When any data frames are built, you can preview them in the tabular form. Select the Invert images in dark themes checkbox on the Jupyter page in the project Settings/Preferences ( Ctrl+Alt+S) and restart the editor to apply the changes.
You can invert the plotted image for better readability.
#JUPYTER NOTEBOOK ONLINE CALL TEXT FILE CODE#
If your notebook cell involves any code that plots charts, you can save the chart as an image: right-click the output and select Save As from the context menu. You can save the results or clear the output. Once you’ve executed the cell, its output is shown below the code.
To enable this option, select Show inline values in the editor in project Settings/Preferences | Jupyter. Note that variable assignments are not shown. In addition to previewing values of the variables in the Variables tab, you can watch the values of the variable usages in the editor. You can click the link to the right of the variable to preview its values in the tabular form. See Managing Variables Loading Policy for more details. To change the loading policy, click in the Variables tab, select Variables Loading Policy, and select one of the available modes. When you execute your notebook, you can preview variables in the Variables tab of the Jupyter tool window.īy default, variables are loaded asynchronously. This functionality is available only for local Jupyter server kernels. When you stop the server and change the server or kernel, you have to execute all cells with dependencies again, because execution results are valid for the current server session only. To execute all code cells in your notebook, click on the notebook toolbar or press Ctrl + Shift + Alt + Enter. In case of any errors, expand the Traceback node to preview the complete error message. If a cell relies on some code in another cell, that cell should be executed first. When executing one cell at a time, mind code dependencies. Shift+Enter: Runs the current cell and select the cell below it.
Use the following smart shortcuts to quickly run the code cells: Note that when you work with local notebooks, you don’t need to launch any Jupyter server in advance: just execute any cell and the server will be launched. You can execute the code of the notebook cells in many ways using the icons on the notebook toolbar and cell toolbars, commands of the code cell context menu (right-click the code cell to open it), and the Run commands of the main menu. Run and debug Jupyter notebook code cells