Nóta
Aðgangur að þessari síðu krefst heimildar. Þú getur prófað aðskrá þig inn eða breyta skráasöfnum.
Aðgangur að þessari síðu krefst heimildar. Þú getur prófað að breyta skráasöfnum.
Extract the minutes of a given timestamp as integer.
For the corresponding Databricks SQL function, see minute function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.minute(col=<col>)
Parameters
| Parameter | Type | Description |
|---|---|---|
col |
pyspark.sql.Column or str |
target date/time/timestamp column to work on. See Also -------- :meth:pyspark.sql.functions.year :meth:pyspark.sql.functions.quarter :meth:pyspark.sql.functions.month :meth:pyspark.sql.functions.day :meth:pyspark.sql.functions.hour :meth:pyspark.sql.functions.second :meth:pyspark.sql.functions.extract :meth:pyspark.sql.functions.datepart :meth:pyspark.sql.functions.date_part |
Returns
pyspark.sql.Column: minutes part of the timestamp as integer.
Examples
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('2015-04-08 13:08:15',), ('2024-10-31 10:09:16',)], ['ts'])
df.select("*", dbf.typeof('ts'), dbf.minute('ts')).show()
import datetime
df = spark.createDataFrame([
(datetime.datetime(2015, 4, 8, 13, 8, 15),),
(datetime.datetime(2024, 10, 31, 10, 9, 16),)], ['ts'])
df.select("*", dbf.typeof('ts'), dbf.minute('ts')).show()
import datetime
df = spark.createDataFrame([
("13:08:15",),
("10:09:16",)], ['t']).withColumn("t", dbf.col("t").cast("time"))
df.select("*", dbf.typeof('t'), dbf.minute('t')).show()