split a list of overlapping intervals into non overlapping subintervals in a pyspark dataframe

I have a pyspark dataframe that contains the columns start_time, end_time that define an interval per row. There is a column rate, and I want to know if there is not different values for a sub-…

Test of one dataframe in another

I have a pyspark dataframe df: A B C E00 FT AS E01 FG AD E02 FF AB E03 FH AW E04 FF AQ E05 FV AR E06 FD AE and another smaller pyspark dataframe but with 3 rows with …

PySpark “illegal reflective access operation” when executed in terminal

I’ve installed Spark and components locally and I’m able to execute PySpark code in Jupyter, iPython and via spark-submit – however receiving the following WARNING’s: WARNING: An illegal reflective …

How to read a gzip compressed json lines file into PySpark dataframe?

I have a JSON-lines file that I wish to read into a PySpark data frame. the file is gzipped compressed. The filename looks like this: file.jl.gz I know how to read this file into a pandas data frame: …

pyspark matplotlib integration with Zeppelin

I’m trying to draw histogram using pyspark in Zeppelin notebook. Here is what I have tried so far, %pyspark import matplotlib.pyplot as plt import pandas … x=dateDF.toPandas()[“year(CAST(_c0 …

spark-nlp ‘JavaPackage’ object is not callable

I am using jupyter lab to run spark-nlp text analysis. At the moment I am just running the sample code: import sparknlp from pyspark.sql import SparkSession from sparknlp.pretrained import …

How do I get VSCode to recognize Python3 as my default

I have python3 install on my Mac and I’m in the terminal, I use python3 by default. However when I’m in VSCode it is not recognizing python3 as my default, it’s still pulling in python2.7. Here is a …

Why do we use pyspark UDF when python functions are faster than them? (Note. Not worrying about spark SQL commands)

I have a dataframe: df = (spark .range(0, 10 * 1000 * 1000) .withColumn(‘id’, (col(‘id’) / 1000).cast(‘integer’)) .withColumn(‘v’, rand())) Output: +—+——————-+ | id| …

How to get the N most recent dates in Pyspark

Is there a way to get the most 30 recent days worth of records for each grouping of data in Pyspark? In this example, get the 2 records with the most recent dates within the groupings of (Grouping, …

Pyspark: How to code Complicated Dataframe algorithm problem (summing with condition)

I have a dataframe looks like this: date : sorted nicely Trigger : only T or F value : any random decimal (float) value col1 : represents number of days and can not be lower than -1.** -1<= col1 < infinity** col2 : represents number of days and cannot be negative. col2 >= 0 **Calculation logic ** If col1 == -1, then return 0, otherwise if Trigger == T, the following diagram will help to understand the logic. If we look at “red color”, +3 came from col1 which is col1==3 at 2020-08-01, what it means is that we jump