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I found similar questions but none relate to my issue in MacOS

Showing all possible methods on Jupyter notebook

how to show all methods that i can choose in ipython notebook?

Many people didn't find those answers useful in MacOS as you can see in the comments.

enter image description here

I'm trying to use . + tab to display all the possible methods any initialized object in Jupyter notebook like this:

(example image of a list object for context)

example image of a list object for context

and none will show up. But in memory variables can be shown.

I'm launching Jupyter Notebook from my MacOS terminal from a virtual environment with the following versions

jupyter==1.0.0 jupyter-client==5.3.1 jupyter-console==6.0.0 jupyter-core==4.5.0

How can I configure Jupyter Notebook in order to show all possible methods when I use tab?

UPDATE

  • Upgraded to notebook==6.0.1 and still doesn't work
  • In the same environment, ipython displays methods when using tab
  • %config IPCompleter.greedy=True was set and still doesn't work
  • pyreadline installed still doesn't work
  • it worked with lists but with a pandas empty data frame df. + tab wont display possible methods neither with an Axessubplot object.
  • This issue was replicated in a linux distro and the notebook hangs in kernel busy by using one thread by 100% until it finally displays the possible methods. In MacOs it doesn't hang in 'kernel busy' and won't display anything only when you add a hint (like df.h + tab will show head and hist)
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  • You have initialized a, right? Commented Aug 30, 2019 at 14:34
  • Yes, the object I'm 'tabing' is initialized already Commented Aug 30, 2019 at 14:50

2 Answers 2

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I found that this issue was discussed here Autocomplete not working

You should downgrade your ipython version to 6.2.1 by running in your virtual environment:

pip install ipython==6.2.1

and then restart the jupyter notebook. Now it should display the methods of any object including pandas and seaborn ones like this

enter image description here

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9 Comments

! jupyter notebook --version: 5.7.8 and it's not working by replicating your example with time library. I will try to downgrade my Jupyter notebook version and update my comment. Thanks
Downgraded to 5.7.4 with tornado 4.2.0 and it didn't work neither
Yes. I have installed pyreadline and also added %config IPCompleter.greedy=True And still doesn't work
Now it works with lists but not with an empty dataframe of pandas or axesublplot of seaborn, neither in ipython nor jupyter
@GonzaloGarcia Glad to hear that, you can edit my answer or you can give your own answer.
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I have Jupyter notebook on Ubuntu Server running with Python3

Here what helped in my case:

Infastructure update

  1. I had fresh install, so update pip3 package

    python3 -m pip install --upgrade pip

  2. See if there are any outdated packages

    python3 -m pip list --outdated --format=freeze

  3. If there are any (which is highly possible) use this to update everything

    python3 -m pip list --outdated --format=freeze | grep -v '^-e' | cut -d = -f 1 | xargs -n1 python3 -m pip install -U

  4. In my case I've also installed python3-cairo-dev

Core programming rules

Also it is important to remember, that you better have item defined first. Like

myAwesomeList = [] myAwesomeList.<- here we press "Tab"
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