pyspark - How to use AND or OR condition in when in Spark
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: 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 …
Pyspark replace strings in Spark dataframe column
Pyspark replace strings in Spark dataframe column Asked 9 years, 7 months ago Modified 1 year ago Viewed 315k times
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 …
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: …
spark dataframe drop duplicates and keep first - Stack Overflow
Aug 1, 2016 · 2 I just did something perhaps similar to what you guys need, using drop_duplicates pyspark. Situation is this. I have 2 dataframes (coming from 2 files) which are exactly same …
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, 4 months ago Modified 6 years, 7 months ago Viewed 202k times
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
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 …