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{ "uri": "at://did:plc:aoerrouvk5fpv3r6ah2ansjj/app.bsky.feed.like/3ld546vnhdr2f", "cid": "bafyreick54x2f6asd7547qgjjmev272vlylujgfqvxouxs5flls5jkhqn4", "value": { "$type": "app.bsky.feed.like", "subject": { "cid": "bafyreigdbe5vowhz7ikuv6kwo4aovaiao5ssfzzre7bm5y5ca2h2xqzdcy", "uri": "at://did:plc:gkciexm47dar6m4pdaylfu3r/app.bsky.feed.post/3ld4ze42wts2p" }, "createdAt": "2024-12-12T20:27:08.858Z" } }
Polars supports dynamic aggregations based on time windows via the function `group_by_dynamic`. To use it, you specify a date(time) column to group by, and then determine the windows over which values are aggregated. Note how data points can fall within multiple windows 👇
Dec 12, 2024, 7:36 PM