Бележка
Достъпът до тази страница изисква удостоверяване. Можете да опитате да влезете или да промените директориите.
Достъпът до тази страница изисква удостоверяване. Можете да опитате да промените директориите.
Returns the first date which is later than the value of the date column based on second week day argument.
For the corresponding Databricks SQL function, see next_day function.
Syntax
from pyspark.sql import functions as dbf
dbf.next_day(date=<date>, dayOfWeek=<dayOfWeek>)
Parameters
| Parameter | Type | Description |
|---|---|---|
date |
pyspark.sql.Column or str |
target column to compute on. |
dayOfWeek |
literal string |
day of the week, case-insensitive, accepts: "Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun" |
Returns
pyspark.sql.Column: the column of computed results.
Examples
from pyspark.sql import functions as dbf
df = spark.createDataFrame([('2015-07-27',)], ['dt'])
df.select('*', dbf.next_day(df.dt, 'Sun')).show()
df.select('*', dbf.next_day('dt', 'Sat')).show()