
pyspark - How to use AND or OR condition in when in Spark - Stack …
107 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 …
PySpark: multiple conditions in when clause - Stack Overflow
Jun 8, 2016 · Very helpful observation 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 …
Rename more than one column using withColumnRenamed
Since pyspark 3.4.0, you can use the withColumnsRenamed() method to rename multiple columns at once. It takes as an input a map of existing column names and the corresponding desired column …
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 solution.
PySpark: How to fillna values in dataframe for specific columns?
Jul 12, 2017 · PySpark: How to fillna values in dataframe for specific columns? Asked 8 years, 5 months ago Modified 6 years, 8 months ago Viewed 202k times
Pyspark replace strings in Spark dataframe column
Pyspark replace strings in Spark dataframe column Asked 9 years, 7 months ago Modified 1 year, 1 month ago Viewed 315k times
Filtering a Pyspark DataFrame with SQL-like IN clause
Mar 8, 2016 · Filtering a Pyspark DataFrame with SQL-like IN clause Asked 9 years, 9 months ago Modified 3 years, 8 months ago Viewed 123k times
Pyspark: display a spark data frame in a table format
Pyspark: display a spark data frame in a table format Asked 9 years, 4 months ago Modified 2 years, 4 months ago Viewed 413k times
How to change a dataframe column from String type to Double type in ...
Aug 29, 2015 · I have a dataframe with column as String. I wanted to change the column type to Double type in PySpark. Following is the way, I did: toDoublefunc = UserDefinedFunction(lambda x: …
Pyspark: Parse a column of json strings - Stack Overflow
I have a pyspark dataframe consisting of one column, called json, where each row is a unicode string of json. I'd like to parse each row and return a new dataframe where each row is the parsed json...