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Most popular pandas, pandas.DataFrame, numpy, and scipy functions on Github

To see examples of the top 10 most popular functions for each library check out the ipython notebook file.

You could also take a look at my blog post about it.

The figures below show the most popular functions, ordered by the number of unique repositories containing instances. For example we see that pd.Timestamp is not as often used in a project as a number of others, but if used once its likely to be found many times in the project code.