The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Datagrok allows to create, edit, import, link and apply Notebooks into tables.
Creating a new notebook is very easy. There are several ways to do this:
- Click
Functions | Notebooks | New Notebook - Run #{x.CmdNewNotebook} from the console
- Select one or more tables and click
Actions | Open in Notebookson the Property Panel
If you want to link a notebook to one or more tables, please use the third method.
In the Notebooks Browser, you can navigate over all available notebooks. If any of notebooks can be applicable to any of opened tables, it will be marked with "Applicable to" note. Also filtering can be used to filter only applicable notebooks.
To use one of the notebooks available in the platform, open a table and search for applicable notebooks in the Notebooks Browser. Select a notebook and use its context menu to apply it to your data.
Use simple function called "grok". Example:
grok(<table>)where table in a Pandas dataframe.
- Python (3.7)
Optionally: R, Julia and JavaScript.
Each script can be run in an isolated environment, with predefined packages configuration, same as for Script Environments. The environment can be specified in the notebook properties.
To import a notebook, just drag-and-drop the corresponding .ipynb file to the platform or use
import.
See also: