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.

• Python 3.4+
• numpy
• pandas
• plotly

pip install bubbly

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.