How to get autocomplete in jupyter notebook without using tab?

PythonJupyter Notebook

Python Problem Overview


I would like to get an autocompletion feature in notebooks i.e. when I type something, a dropdown menu appears, with all the possible things I might type, without having to press the tab button. Is there such a thing?

I tried :

> %config IPCompleter.greedy=True

but this requires the tab button to be pressed

Python Solutions


Solution 1 - Python

There is an extension called Hinterland for jupyter, which automatically displays the drop down menu when typing. There are also some other useful extensions.

In order to install extensions, you can follow the guide on this github repo. To easily activate extensions, you may want to use the extensions configurator.

Solution 2 - Python

The auto-completion with Jupyter Notebook is so weak, even with hinterland extension. Thanks for the idea of deep-learning-based code auto-completion. I developed a Jupyter Notebook Extension based on TabNine which provides code auto-completion based on Deep Learning. Here's the Github link of my work: jupyter-tabnine.

It's available on pypi index now. Simply issue following commands, then enjoy it:)

pip3 install jupyter-tabnine
jupyter nbextension install --py jupyter_tabnine
jupyter nbextension enable --py jupyter_tabnine
jupyter serverextension enable --py jupyter_tabnine

demo

Solution 3 - Python

I would suggest hinterland extension.

In other answers I couldn't find the method for how to install it from pip, so this is how you install it.

First, install jupyter contrib nbextensions by running

pip install jupyter_contrib_nbextensions

Next install js and css file for jupyter by running

jupyter contrib nbextension install --user

and at the end run,

jupyter nbextension enable hinterland/hinterland

The output of last command will be

Enabling notebook extension hinterland/hinterland...
      - Validating: OK

Solution 4 - Python

As mentioned by @physicsGuy above, You can use the hinterland extension. Simple steps to do it.

Installing nbextension using conda forge channel. Simply run the below command in conda terminal:

conda install -c conda-forge jupyter_nbextensions_configurator

Next Step enabling the hinterland extension. Run the below command in conda terminal:

jupyter nbextension enable hinterland/hinterland

That's it, done.

Solution 5 - Python

I am using Jupiter Notebook 5.6.0. Here, to get autosuggestion I am just hitting Tab key after entering at least one character.

 **Example:** Enter character `p` and hit Tab.

To get the methods and properties inside the imported library use same Tab key with Alice

  import numpy as np

  np. --> Hit Tab key

Solution 6 - Python

Without doing this %config IPCompleter.greedy=True after you import a package like numpy or pandas in this way; import numpy as np import pandas as pd.

Then you type in pd. then tap the tab button it brings out all the possible methods to use very easy and straight forward.

Solution 7 - Python

Add the below to your keyboard user preferences on jupyter lab (Settings->Advanced system editor)

{
    "shortcuts":[
        {
            "command": "completer:invoke-file",
            "keys": [
                "Ctrl Space"
            ],
            "selector": ".jp-FileEditor .jp-mod-completer-enabled"
        },
        {
            "command": "completer:invoke-file",
            "keys": [
                "Ctrl Space"
            ],
            "selector": ".jp-FileEditor .jp-mod-completer-enabled"
        },
        {
            "command": "completer:invoke-notebook",
            "keys": [
                "Ctrl Space"
            ],
            "selector": ".jp-Notebook.jp-mod-editMode .jp-mod-completer-enabled"
        }

    ]
}

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Content TypeOriginal AuthorOriginal Content on Stackoverflow
Questionphysicsnoob1000View Question on Stackoverflow
Solution 1 - PythonphysicsGuyView Answer on Stackoverflow
Solution 2 - PythonWenmin WuView Answer on Stackoverflow
Solution 3 - PythonKhushal sharmaView Answer on Stackoverflow
Solution 4 - PythonSanchit KumarView Answer on Stackoverflow
Solution 5 - PythonHearamanView Answer on Stackoverflow
Solution 6 - PythonMicah TimileyinView Answer on Stackoverflow
Solution 7 - PythonPravinkumarView Answer on Stackoverflow