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Display data in an attractive way

Project description

Bloxs

Bloxs is a simple python package that helps you display information in an attractive way (formed in blocks). Perfect for building dashboards, reports and apps in the notebook.

It works with: Jupyter Notebook, Google Colab, Deepnote, Kaggle Notebook, Mercury.

Get started

Install bloxs:

pip install bloxs

Import and create a bloxs:

from bloxs import B
B(1234, "Bloxs in notebook!")

Exmaples

Bloxs Code
B(1234, "Bloxs in notebook!")
B(1999, "Percent change!", percent_change=10)
B("🎉🎉🎉", "Works with emojis")
B("68%", "Loading progress", progress=68)
B("68%", "Loading progress", progress=68, color="green") color can be "blue", "red", "green" or custom in hex format (exmaple "#fa33fa")
B("123", "Display line chart", points=[1,4,2,3,5,6])
B("123", "Display line chart", points=[1,4,2,3,5,6], color="red")
B("123", "Display stepped chart", points=[1,4,2,3,5,6], chart_type="stepped")
B("123", "Display bar chart", points=[1,4,2,3,5,6], chart_type="bar")
B("123", "Display bar chart", points=[1,4,2,3,5,6], chart_type="bar", color="green")

You can combine several bloxs in one row:

B([
    B(1999, "Percent change!", percent_change=10),
    B("🎉🎉🎉", "Works with emojis"),
    B("68%", "Loading progress", progress=68),
    B(1234, "Bloxs in notebook!")
])

B([
    B("786", "Display bar chart", points=[1,4,2,3,5,6], chart_type="bar", color="green"),
    B("123", "Display line chart", points=[1,4,2,3,5,6], color="red"),
    B("123", "Display stepped chart", points=[1,4,2,3,5,6], chart_type="stepped")
])

:computer: You can check the notebook with above example bloxs.

Bloxs works great with Mercury

Mercury is a framework for converting notebook to an interactive web app. It adds widgets to the notebook based on the YAML config. Below is presented a notebook with bloxs and the same notebook served as a web app with Mercury.

The notebook with bloxs

The Mercury web app

The web app is available on our server :computer:

Project details


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bloxs-1.0.2.tar.gz (76.2 kB view hashes)

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