verticapy.sql.functions.week#
- verticapy.sql.functions.week(expr: str | list[str] | StringSQL | list[StringSQL]) StringSQL #
Returns the week of the year for the specified date as an integer, where the first week begins on the first Sunday on or preceding January 1.
Parameters#
- expr: SQLExpression
Expression.
Returns#
- StringSQL
SQL string.
Examples#
First, let’s import the vDataFrame in order to create a dummy dataset.
from verticapy import vDataFrame
Now, let’s import the VerticaPy SQL functions.
import verticapy.sql.functions as vpf
We can now build a dummy dataset.
df = vDataFrame( { "x": [ '11-03-1993 12:05:10.23', '09-05-1959 03:10:20.12', ], }, ) df["x"].astype("timestamp")
Now, let’s go ahead and apply the function.
df["week_x"] = vpf.week(df["x"]) display(df)
📅xTimestamp100%123week_xInteger100%1 1993-11-03 12:05:10.230000 45 2 1959-09-05 03:10:20.120000 36 Note
It’s crucial to utilize VerticaPy SQL functions in coding, as they can be updated over time with new syntax. While SQL functions typically remain stable, they may vary across platforms or versions. VerticaPy effectively manages these changes, a task not achievable with pure SQL.
See also
vDataFrame.
eval()
: Evaluates the expression.