PySpark withColumn() is a transformation function of DataFrame which is used to change the value, convert the datatype of an existing column, create a new …
PySpark withColumn() is a transformation function of DataFrame which is used to change the value, convert the datatype of an existing column, create a new column, and many more.
from pyspark.sql.functions import col, lit
data =
columns =
df = spark.createDataFrame(data=data, schema = columns)
df.show()
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