If what you want is to remove the numbers themselves, so that each cell shows In [ ] (instead of something like In [247] which is leftover from some previous incarnation of the kernel), use "Cell" > "All Output" > "Clear" (in Jupyter Notebook 5.4.0) or "Edit" > "Clear All Outputs" (In Jupyter Lab 0.32.1).
Step 2 — Create a Python Virtual Environment for Jupyter. Now that we have Python 3, its header files, and pip ready to go, we can create a Python virtual environment to manage our projects. We will install Jupyter into this virtual environment. To do this, we first need access to the virtualenv command which we can install with pip.
See the jupyter autoscroll extension (part of jupyter_contrib_nbextensions), which allows you to select when the output starts scrolling in a dropdown menu (you can set it to never scroll). The API used is not officially supported though, so this may break at any time.
Controlling figure height when using interactive plots in jupyter lab 2 Plotly: Panning 3D figure programmatically in jupyter notebook
In Jupyter notebook you can click on the white area under Out[XX]: to collapse the output: In my opinion, Jupyter Lab has two issues here: To collapse the output one has to click on the blue line on the left of the output cell ("harder" to click there than it is in the notebook, because of the smaller surface area).
Once you’re in the new fresh Notebook, you will need to enable the slideshow. For doing this, follow the following steps given below: 1. Click on the “View” tab in the Jupyter Notebook. 2. A dropdown menu will appear. Hover and select over the “Cell Toolbar” option. 3. Another dropdown appears.
3gcX9G. 42 126 251 286 486 394 39 478 121
jupyter notebook show all output without scroll
