You can use IPython.display.clear_output to clear the output of a cell. from IPython.display import clear_output for i in range(10): clear_output(wait=True) print(“Hello World!”) At the end of this loop you will only see one Hello World!. Without a code example it’s not easy to give you working code. Probably buffering the latest n events is a … Read more
UPDATE: The newer jupyter-lab is a more modern and feature-rich interface which supports cell folding by default. See @intsco’s answer below UPDATE 2 Since jupyter-lab now also supports extensions, you can extend the built-in cell-folding functionality with the Collapsible_Headings extension. Original answer: The jupyter contrib nbextensions Python package contains a code-folding extension that can be … Read more
The idea here is to install multiple ipython kernels. Here are instructions for anaconda. If you are not using anaconda, I recently added instructions using pure virtualenvs. Anaconda >= 4.1.0 Since version 4.1.0, anaconda includes a special package nb_conda_kernels that detects conda environments with notebook kernels and automatically registers them. This makes using a new … Read more
Set display.max_rows: pd.set_option(‘display.max_rows’, 500) For older versions of pandas (<=0.11.0) you need to change both display.height and display.max_rows. pd.set_option(‘display.height’, 500) pd.set_option(‘display.max_rows’, 500) See also pd.describe_option(‘display’). You can set an option only temporarily for this one time like this: from IPython.display import display with pd.option_context(‘display.max_rows’, 100, ‘display.max_columns’, 10): display(df) #need display to show the dataframe when … Read more
You’ll need to use the HTML() or display() functions from IPython’s display module: from IPython.display import display, HTML # Assuming that dataframes df1 and df2 are already defined: print “Dataframe 1:” display(df1) print “Dataframe 2:” display(HTML(df2.to_html())) Note that if you just print df1.to_html() you’ll get the raw, unrendered HTML. You can also import from IPython.core.display … Read more
This worked for me on Ubuntu 16.04: python2 -m pip install ipykernel python2 -m ipykernel install –user python3 -m pip install ipykernel python3 -m ipykernel install –user Reference to the documentation: Kernels for Python 2 and 3. Installing the IPython kernel – IPython Docs.
If you don’t want to output a Python script every time you save, or you don’t want to restart the IPython kernel: On the command line, you can use nbconvert: $ jupyter nbconvert –to script [YOUR_NOTEBOOK].ipynb As a bit of a hack, you can even call the above command in an IPython notebook by pre-pending … Read more