How to run a single line or selected code in a Jupyter Notebook or JupyterLab cell?

Updated answer

As there have been a few updates of JupyterLab since my first answer (I'm now on 1.1.4), and it has been stated that JupyterLab 1.0 will eventually replace the classic Jupyter Notebook, here's what I think is the best approach right now and even more so in the time to come:

In JupyterLab use Run > Run selected line or highlighted text with an assigned keyboard shortcut to run code in the console.

Here's how it will look like when you run the three print statements line by line using a keyboard shortcut:

Here's how you set up a shortcut in Settings > Advanced Settings > Keyboard shortcuts:

And here's what you need to add under Settings > Keyboard Shortcuts > User preferences > :

{    // List of Keyboard Shortcuts    "shortcuts": [        {            "command": "notebook:run-in-console",            "keys": [                "F9"            ],            "selector": ".jp-Notebook.jp-mod-editMode"        },    ]}

The shortcut will even show in the menu. I've chosen to use F9

Original answer for older versions:

Short answer:

Jupyter notebook:

1. qtconsole
2. scratchpad

JupyterLab:

1. qtconsole
2. Run > Run Selected Text or Current Line in Console, optionally with a keyboard shortcut

Have a look at the details below, as well as some special cases in an edit at the very end of the answer.

The details:

Jupyter Notebook option 1: qtconsole

The arguably most flexible alternative to inserting new cell is to open an IPython console using the magic function

%qtconsole

For a bit more fancy console you can use

%qtconsole --style vim

The results of the lines executed in this console will also be available to the Jupyter Notebook since it's still the same kernel that's running. One drawback is that you'll have to copy&paste or type the desired lines into the console.

[

Jupyter Notebook option 2: Scratchpad Notebook Extension

With a successful installation you can launch a Scratchpad with ctrl + B:

JupyterLab option 1: %qtconsole

Works the same way as for a Notebook

JupyterLab option 2: Run > Run Selected Text or Current Line in Console

A similar option to a qtconsole, but arguably more elegant, has been built in for newer versions of JupyterLab. Now you canput your marker on a single line, or highlight a selection, and use the menu option Run > Run Selected Text or Current Line in Console:

You're still going to get your results in an IPython console, but you don't have to add an extra line with %qtconsole and it's much easier to run a selection of lines within a cell:

You can make things even easier by assigning a keyboard shortcutto the menu option Run > Run Selected Text or Current Line in Console like this:

1 - Go to Settings and select Advanced Settings editor:

2 - Under the Keyboard shortcuts tab, do a ctrl+F search for run-in-console to locate the following section:

// [missing schema title]    // [missing schema description]    "notebook:run-in-console": {      "command": "notebook:run-in-console",      "keys": [        ""      ],      "selector": ".jp-Notebook.jp-mod-editMode",      "title": "Run In Console",      "category": "Notebook Cell Operations"    }

3 - Copy that part and paste it under User Overrides and type in your desired shortcut below keys like so:

[...]"keys": [  "F9"],[...]

4 - Click Save All under File.

5 - If the process went smoothly, you'll see that your menu option has changed:

6 - You may have to restart JupyterLab, but now you can easily run a single line or selection of lines with your desired shortcut.

##EDIT: Special cases

Your preferred approach will depend on the nature of the output of the lines in question. Below is an example with plotly. More examples will possibly be added with time.

1. - plotly

plotly figures will not be displayed directly in a Jupyter QtConsole (possibly related to this), but both the Scratchpad in a Jupyter Notebook and the integrated console in Jupyterlab using Run > Run Selected Text or Current Line in Console will handle plotly figures just fine.

Snippet:

from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplotimport plotly.graph_objs as goinit_notebook_mode(connected=True)trace0 = go.Scatter(    x=[1, 2, 3, 4],    y=[10, 15, 13, 17])fig = go.Figure([trace0])iplot(fig)

1.1 - plotly with scratchpad

1.2 - plotly with JupyterLab console using highlighted line and keyboard shortcut: