Python’s One Liner graph creation library with animations Hans Rosling Style

I distinctly remember the time when Seaborn came. I was really so fed up with Matplotlib. To create even simple graphs I had to run through so many StackOverflow threads.

The time I could have spent in thinking good ideas for presenting my data was being spent in handling Matplotlib. And it was frustrating.

Seaborn is much better than Matplotlib, yet it also demands a lot of code for a simple “good looking” graph.

When Plotly came it tried to solve that problem. And when added with Pandas, plotly is a great tool.

Just using the iplot function, you can do so much with Plotly.

But still, it is not very intuitive. At least not for me.

I still didn’t switch to Plotly just because I had spent enough time with Seaborn to do things “quickly” enough and I didn’t want to spend any more time learning a new visualization library. I had created my own functions in Seaborn to create the visualizations I most needed. Yet it was still a workaround. I had given up hope of having anything better.

Comes Plotl…