PySpark: multiple conditions in when clause - Stack Overflow 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 combine to form the condition
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 names
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: 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
spark dataframe drop duplicates and keep first - Stack Overflow 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 except 2 columns file_date (file date extracted from the file name) and data_date (row date stamp)