Problem Statement: -

Dataframe API Solution: -

data = [ [1, "Vikas", "Ahlawat", 600000.0, "2013-02-15 11:16:28.290", "IT", "Male"], [2, "nikita", "Jain", 530000.0, "2014-01-09 17:31:07.793", "HR", "Female"], [3, "Ashish", "Kumar", 1000000.0, "2014-01-09 10:05:07.793", "IT", "Male"], [4, "Nikhil", "Sharma", 480000.0, "2014-01-09 09:00:07.793", "HR", "Male"], [5, "anish", "kadian", 500000.0, "2014-01-09 09:31:07.793", "Payroll", "Male"], ] # Create a schema for the DataFrame
schema = StructType([ StructField("EmployeeID", IntegerType(), True), StructField("First_Name", StringType(), True), StructField("Last_Name", StringType(), True), StructField("Salary", DoubleType(), True), StructField("Joining_Date", StringType(), True), StructField("Department", StringType(), True), StructField("Gender", StringType(), True) ])

df = spark.createDataFrame(data,schema)

df.show()
+----------+----------+---------+---------+--------------------+----------+------+
|EmployeeID|First_Name|Last_Name|   Salary|        Joining_Date|Department|Gender|
+----------+----------+---------+---------+--------------------+----------+------+
|         1|     Vikas|  Ahlawat| 600000.0|2013-02-15 11:16:...|        IT|  Male|
|         2|    nikita|     Jain| 530000.0|2014-01-09 17:31:...|        HR|Female|
|         3|    Ashish|    Kumar|1000000.0|2014-01-09 10:05:...|        IT|  Male|
|         4|    Nikhil|   Sharma| 480000.0|2014-01-09 09:00:...|        HR|  Male|
|         5|     anish|   kadian| 500000.0|2014-01-09 09:31:...|   Payroll|  Male|
+----------+----------+---------+---------+--------------------+----------+------+
df1 = df.select("first_name")
df1.show()
+----------+
|first_name|
+----------+
|     Vikas|
|    nikita|
|    Ashish|
|    Nikhil|
|     anish|
+----------+
df1 = df.select("first_name")

df2 = df1.withColumn("First_name",upper("first_name"))
df2.show()
+----------+
|First_name|
+----------+
|     VIKAS|
|    NIKITA|
|    ASHISH|
|    NIKHIL|
|     ANISH|
+----------+
df1 = df.select("first_name")

df2 = df1.withColumn("First_name",lower("first_name"))
df2.show()
+----------+
|First_name|
+----------+
|     vikas|
|    nikita|
|    ashish|
|    nikhil|
|     anish|
+----------+

concat_ws()

df1 = df.select(concat_ws(" ",col("First_Name"),col("Last_Name")).alias("Name"))

df1.show()
+-------------+
|         Name|
+-------------+
|Vikas Ahlawat|
|  nikita Jain|
| Ashish Kumar|
|Nikhil Sharma|
| anish kadian|
+-------------+