Datetrunc

Truncates a date to the datepart you specify. For example, if you truncate the date '10-31-2022' to the 'month', you would get '10-1-2022'.

For a list of valid dateparts, refer to Supported Date and Time Parts

Parameters

Name	Type	Description	Is Optional
dates	datepart_dict	dict where the keys are names of column(s) you want to datetrunc and the values are the desired date grain

Example

Pull a source Dataset and preview it:

ds = rasgo.get.dataset(id)
print(ds.preview())

	DATE	FIPS	COVID_NEW_CONFIRMED
0	2020-10-17	47183	12
1	2020-10-18	47183	13
2	2020-10-19	47183	5
3	2020-10-20	47183	10
4	2020-10-21	47183	9
5	2020-10-22	47183	14
6	2020-10-23	47183	44
7	2020-10-24	47183	12
8	2020-10-25	47183	38
9	2020-10-26	47183	12

Transform the Dataset and preview the result:

ds2 = ds.datetrunc(
  dates = {
    'DATE':'month',
    'Timestamp':'hour'
  }
)

ds2.preview()

	DATE	FIPS	COVID_NEW_CONFIRMED	DATE_MONTH
0	2020-10-17	47183	12	2020-10-01
1	2020-10-18	47183	13	2020-10-01
2	2020-10-19	47183	5	2020-10-01
3	2020-10-20	47183	10	2020-10-01
4	2020-10-21	47183	9	2020-10-01
5	2020-10-22	47183	14	2020-10-01
6	2020-10-23	47183	44	2020-10-01
7	2020-10-24	47183	12	2020-10-01
8	2020-10-25	47183	38	2020-10-01
9	2020-10-26	47183	12	2020-10-01

Source Code

RasgoTransforms/datetrunc.sql at main · rasgointelligence/RasgoTransformsGitHub