Jupyter Notebooks not displaying progress bars

Question:

I’m trying to get a progress bar going in Jupyter notebooks. This is a new computer and what I normally do doesn’t seem to work:

from tqdm import tqdm_notebook
example_iter = [1,2,3,4,5]
for rec in tqdm_notebook(example_iter):
    time.sleep(.1)

Produces the following text output and doesn’t show any progress bar

HBox(children=(IntProgress(value=0, max=5), HTML(value='')))

Similarly, this code:

from ipywidgets import FloatProgress
from IPython.display import display
f = FloatProgress(min=0, max=1)
display(f)
for i in [1,2,3,4,5]:
    time.sleep(.1)

produces this text output:

FloatProgress(value=0.0, max=1.0)

Is there a setting I’m missing to get Jupyter to display these progress bars?

Asked By: J.Doe

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Answers:

The answer is in this GitHub issue.

The key is to ensure that you have the ipywidgets notebook extension enabled using the following command:

jupyter nbextension enable --py widgetsnbextension

For the old JupyterLab 2.0 you’ll also need to install the JupyterLab extension:

jupyter labextension install @jupyter-widgets/jupyterlab-manager

For the old JupyterLab 2.0 installing the JupyterLab extension with the command above requires that you have Node.js installed. The installer from the Node.js website includes npm, which is also required for the command to run properly.

When using JupyterLab 3.0, the extension will be auto-installed together with ipywidgets when you install it with pip or conda. Node.js is no longer required for JupyterLab 3.0.

Answered By: Mihai Chelaru

An important consideration here is to have node version >=10.0.0 for this to work.
To check your node version use:

node -v

Also, you may have a version of node >=10 installed, but not selected. To check the list of installed node versions, you can use the node version manager nvm using:

nvm ls

In the example below, the selected version is 9.11.2:

->      v9.11.2
        v10.4.0
        v12.5.0

In order to fix this, I will have to run:

nvm use 12.5.0

Now, I can run the two commands mentioned by @Mihai:

jupyter nbextension enable --py widgetsnbextension
jupyter labextension install @jupyter-widgets/jupyterlab-manager

It should work now after refreshing the Jupyter browser tab.

Answered By: Ali Hassaine

In case you don’t have node installed you can follow the instructions here: https://github.com/nodesource/distributions/blob/master/README.md#debinstall

curl -sL https://deb.nodesource.com/setup_15.x | bash -
apt-get install -y nodejsapt-get install -y nodejs

But sometime it is better to install via conda:

wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
chmod +x Miniconda3-latest-Linux-x86_64.sh
 ./Miniconda3-latest-Linux-x86_64.sh

And then:

conda install -c conda-forge nodejs
jupyter labextension install @jupyter-widgets/jupyterlab-manager

Reference: https://ipywidgets.readthedocs.io/en/latest/user_install.html

Answered By: Gianmario Spacagna

I found the solution provided by Bartosz Mikulski on his blog to be very simple and easy to execute: How to display a progress bar in Jupyter Notebook

import time, sys
from IPython.display import clear_output

def update_progress(progress):
    bar_length = 20
    if isinstance(progress, int):
        progress = float(progress)
    if not isinstance(progress, float):
        progress = 0
    if progress < 0:
        progress = 0
    if progress >= 1:
        progress = 1

block = int(round(bar_length * progress))

clear_output(wait = True)
    text = "Progress: [{0}] {1:.1f}%".format( "#" * block + "-" * (bar_length - block), progress * 100)
    print(text)

You can also refer to this Stack Overflow answer by ChristopheD and "3 Tips to Improving Your Data Science Workflow" on the Towards Data Science blog.

Answered By: RAVI D PARIKH

Read all of it before executing a command:

I followed all the instructions here, multiple times, nothing worked.

In my last try, I did:

Create new environment and install jupyterlab

From https://github.com/nodesource/distributions/blob/master/README.md#debinstall:

# Using Ubuntu
curl -fsSL https://deb.nodesource.com/setup_15.x | sudo -E bash -
sudo apt-get install -y nodejs

# Using Debian, as root
curl -fsSL https://deb.nodesource.com/setup_15.x | bash -
apt-get install -y nodejs

then:

conda install -c conda-forge nodejs
jupyter labextension install @jupyter-widgets/jupyterlab-manager
conda install -c conda-forge ipywidgets

Still it didnt work. Then as advised here, I did:

jupyter labextension install js

Restarted jupyter lab, tried the code:

import ipywidgets as widgets
widgets.IntSlider()

And it finally worked. So I guess what was missing was to install js through jupyter labextension.

Answered By: Felipe Mello

Quick hack, if you don’t want to solve it properly:

Run the command line version of tqdm, i.e. replace from tqdm import tqdm_notebook with from tqdm import tqdm and run for i in tqdm(range(10000)): pass.

This produced acceptable output for me.

Answered By: tyrex