All Projects → AashitaK → Bubbly

AashitaK / Bubbly

Licence: mit
A python package for plotting animated and interactive bubble charts using Plotly

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Bubbly

Tablesaw
Java dataframe and visualization library
Stars: ✭ 2,785 (+7427.03%)
Mutual labels:  data-science, data-visualization, plotting, plotly
Dash Oil And Gas Demo
Dash Demo App - New York Oil and Gas
Stars: ✭ 156 (+321.62%)
Mutual labels:  data-science, data-visualization, plotly
Py Quantmod
Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/
Stars: ✭ 155 (+318.92%)
Mutual labels:  data-science, data-visualization, plotly
Dash
Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.
Stars: ✭ 15,592 (+42040.54%)
Mutual labels:  data-science, data-visualization, plotly
Dash Stock Tickers Demo App
Dash Demo App - Stock Tickers
Stars: ✭ 108 (+191.89%)
Mutual labels:  data-science, data-visualization, plotly
Plotly Graphing Library For Matlab
Plotly Graphing Library for MATLAB®
Stars: ✭ 234 (+532.43%)
Mutual labels:  data-science, data-visualization, plotly
Dash Docs
📖 The Official Dash Userguide & Documentation
Stars: ✭ 338 (+813.51%)
Mutual labels:  data-science, data-visualization, plotly
Cryptocurrency Analysis Python
Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data
Stars: ✭ 278 (+651.35%)
Mutual labels:  data-science, data-visualization, plotly
Dash.jl
Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.
Stars: ✭ 248 (+570.27%)
Mutual labels:  data-science, data-visualization, plotly
Orange3
🍊 📊 💡 Orange: Interactive data analysis
Stars: ✭ 3,152 (+8418.92%)
Mutual labels:  data-science, data-visualization, plotting
Dashr
Dash for R - An R interface to the Dash ecosystem for creating analytic web applications
Stars: ✭ 337 (+810.81%)
Mutual labels:  data-science, data-visualization, plotly
Dash Table
A First-Class Interactive DataTable for Dash
Stars: ✭ 382 (+932.43%)
Mutual labels:  data-science, data-visualization, plotly
Ggthemr
Themes for ggplot2.
Stars: ✭ 697 (+1783.78%)
Mutual labels:  data-visualization, plotting
Roughviz
Reusable JavaScript library for creating sketchy/hand-drawn styled charts in the browser.
Stars: ✭ 6,022 (+16175.68%)
Mutual labels:  data-science, data-visualization
React Plotly.js
A plotly.js React component from Plotly 📈
Stars: ✭ 701 (+1794.59%)
Mutual labels:  data-visualization, plotly
Bowtie
Create a dashboard with python!
Stars: ✭ 724 (+1856.76%)
Mutual labels:  data-science, plotly
Plotly express
Plotly Express - Simple syntax for complex charts. Now integrated into plotly.py!
Stars: ✭ 633 (+1610.81%)
Mutual labels:  data-visualization, plotly
Cookbook 2nd
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Stars: ✭ 704 (+1802.7%)
Mutual labels:  data-science, data-visualization
Dataconfs
A list of conferences connected with data worldwide.
Stars: ✭ 36 (-2.7%)
Mutual labels:  data-science, data-visualization
Scottplot
Interactive Plotting Library for .NET
Stars: ✭ 736 (+1889.19%)
Mutual labels:  data-visualization, plotting

bubbly


Bubbly is a package for plotting interactive and animated bubble charts using Plotly. The animated bubble charts can accommodate up to seven variables 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

.. code:: python

pip install bubbly

Usage in a Jupyter Notebook

.. code:: python

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})

.. image:: https://github.com/AashitaK/aashitak.github.io/blob/master/images/bubblechart.gif

Please refer to the Jupyter notebook here <https://www.kaggle.com/aashita/guide-to-animated-bubble-charts-using-plotly/>_ for more examples and illustration of the plotting function bubbleplot.

Note: I am looking for someone to be the maintainer of this package. If you are interested, please contact me.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].