Piezīmes
Lai piekļūtu šai lapai, ir nepieciešama autorizācija. Varat mēģināt pierakstīties vai mainīt direktorijus.
Lai piekļūtu šai lapai, ir nepieciešama autorizācija. Varat mēģināt mainīt direktorijus.
Returns timestamp truncated to the unit specified by the format.
For the corresponding Databricks SQL function, see date_trunc function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.date_trunc(format=<format>, timestamp=<timestamp>)
Parameters
| Parameter | Type | Description |
|---|---|---|
format |
literal string |
year, yyyy, yy to truncate by year, month, mon, mm to truncate by month, day, dd to truncate by day, Other options are: microsecond, millisecond, second, minute, hour, week, quarter |
timestamp |
pyspark.sql.Column or str |
input column of values to truncate. |
Returns
pyspark.sql.Column: truncated timestamp.
Examples
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('1997-02-28 05:02:11',)], ['ts'])
df.select('*', dbf.date_trunc('year', df.ts)).show()
df.select('*', dbf.date_trunc('mon', 'ts')).show()