exciting news: nfl_data_py v0.3.1 is live on pip with a variety of updates to smooth how the package operates and a new function for importing data from our friends @FTNNetwork. shout out to the folks that were 99% not me for their work getting things up and running.

If you are having trouble pulling pbp data today, try pulling without including the columns variable. A change in the participation data is causing an error when specifying columns. I will get it fixed this evening.

happy to announce that all of this data is now also available in @nfl_data_py version 0.3.0. shoutout to our good R friends for not hogging all the dank data from us you can now use: import_pbp_data([2021], include_participation=True) import_contracts() import_players()

okay 2 more hours later, @nfl_data_py 0.2.11 is live with compatibility issues resolved and fix to combine data filtering implemented going to drink a monster and then look at making the participation data available for a 0.3.0 release

this is extremely cool and the data will make its way into @nfl_data_py *eventually*

v0.2.8 of @nfl_data_py is live, just cleaning up some odds and ends

v0.2.7 of @nfl_data_py has been released, with functions pointed to a few new data locations and some bugs squished. lmk what i broke if you find anything

Alright @nfl_data_py 0.2.4 is up and running with a function for caching pbp data locally -> cache_pbp(); and an updated load_pbp_data() function for pulling data directly from that cache. Check it out and let me know if you have any trouble: pypi.org/project/nfl-data-py… #nflverse

Big @nfl_data_py update! v.0.2.0 is up with functions for pulling snap counts, depth charts, NGS stats, PFR passing stats, injury reports, and QBR. All data available via @nflfastR should now be available via python too. Here's the full list of current functions:

Still gotta update the docs (cause I do the fun stuff first) but by this weekend we’ll have: -depth charts -injury reports -NGS data -QBR -snap counts available through @nfl_data_py.

nfl_data_py 0.1.6 released today -data can now be read via pyarrow in addition to fastparquet -import_schedules() pointed at a new file with more data -clean_nfl_data() now replaces 'NA' with np.nan

Big Sur looks neat so far. also big W for @nfl_data_py being easy to use in a fresh environment on python3.9.

One short of 500 🥳🥳