Existing HN: ipyvizzu – launch-source though-provoking charts in Jupyter Notebooks

ipyvizzu – Jupyter pocket guide integration of Vizzu.

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ipyvizzu is the Jupyter Notebook integration of Vizzu. ipyvizzu permits facts scientists and analysts to employ animation for storytelling with facts the usage of Python.

Same to Vizzu, which is a free, launch-source Javascript/C++ library, ipyvizzu also makes use of a generic dataviz engine that generates many kinds of charts and seamlessly animates between them. It’s designed for constructing though-provoking facts stories as it permits exhibiting assorted perspectives of the ideas that the viewers can without concerns command.

Major aspects:

• Designed with animation in focal level;
• Defaults fixed with facts visualization pointers;
• Works with Pandas dataframe, also JSON and inline facts enter is accessible;
• Auto scrolling to place the actual chart in build whereas executing plenty of cells.

ipyvizzu requires IPython and NumPy packages.
However you shall be ready to use it simplest in Jupyter Notebook attributable to this truth pocket guide venture has to be installed.

pip set up ipyvizzu
pip set up pocket guide

You’d also furthermore use ipyvizzu by in the community placing in Vizzu, that that you just might well to find more facts about this in the documentation

ipyvizzu simplest works in Jupiter Notebook environment.
A pocket guide cell might well per chance well also objective have the next code snippet main to the animation below.

import pandas as pd
from ipyvizzu import Chart, Records, Config, Sort

data_frame = pd.read_csv('./titanic.csv')
facts = Records()
facts.add_data_frame(data_frame)

chart = Chart(width="640px", top="360px")

chart.animate(facts)

chart.animate(Config({"x": "Depend", "y": "Intercourse", "mark": "Depend","title": "Passengers of the Gigantic"}))
chart.animate(Config({"x": ["Count","Survived"], "mark": ["Count","Survived"], "color": "Survived"}))
chart.animate(Config({"x": "Depend", "y": ["Sex","Survived"]}))

Gallop to our documentation build for more facts and a step-by-step tutorial into ipyvizzu,
or are trying the instance gallery.

We welcome contributions to the venture, search the advice of with our contributing facts for additional facts.

• Join our Slack in case you private any questions or comments: vizzu-group.slack.com
• Drop us a line at hi there@vizzuhq.com
• Practice us on twitter: https://twitter.com/VizzuHQ

Copyright © 2022 Vizzu Kft..

Released under the Apache 2.0 License.