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Tag: pyspark

Extract first fields from struct columns into a dictionary

I need to create a dictionary from Spark dataframe’s schema of type pyspark.sql.types.StructType. The code needs to go through entire StructType, find only those StructField elements which are of type StructType and, when extracting into dictionary, use the name of parent StructField as key while value would be name of only the first nested/child StructField. Example schema (StructType): Desired result:

PySpark: Performing One-Hot-Encoding

I need to perform classification task on a dataset which consists categorical variables. I performed the one-hot encoding on that data. But I am confused that whether I am doing it right way or not. Step 1: Lets say, for example, this is a dataset: Step 2: After performing one-hot encoding it gives this data: Step 3: Here the fourth

Replicate a function from pandas into pyspark

I am trying to execute the same function on a spark dataframe rather than pandas. Answer A direct translation would require you to do multiple collect for each column calculation. I suggest you do all calculations for columns in the dataframe as a single row and then collect that row. Here’s an example. Calculate percentage of whitespace values and number

Pyspark find existing set of rows in a dataframe and replace it with values from another dataframe

I have a Pyspark dataframe_Old (dfo) as below: Id neighbor_sid neighbor division a1 1100 Naalehu Hawaii a2 1101 key-west-fl Miami a3 1102 lubbock Texas a10 1202 bay-terraces California I have a Pyspark dataframe_new (dfn) as below: Id neighbor_sid neighbor division a1 1100 Naalehu Hawaii a2 1111 key-largo-fl Miami a3 1103 grapevine Texas a4 1115 meriden-ct Connecticut a12 2002 east-louisville Kentucky

string split with the value of another clumn PySpark

I have the following data frame i want it to split path column with value of the item column in the same index i’ve used this udf function it worked very well But, i was wondering if there’s another way to do it with pyspark function because i can’t use in anyway the “org” to join with another dataframe or