Jupyter Notebook is a friendly Python editor for all levels — beginners and experienced Python users would like to use it from time to time or almost every day. For me, I like to use PyCharm when I script for utility modules. However, when I deal with data, I like to use Jupyter Notebook.
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.
There will be no output for the first cell displayed (as it'll be captured). output becomes available only in the following cell. It is a utils.io.CapturedIO object, so you can stringify it, or even call .show() on it, which will display its contents. For more information, e.g. capturing just stdout, or just stderr use the reference.
In Jupyter notebook, can the "enable scrolling" window auto-scroll down to keep up pace with the output? 2 Using the arrow key in a Jupyter keyboard shortcut
The addition of pd.set_option('display.max_columns', 500) does not work with pandas styling.. You would need to add css block containing overflow: autoand adjust width width: 500px as per requirement.
3. If I have a long output cell in a jupyter notebook, for example for the following code, it's possible to activate the scroll on it: for ii in range (40): print (f"this is output line {ii}") I'm also rendering the notebook with Sphinx for a documentation, but it doesn't include the scroll bar for the output cell.