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        "description": "bubbly\n******************************\n\nBubbly 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. \n\nDependencies\n------------\n* Python 3.4+\n* numpy\n* pandas \n* plotly\n\nInstallation\n-------------\n.. code:: python\n\n  pip install bubbly\n  \nUsage in a Jupyter Notebook\n----------------------------\n.. code:: python\n\n  from __future__ import division\n  from plotly.offline import init_notebook_mode, iplot\n  init_notebook_mode()\n  from bubbly.bubbly import bubbleplot\n  \n  figure = bubbleplot(dataset=gapminder_indicators, x_column='gdpPercap', y_column='lifeExp', \n    bubble_column='country', time_column='year',  size_column='pop', color_column='continent', \n    x_title=\"GDP per Capita\", y_title=\"Life Expectancy\", title='Gapminder Global Indicators',\n    x_logscale=True, scale_bubble=3, height=650)\n  iplot(figure, config={'scrollzoom': True})\n\n.. image:: https://github.com/AashitaK/aashitak.github.io/blob/master/images/bubblechart.gif\n   \n   \nPlease 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``.",
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