Bubbly is a package for plotting interactive and animated bubble charts using Plotly. The animated bubble charts can accommodate upto seven variables in total viz. X-axis, Y-axis, Z-axis, time, bubbles, their size and their color in a compact and captivating way. Bubbly is easy to use with plenty of customization, especially suited for use in Jupyter notebooks and is designed to work with plotly’s offline mode such as in Kaggle kernels.
Dependencies
Python 3.4+
numpy
pandas
plotly
Installation
pip install bubblyUsage in a Jupyter Notebook
from __future__ import division
from plotly.offline import init_notebook_mode, iplot
init_notebook_mode()
from bubbly.bubbly import bubbleplot
figure = bubbleplot(dataset=gapminder_indicators, x_column='gdpPercap', y_column='lifeExp',
bubble_column='country', time_column='year', size_column='pop', color_column='continent',
x_title="GDP per Capita", y_title="Life Expectancy", title='Gapminder Global Indicators',
x_logscale=True, scale_bubble=3, height=650)
iplot(figure, config={'scrollzoom': True})
Please refer to the Jupyter notebook here for more examples and illustration of the plotting function bubbleplot.
1 maintainer
Metadata
1 maintainer
Release files for bubbly 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| bubbly-1.0.2.tar.gz | 5.1 kB | Without provenance | Details |
Release files / bubbly-1.0.2.tar.gz
| Download URL | bubbly-1.0.2.tar.gz |
|---|---|
| Size | 5.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
58566dbb572efc2b7b413cd6b94820479d0c48d1da653e2ad52b3680f5d125d2
|
|
BLAKE2b-256 checksum How to use checksums |
d1ba78a1262f6e96c92ac5b290c5654bc4cf6b8016d0d97c604576899f571cf0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for bubbly 1.0.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
