dropdown (as seen below). Which kernels are listed depend on what’s installed on the server. Some of the kernels in the screenshot below may not exist as an option to you.

Notebooks and files can be uploaded to the current directory by dragging a notebook file onto the notebook list or by the “click here” text above the list.

The notebook list shows green “Running” text and a green notebook icon next to running notebooks (as seen below). Notebooks remain running until you explicitly shut them down; closing the notebook’s page is not sufficient.

To shutdown, delete, duplicate, or rename a notebook check the checkbox next to it and an array of controls will appear at the top of the notebook list (as seen below). You can also use the same operations on directories and files when applicable.

To see all of your running notebooks along with their directories, click on the “Running” tab:

This view provides a convenient way to track notebooks that you start as you navigate the file system in a long running notebook server.

Overview of the Notebook UI

If you create a new notebook or open an existing one, you will be taken to the notebook user interface (UI). This UI allows you to run code and author notebook documents interactively. The notebook UI has the following main areas:

Notebook area and cells

The notebook has an interactive tour of these elements that can be started in the “Help:User Interface Tour” menu item.

Modal editor

Starting with IPython 2.0, the Jupyter Notebook has a modal user interface. This means that the keyboard does different things depending on which mode the Notebook is in. There are two modes: edit mode and command mode.

Edit mode

Edit mode is indicated by a green cell border and a prompt showing in the editor area:

When a cell is in edit mode, you can type into the cell, like a normal text editor.

Enter edit mode by pressing Enter or using the mouse to click on a cell’s editor area.

Command mode

Command mode is indicated by a grey cell border with a blue left margin:

When you are in command mode, you are able to edit the notebook as a whole, but not type into individual cells. Most importantly, in command mode, the keyboard is mapped to a set of shortcuts that let you perform notebook and cell actions efficiently. For example, if you are in command mode and you press c , you will copy the current cell — no modifier is needed.

Don’t try to type into a cell in command mode; unexpected things will happen!

Enter command mode by pressing Esc or using the mouse to click outside a cell’s editor area.

Mouse navigation

All navigation and actions in the Notebook are available using the mouse through the menubar and toolbar, which are both above the main Notebook area:

The first idea of mouse based navigation is that cells can be selected by clicking on them. The currently selected cell gets a grey or green border depending on whether the notebook is in edit or command mode. If you click inside a cell’s editor area, you will enter edit mode. If you click on the prompt or output area of a cell you will enter command mode.

If you are running this notebook in a live session (not on http://nbviewer.jupyter.org) try selecting different cells and going between edit and command mode. Try typing into a cell.

The second idea of mouse based navigation is that cell actions usually apply to the currently selected cell. Thus if you want to run the code in a cell, you would select it and click the button in the toolbar or the “Cell:Run” menu item. Similarly, to copy a cell you would select it and click the button in the toolbar or the “Edit:Copy” menu item. With this simple pattern, you should be able to do most everything you need with the mouse.

Markdown cells have one other state that can be modified with the mouse. These cells can either be rendered or unrendered. When they are rendered, you will see a nice formatted representation of the cell’s contents. When they are unrendered, you will see the raw text source of the cell. To render the selected cell with the mouse, click the button in the toolbar or the “Cell:Run” menu item. To unrender the selected cell, double click on the cell.

Keyboard Navigation

The modal user interface of the Jupyter Notebook has been optimized for efficient keyboard usage. This is made possible by having two different sets of keyboard shortcuts: one set that is active in edit mode and another in command mode.

The most important keyboard shortcuts are Enter , which enters edit mode, and Esc , which enters command mode.

In edit mode, most of the keyboard is dedicated to typing into the cell’s editor. Thus, in edit mode there are relatively few shortcuts. In command mode, the entire keyboard is available for shortcuts, so there are many more. The Help -> Keyboard Shortcuts dialog lists the available shortcuts.

We recommend learning the command mode shortcuts in the following rough order: