Motion Chart

<a href="http://www.youtube.com/watch?feature=player_embedded&v=JkpbY08swyA" target="_blank"><img src="http://img.youtube.com/vi/JkpbY08swyA/0.jpg" alt="Show video" width="720" height="480" border="10" /></a> <BR><BR> (Click on the picture to see the video) <BR><BR> Easily create an interactive motion chart from a Pandas Dataframe in Python. Publish the chart to a standalone webpage, show it in Jupyter notebook or save it as a html file <BR><BR>

1. Install<BR> pip install motionchart <BR><BR> 2. Import<BR> from motionchart.motionchart import MotionChart, MotionChartDemo<BR> <BR> 3. Test<BR> MotionChartDemo()<BR> <BR> 4. Define your own motion chart using the columns in a pandas dataframe<BR> Example: You have a dataframe called fruitdf and want to create a motionchart:<BR> <BR> mChart = MotionChart(df = fruitdf) <BR><BR> 5. Display the Motion Chart<BR> mChart.to_browser()<BR> or, if using Jupyter notebook<BR> mChart.to_notebook() <BR><BR> see http://socr.ucla.edu/htmls/HTML5/MotionChart/ for a live example <BR><BR> See the file "motion chart notebook" (in the notebooks folder above) for more examples and detailed instructions <BR><BR> This is an early version, use at your own risk, the API may change Note that the html file producing the (last) chart you show is saved in a file ("smc_temp.html" and in some cases "temp.html"). New files will overwrite old files. <BR><BR> See https://github.com/RamyElkest/SocrMotionChartsHTML5 for more information about the javascript that builds the chart<BR> See also https://github.com/psychemedia/dataviz4development/tree/master/SocrMotionCharts