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 |
|---|---|---|
| Column or dict of key and value strings | Columns or expressions to aggregate DataFrame by. |
Returns
DataFrame: Aggregated DataFrame.
Examples
Python
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|
# +--------+