vincev
commented
1 year ago As it is now there is only a dt function to convert date strings to datetime:
dply -c 'json("./buildtimesnd.json") |
mutate(date=dt(date))|
group_by(commit) |
summarize(min_date = min(date), max_date = max(date)) |
mutate(date_diffs=max_date-min_date)|
head(3)'
shape: (3, 4) elapsed: 0.005s
┌──────────────────────────────────────────┬─────────────────────────┬─────────────────────────┬──────────────────┐
│ commit ┆ min_date ┆ max_date ┆ date_diffs │
│ --- ┆ --- ┆ --- ┆ --- │
│ str ┆ datetime[ms] ┆ datetime[ms] ┆ interval[dt] │
╞══════════════════════════════════════════╪═════════════════════════╪═════════════════════════╪══════════════════╡
│ 406b606398bf18c98063fbe998a4d27f75067eef ┆ 2023-07-05T12:41:06.186 ┆ 2023-07-07T13:31:08.454 ┆ 2D 0h 50m 2.268s │
│ 8e38596bc9494357f01f166076e8d563f28016f3 ┆ 2023-07-07T13:35:20.692 ┆ 2023-07-10T15:42:42.746 ┆ 3D 2h 7m 22.054s │
│ 6f5bd62a974c4b8660783b792b18c7597a805c1e ┆ 2023-08-09T17:43:54.095 ┆ 2023-08-09T19:50:25.802 ┆ 2h 6m 31.707s │
└──────────────────────────────────────────┴─────────────────────────┴─────────────────────────┴──────────────────┘and I have just noticed that it converts them to UTC.
To do that we need to add a function like timedelta('nanos', time), looks very useful I'll add that.
fdncred
In #47, I learned how to open a json file, as long as it's jsonl/ndjson and named with a .json file extension. Now I have a int64 field that needs to be interpreted as a timestamp(nanoseconds). Is there a way to cast the field to some type of a duration or timestamp datatype?