You can use the following methods to print one specific column of a PySpark DataFrame:
Method 1: Print Column Values with Column Name
df.select('my_column').show()
Method 2: Print Column Values Only
df.select('my_column').rdd.flatMap(list).collect()
The following examples show how to use each method in practice with the following PySpark DataFrame:
from pyspark.sql import SparkSession
spark = SparkSession.builder.getOrCreate()
#define data
data = [['A', 'East', 11, 4],
['A', 'East', 8, 9],
['A', 'East', 10, 3],
['B', 'West', 6, 12],
['B', 'West', 6, 4],
['C', 'East', 5, 2]]
#define column names
columns = ['team', 'conference', 'points', 'assists']
#create dataframe using data and column names
df = spark.createDataFrame(data, columns)
#view dataframe
df.show()
+----+----------+------+-------+
|team|conference|points|assists|
+----+----------+------+-------+
| A| East| 11| 4|
| A| East| 8| 9|
| A| East| 10| 3|
| B| West| 6| 12|
| B| West| 6| 4|
| C| East| 5| 2|
+----+----------+------+-------+
Example 1: Print Column Values with Column Name
We can use the following syntax to print the column values along with the column name for the conference column of the DataFrame:
#print 'conference' column (with column name) df.select('conference').show() +----------+ |conference| +----------+ | East| | East| | East| | West| | West| | East| +----------+
Notice that both the column name and the column values are printed for only the conference column of the DataFrame.
Example 2: Print Column Values Only
We can use the following syntax to print only the column values of the conference column of the DataFrame:
#print values only from 'conference' column df.select('conference').rdd.flatMap(list).collect() ['East', 'East', 'East', 'West', 'West', 'East']
Notice that only the values from the conference column are printed and the name of the column is not included.
Additional Resources
The following tutorials explain how to perform other common tasks in PySpark:
PySpark: How to Select Rows Based on Column Values
PySpark: How to Select Rows by Index in DataFrame
PySpark: How to Select Columns by Index in DataFrame
