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Interactive data exploration with Altair

Altair Widgets Note: Altair-widgets is experimental and not well supported. Use with care. Altair Widgets are a tool to easily allow to interact with Altair charts in the Jupyter notebook. This tool allows interactive explo
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Category: Python / Image Processing
Watchers: 9
Star: 105
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Last update: Jul 5, 2022
Resource links
https://github.com/altair-viz/altair_widgets

Altair Widgets

Note: Altair-widgets is experimental and not well supported. Use with care.

Altair Widgets are a tool to easily allow to interact with Altair charts in the Jupyter notebook.

This tool allows interactive exploration:

This library depends on Altair which relies on Vega-Lite for rendering charts. On Vega's homepage they list some other interactive toolkits. One of these is Voyager which has an online app that can be used with any CSV data.

Install

With conda:

$ conda install -c conda-forge ipywidgets
$ conda install -c conda-forge altair
$ pip install altair_widgets

With pip:

$ pip install altair_widgets
$ jupyter nbextension enable --py --sys-prefix widgetsnbextension
$ jupyter nbextension enable --py --sys-prefix vega

altair_widgets will not work with Google Colab as Colab does not support ipywidgets. To track ipywidgets support on Google Colab, see https://github.com/googlecolab/colabtools/issues/60.

5 Open More issues
Closed

Able to work on colab almost effectively except some functionalities

I have updated the widget.py file and based on my modifications, the altair_widgets are running on colab and plus I was able to run a demo colab notebook in which I have shown the working of the altair_widgets with a local customized package based on this pull request widget.py.Demo Colab Link

opened Oct 26, 2020 by alihussainia 7
Closed

Does not work with ipywidgets 7.4.0 and altair 2.2.2

When running

interact_with(iris)

I get the following output

TypeError                                 Traceback (most recent call last)
<ipython-input-1-1ad553e9f0bc> in <module>()
      8 
      9 from altair_widgets import interact_with
---> 10 interact_with(iris)

~/code/perso/notebooks/data-science-exercises/venv/lib/python3.7/site-packages/altair_widgets/widget.py in interact_with(df, ndims, **kwargs)
     26 
     27     """
---> 28     return Interact(df, ndims=ndims, **kwargs)
     29 
     30 

~/code/perso/notebooks/data-science-exercises/venv/lib/python3.7/site-packages/altair_widgets/widget.py in __init__(self, df, ndims, show)
     56             display(self.controller)
     57 
---> 58         self.plot(show=show)
     59 
     60     def _show_advanced(self, button, disable=1):

~/code/perso/notebooks/data-science-exercises/venv/lib/python3.7/site-packages/altair_widgets/widget.py in plot(self, show)
    168         mark = mark_opts.pop('mark')
    169         Chart_mark = getattr(altair.Chart(self.df), mark)
--> 170         self.chart = Chart_mark(**mark_opts).encode(**kwargs)
    171         if show and self.show:
    172             clear_output()

~/code/perso/notebooks/data-science-exercises/venv/lib/python3.7/site-packages/altair/vegalite/v2/api.py in encode(self, *args, **kwargs)
   1238                 if condition is not Undefined:
   1239                     obj['condition'] = _wrap_in_channel_class(condition, prop)
-> 1240             kwargs[prop] = _wrap_in_channel_class(obj, prop)
   1241 
   1242 

~/code/perso/notebooks/data-science-exercises/venv/lib/python3.7/site-packages/altair/vegalite/v2/api.py in _wrap_in_channel_class(obj, prop)
   1214                 return [_wrap_in_channel_class(subobj, prop) for subobj in obj]
   1215 
-> 1216             if 'value' in obj:
   1217                 clsname += 'Value'
   1218 

TypeError: argument of type 'NoneType' is not iterable

If I then click on the button "Options", I get additional errors:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
~/code/perso/notebooks/data-science-exercises/venv/lib/python3.7/site-packages/altair_widgets/widget.py in _show_advanced(self, button, disable)
     84             c.observe(self._update, names='value')
     85 
---> 86         visible = self.controller.children[row].children[-1].visible
     87         self.controller.children[row].children[disable].disabled = not visible
     88         self.controller.children[row].children[-1].visible = not visible

