📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘📘📘📘📘📘📘
Getting rows having nulls for a column
📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘📘📘📘📘📘📘
isNotNull() : True if the current expression is NOT null.
isNull() : True if the current expression is null.
With this you can get the total count of null or not null values in the column using PySpark
Read article :
https://www.freshers.in/article/spark/pyspark-how-to-get-rows-having-nulls-for-a-column-or-columns-without-nulls-or-count-of-non-null/Get complete source code in the above article
#freshers #freshers2024 #PySpark #BigData #Spark #DataAnalysisPySpark how to get rows having nulls for a column or columns without nulls or count of Non null - Freshers.in
pyspark.sql.Column.isNotNull isNotNull() : True if the current expression is NOT null. isNull() : True if the current expression is null. With this you can get the total count of null or not null values in the column using PySpark from pyspark.sql import SparkSession spark = SparkSession.builder.appName("isNotNull @ Freshers.in ").getOrCreate() emp_schema= ["name","id","age","gender","dept","state","salary","increment"] emp_data = [ ("Sam",1010,30,"Male","IT",None,125000,8.1), ("Peter",1020,32,"Male","HR","NY",90000,7.0),
📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘📘📘📘📘📘📘
Efficiently Processing Large Text Files in Python
📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘 📘📘📘📘📘📘📘
Processing large text files efficiently is a common challenge faced by programmers dealing with vast amounts of data. In this guide, we’ll explore various techniques to enhance the performance of your Python scripts when handling massive text files.
Sample code with Data in the link
Python Learning #freshers #freshers2024
https://www.freshers.in/article/python/efficiently-processing-large-text-files-in-python/
Efficiently Processing Large Text Files in Python - Freshers.in
Learn how to supercharge your text file processing in Python! Dive into efficient techniques, optimizations, and a real-world example to boost performance. Master large-scale data handling effortlessly.
PySpark : Extracting the Month from a Date in PySpark. The month() function extracts the month part from a given date.
Complete code with sample data :
https://www.freshers.in/article/spark/pyspark-extracting-the-month-from-a-date-in-pyspark/#spark #bigdata #analytics
PySpark : Extracting the Month from a Date in PySpark - Freshers.in
PySpark : Extracting the Month from a Date in PySpark
Verbal and Reasoning - Freshers.in
Error Identification-Grammar Diagnostics Sentence Construction Spellings Selecting words Antonym-Opposite Synonym Verbal Analogies One word substitutes Change of Voice – Active-Passive...
Reading Amazon S3 bucket using access keys and secret keys in Python : To read an object from an Amazon S3 bucket using access keys and secret keys in Python, you can use the boto3 library, which is the official AWS SDK for Python .
#freshers.in
#python Complete Source code :
https://www.freshers.in/article/python/reading-amazon-s3-bucket-using-access-keys-and-secret-keys-in-python/Reading Amazon S3 bucket using access keys and secret keys in Python - Freshers.in
To read an object from an Amazon S3 bucket using access keys and secret keys in Python, you can use...
Snowflake interview questions - Freshers.in
Snowflake interview questions for freshers and experienced. This includes all the basic to advanced questions and answers
Comprehensive collection of Technology, Programming Languages, Technical, aptitude questions complete with thorough answers and in-depth explanations, tailored for your competitive exams, Scholastic Assessment Test, job interviews, and entrance assessments.
