Download Plot Image From Jupiter Book Output
Jupyter notebook support
With Jupyter Notebook integration available in PyCharm , yous can easily edit, execute, and debug notebook source lawmaking and examine execution outputs including stream data, images, and other media.
Notebook support in PyCharm includes:
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Editing and preview:
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Ability to present a notebook every bit source lawmaking with textual prison cell definitions and dispense cells equally regular code.
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Live preview of the jail cell execution output and Markdown content.
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Auto-saving changes that you make in your files. Saving is triggered by diverse events, for case, endmost a file or a project, or quitting the IDE.
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Coding assistance:
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Error and syntax highlighting.
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Code completion.
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Power to create line commentsCtrl+/.
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Power to run cells and preview execution results.
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Dedicated Jupyter Notebook Debugger.
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Shortcuts for bones operations with Jupyter notebooks.
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Ability to recognize .ipynb files and marker them with the icon.
Quick start with the Jupyter notebook in PyCharm
To showtime working with Jupyter notebooks in PyCharm:
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Create a new Python project, specify a virtual environment, and install the jupyter package.
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Open or create an .ipynb file.
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Add and edit source cells.
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Execute any of the code cells to launch the Jupyter server.
Get familiar with the user interface
Mind the following user interface features when working with Jupyter notebooks in PyCharm.
Notebook editor
A Jupyter notebook opened in the editor has its specific UI elements:
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Jupyter notebook toolbar: provides quick access to the most pop actions. The rest of the notebook specific actions are available in the menu.
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Code jail cell: a notebook cell that contains an executable code
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Jail cell output: results of the lawmaking cell execution; can be presented by a text output, table, or plot.
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Cell toolbar: a toolbar of the code jail cell with the most popular commands. By default, prison cell toolbars are disabled. To enable them, open project settings/preferences (Ctrl+Alt+South), get to , and select the Bear witness cell toolbar checkbox.
Cell toolbar
Each code jail cell has its configurable toolbar so that yous can hands access the most popular commands and actions. Past default, cell toolbars are disabled. To enable them, open project settings/preferences (Ctrl+Alt+S), go to , and select the Show cell toolbar checkbox.
Toolbar element | Clarification |
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| Executes the code prison cell. You can also press Ctrl+Enter to run the code cell. |
| Executes this cell and select the cell beneath. Printing Shift+Enter to phone call the aforementioned activity. |
| Moves the current cell up |
| Moves the current cell downwards |
| Deletes the current cell |
| Open the list of boosted call actions:
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Notebook toolbar
The Jupyter notebook toolbar provides quick access to all bones operations with notebooks:
Toolbar element | Description |
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| Add a code cell below the selected cell. |
| Moves the current cell upwards |
| Moves the current prison cell down |
| Executes this prison cell and selects a jail cell beneath. If there is no a cell below, PyCharm volition create it. |
| Starts debugging for this cell. |
| Click this icon if y'all desire to interrupt any cell execution. |
| Click this icon to restart the currently running kernel |
| Executes all cells in the notebook. |
| Y'all tin can select a cell blazon from this list and change the type for the selected cell. |
| Deletes the electric current jail cell. |
| The Jupyter Server widget that shows the currently used Jupyter server. Click the widget and select to setup another local or remote Jupyter server. |
| Listing of the available Jupyter kernels. |
| Select this checkbox to let executing JavaScript in your Jupyter notebook. |
| This deportment selects the cell above. |
| This actions selects the cell blow. |
| You can preview the notebook in a browser. |
Tool windows
The Server Log tab of the Jupyter tool window appears when you have any of the Jupyter server launched. The Server log tab of this window shows the current state of the Jupyter server and the link to the notebook in a browser.
It also provides controls to stop the running server () and launch the stopped server ().
The Jupyter Variables tool window the detailed report almost variable values of the executed cell.
You can use the icon to manage the variables loading policy.
Terminal modified: xviii November 2021
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