Show HN: ipyvizzu – open-source animated charts in Jupyter Notebooks
source link: https://github.com/vizzuhq/ipyvizzu
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ipyvizzu - Jupyter notebook integration of Vizzu.
Tutorial · Examples · Repository
About The Project
ipyvizzu is the Jupyter Notebook integration of Vizzu. ipyvizzu enables data scientists and analysts to utilize animation for storytelling with data using Python.
Similar to Vizzu, which is a free, open-source Javascript/C++ library, ipyvizzu also utilizes a generic dataviz engine that generates many types of charts and seamlessly animates between them. It is designed for building animated data stories as it enables showing different perspectives of the data that the viewers can easily follow.
Main features:
- Designed with animation in focus;
- Defaults based on data visualization guidelines;
- Works with Pandas dataframe, also JSON and inline data input is available;
- Auto scrolling to keep the actual chart in position while executing multiple cells.
Installation
ipyvizzu requires IPython
and NumPy
packages.
However you can use it only in Jupyter Notebook therefore notebook
project has to be installed.
pip install ipyvizzu pip install notebook
You can also use ipyvizzu by locally installing Vizzu, you can find more info about this in the documentation
Usage
ipyvizzu only works in Jupiter Notebook environment. A notebook cell may contain the following code snippet resulting in the animation below.
import pandas as pd from ipyvizzu import Chart, Data, Config, Style data_frame = pd.read_csv('./titanic.csv') data = Data() data.add_data_frame(data_frame) chart = Chart(width="640px", height="360px") chart.animate(data) chart.animate(Config({"x": "Count", "y": "Sex", "label": "Count","title":"Passengers of the Titanic"})) chart.animate(Config({"x": ["Count","Survived"], "label": ["Count","Survived"], "color": "Survived"})) chart.animate(Config({"x": "Count", "y": ["Sex","Survived"]}))
Visit our documentation site for more details and a step-by-step tutorial into ipyvizzu, or check out the example gallery.
Contributing
We welcome contributions to the project, visit our contributing guide for further info.
Contact
- Join our Slack if you have any questions or comments: vizzu-community.slack.com
- Drop us a line at [email protected]
- Follow us on twitter: https://twitter.com/VizzuHQ
License
Copyright © 2022 Vizzu Kft..
Released under the Apache 2.0 License.
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