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Datespine

This transform generates a date spine for your date index, which can replace your date index column for modeling.
All intervals are considered to be start-inclusive and end-exclusive, or [start, end]. The join with the date spine will be an outer join such that all intervals are present and all data that does not fall into one of those intervals is excluded.
If start_timestamp or end_timestamp are left blank, they will be automatically generated as the min or max timestamp in the 'date_col' column.
It's essentially:
SELECT user_table.*, intervals.*
FROM intervals
LEFT JOIN user_table
ON ...

Parameters

Name
Type
Description
Is Optional
date_col
column
The column used to create intervals. This must be a datetime column.
​
interval_type
date_part
A valid SQL datepart to slice the date_col. For interval types, see this Snowflake doc.​
​
start_timestamp
timestamp
The timestamp to start calculating from; this will be included in the output set; this timestamp will have no timezone
True
end_timestamp
timestamp
The timestamp to calculate to; this will be included in the output set; this timestamp will have no timezone
True

Example

ds = rasgo.get.dataset(74)
​
ds2 = ds.datespine(
date_col='ORDERDATE',
start_timestamp='2017-01-01',
end_timestamp='2020-01-01',
interval_type='month'
)
ds2.preview()
​

Source Code