PySpark: multiple conditions in when clause - Stack Overflow
Jun 8, 2016 · when in pyspark multiple conditions can be built using &(for and) and | (for or). Note:In pyspark t is important to enclose every expressions within parenthesis () that combine …
pyspark - How to use AND or OR condition in when in Spark
pyspark.sql.functions.when takes a Boolean Column as its condition. When using PySpark, it's often useful to think "Column Expression" when you read "Column". Logical operations on …
Pyspark: display a spark data frame in a table format
spark.conf.set("spark.sql.execution.arrow.pyspark.enabled", "true") For more details you can refer to my blog post Speeding up the conversion between PySpark and Pandas DataFrames Share
How to export a table dataframe in PySpark to csv?
Jul 13, 2015 · I am using Spark 1.3.1 (PySpark) and I have generated a table using a SQL query. I now have an object that is a DataFrame . I want to export this DataFrame object (I have …
Comparison operator in PySpark (not equal/ !=) - Stack Overflow
Aug 24, 2016 · The selected correct answer does not address the question, and the other answers are all wrong for pyspark. There is no "!=" operator equivalent in pyspark for this …
How to change dataframe column names in PySpark?
import pyspark.sql.functions as F df = df.select(*[F.col(name_old).alias(name_new) for (name_old, name_new) in zip(df.columns, new_column_name_list)] This doesn't require any …
pyspark dataframe filter or include based on list
Nov 4, 2016 · I am trying to filter a dataframe in pyspark using a list. I want to either filter based on the list or include only those records with a value in the list. My code below does not work: # …
spark dataframe drop duplicates and keep first - Stack Overflow
Aug 1, 2016 · Question: in pandas when dropping duplicates you can specify which columns to keep. Is there an equivalent in Spark Dataframes? Pandas: df.sort_values('actual_datetime', …
python - Add new rows to pyspark Dataframe - Stack Overflow
Oct 7, 2018 · Am very new pyspark but familiar with pandas. I have a pyspark Dataframe # instantiate Spark spark = SparkSession.builder.getOrCreate() # make some test data columns …
PySpark: TypeError: col should be Column - Stack Overflow
Aug 4, 2022 · PySpark: TypeError: col should be Column. There is no such problem with any other of the keys in the dict, i.e. "value". I really do not understand the problem, do I have to …