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 …
How to check if spark dataframe is empty? - Stack Overflow
Sep 22, 2015 · 4 On PySpark, you can also use this bool(df.head(1)) to obtain a True of False value It returns False if the dataframe contains no rows
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 …
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
How to change dataframe column names in PySpark?
I come from pandas background and am used to reading data from CSV files into a dataframe and then simply changing the column names to something useful using the simple command: df.columns =
Pyspark: display a spark data frame in a table format
Pyspark: display a spark data frame in a table format Asked 9 years, 3 months ago Modified 2 years, 4 months ago Viewed 413k times
python - Spark Equivalent of IF Then ELSE - Stack Overflow
python apache-spark pyspark apache-spark-sql edited Dec 10, 2017 at 1:43 Community Bot 1 1
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...