![]() ![]() Should there be any correlation between download number and usage base, the step to drop python 2 support would cut the use base by Thank you for digging up and plotting that data! What can be concluded is that dropping python 2 support deprives a majority of downloaded python versions of the option to use the newest matplotlib. The percentage of downloads of python 2 compared to overall python downloads is slowly dropping within the last 2 years from over 80% to 70%, while the percentage of matplotlib downloads for python 2 compared to all matplotlib downloads is fluctuating between 50% and 70% with no clear tendency to be seen.ĭiscussion: Unfortunately those numbers do not provide an estimate of the actual usage of matplotlib or python. Those numbers correlate well with the download numbers for other packages from the scientific python universe, like numpy and pandas. Some 35% of downloads are for the various python 3 versions. ![]() A summary of this approach can be found in this blog post, from which the respective SQL queries are adapted for the case of interest here.Īnalysis: We observe that ~60% of matplotlib downloads during the month between 5th of march and the 5th of April are made up by the version for python 2.7. Method: The data is obtained from the the-psf:pypi.downloads dataset queried via the GoogleBigQuery API. Therefore find here a visualization of download numbers from pypi. ![]() Discussion on such topic would require to be based on some more substantial grounds.
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