To get the maximum value in a column of a Spark DataFrame, you can use the agg()
function along with the max()
aggregation function from the pyspark.sql.functions
module. Here's how you can do it:
from pyspark.sql import SparkSession from pyspark.sql.functions import col # Initialize a Spark session spark = SparkSession.builder.appName("MaxValue").getOrCreate() # Sample data data = [(1, 10), (2, 15), (3, 5)] columns = ["id", "value"] # Create a DataFrame df = spark.createDataFrame(data, columns) # Get the maximum value in a column max_value = df.agg({"value": "max"}).collect()[0][0] print("Maximum value:", max_value)
In this example, agg({"value": "max"})
calculates the maximum value in the "value" column. The collect()[0][0]
retrieves the computed maximum value from the result.
You can also use the select()
function to achieve the same result:
max_value = df.selectExpr("max(value)").collect()[0][0]
Both of these approaches will give you the maximum value in the specified column of the Spark DataFrame.
Pyspark dataframe get max value in column:
max_value = df.selectExpr("max(column_name)").collect()[0][0]
How to find max value in PySpark DataFrame column:
max_value = df.agg({"column_name": "max"}).collect()[0][0]
PySpark DataFrame max value in column:
from pyspark.sql.functions import max as max_ max_value = df.select(max_("column_name")).collect()[0][0]
Best way to get maximum value in PySpark DataFrame column:
max_value = df.agg({"column_name": "max"}).collect()[0][0]
Python PySpark code to find max value in DataFrame column:
max_value = df.selectExpr("max(column_name)").collect()[0][0]
Getting max value from PySpark DataFrame column:
max_value = df.selectExpr("max(column_name)").collect()[0][0]
PySpark code to calculate max value in DataFrame column:
max_value = df.agg({"column_name": "max"}).collect()[0][0]
Efficient way to find max value in PySpark DataFrame column:
max_value = df.agg({"column_name": "max"}).collect()[0][0]
PySpark get max value in column:
max_value = df.selectExpr("max(column_name)").collect()[0][0]
Finding max value in a PySpark DataFrame column:
max_value = df.selectExpr("max(column_name)").collect()[0][0]
continuous-integration tcp-keepalive margins strcat c11 homekit whatsapp class-attributes symfony-1.4 shebang