AttributeError: 'VBox' object has no attribute 'visible'
opened Aug 17, 2018 by chmduquesne 6
Closed

TypeError: argument of type 'NoneType' is not iterable

I copied exactly the example, but it's not working. Error thrown is TypeError: argument of type 'NoneType' is not iterable

opened Sep 18, 2019 by ghost 4
Closed

Altair Widgets in Colab

Hi. I'm trying to use altair widgets in google colab with altair v1.0, but I don't know which command to use to make the interaction appear in screen. Thank you! altair

opened Dec 18, 2018 by caetanopires 4
Closed

Instead of using a hard-coded list, pull the channels from altair API

In order to avoid that a change in the altair API makes this project outdated, I suggest pulling the channel encoding from altair directly.

opened Aug 18, 2018 by chmduquesne 4
Closed

altair_widgets doesn’t work under altair 1.2 and ipywidgets 7.0

When I launch altair_widgets (I tried the iris example posted here on github) I get the following error: "TraitError: The 'x' trait of an Encoding instance must be a X, but a value of class 'NoneType' (i.e. None) was specified."

If I select an x encoding I get the same message for y and then for colour.After selecting 3 encodings, I get a visualization, but then I cannot modify anything anymore.

Any ideas? Many thanks!

opened Nov 20, 2017 by SPW1981 3
Open

Advanced options are disabled

The options button is disabled:

This has some practical effects – for example, setting an axis to type=log can't be done.

good-first-issue 
opened Feb 28, 2019 by stsievert 0
Open

Showing a new plot takes a long time

On my machine, updating takes 2.4 seconds. This happens anytime a button is pressed. This is really annoying.

opened Feb 28, 2019 by stsievert 2
Open

Create interface to select initial columns to display

via interact_with(df, initial: list[Union(str, dict)]). Each element in initial can either be a str representing the column name or a dict representing the settings.

opened Sep 28, 2017 by stsievert 0
Open

Use a MVC framework

This is a simplification, and will allow easier testing.

opened Jul 10, 2017 by stsievert 0
Open

Provide an interface to select columns of a certain values

i.e., have a tool that integrates with df[df.field == value].

opened Apr 6, 2017 by stsievert 1

v0.1.2(Jul 15, 2017)

Contents

    altair-viz Declarative statistical visualization library for Python
    Zsailer Draw interactive NetworkX graphs with Altair
    wrobstory A Python to Vega translator
    facebookresearch An Exploration of Embodied Visual Exploration
    ma77os An exploration of an animated interactive landscape built with three.js.
    lux-org Lux is a Python library that makes data science easier by automating aspects of the data exploration process
    jsa-aerial Data exploration and interactive documents; with editor support (emacs, vim, sublime, and paredit)
    HKUST-Aerial-Robotics Fast UAV Exploration using Incremental Frontier Structure and Hierarchical Planning
    sensepost 📱 objection - runtime mobile exploration
    davidguttman React-Pivot is a data-grid component with pivot-table-like functionality for data display, filtering, and exploration.
    apache Apache Superset is a Data Visualization and Data Exploration Platform
    SebastianBoldt 🌊 - Jelly is a library for animated, non-interactive & interactive viewcontroller transitions and presentations with the focus on a simple and yet flexible API.
    allisonhorst A great intro dataset for data exploration & visualization (alternative to iris).
    rocketlaunchr DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
    PyMLVizard Interactive machine learning algorithm visualisation using Python Jupyter notebooks
    procyon-rs vega_lite_3 - rust api for vega-lite v3
    pbiecek Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020
    VIDA-NYU AutoML Pipeline exploration tool compatible with Jupyter Notebooks.
    giraffQL Interactive GraphQL exploration tool built with React - still working on the website
    aqibsaeed CNN architecture exploration using Genetic Algorithm
    abhayspawar Feature exploration for supervised learning
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