agg (DataFrame)

Aggregate on the entire DataFrame without groups (shorthand for df.groupBy().agg()).

Syntax

agg(*exprs: Union[Column, Dict[str, str]])

Parameters

Parameter	Type	Description
exprs	Column or dict of key and value strings	Columns or expressions to aggregate DataFrame by.

Returns

DataFrame: Aggregated DataFrame.

Examples

from pyspark.sql import functions as sf
df = spark.createDataFrame([(2, "Alice"), (5, "Bob")], schema=["age", "name"])
df.agg({"age": "max"}).show()
# +--------+
# |max(age)|
# +--------+
# |       5|
# +--------+
df.agg(sf.min(df.age)).show()
# +--------+
# |min(age)|
# +--------+
# |       2|
# +--------+