Pyspark create list. How to create a pyspark dataframe from multiple lists Ask ...

Pyspark create list. How to create a pyspark dataframe from multiple lists Ask Question Asked 7 years, 6 months ago Modified 5 years, 5 months ago Here are two ways to add your dates as a new column on a Spark DataFrame (join made using order of records in each), depending on the size of your dates data. Create a dataframe from a list in pyspark. 1 Useful links: Live Notebook | GitHub | Issues | Examples | Community | Stack Overflow | Dev API Reference # This page lists an overview of all public PySpark modules, classes, functions and methods. create_map # pyspark. Understand distributed data processing and customer segmentation with In this article, we are going to learn how to make a list of rows in Pyspark dataframe using foreach using Pyspark in Python. Create Spark session from pyspark. I am using python 3. My Main task is to create a dataframe from the nested list that i have. Introduction: DataFrame in dataframe is the pyspark dataframe Column_Name is the column to be converted into the list map () is the method available in rdd which takes a How to split a list to multiple columns in Pyspark? Ask Question Asked 8 years, 7 months ago Modified 3 years, 11 months ago In this article, we will explore how to create a PySpark DataFrame from multiple lists using different approaches with practical examples. As a result, for the grouped columns, I now have a new python sql list apache-spark pyspark edited Jul 15, 2024 at 20:46 user4157124 3,004 23 33 48 In PySpark, an empty DataFrame is one that contains no data. Append list of lists as column to PySpark's dataframe (Concatenating two dataframes without common column) Asked 6 years, 5 months ago Modified 6 years, 5 months ago Viewed 5k I have a list of string elements, having around 17k elements. By default, PySpark Converting a native Python list structure into a distributed DataFrame is a fundamental operation when working with PySpark. This guide jumps right into the syntax and practical steps for creating a PySpark DataFrame from a list of tuples, packed with examples showing how to handle different tuple The ability to seamlessly transform local Python list objects into distributed PySpark DataFrames is a cornerstone of modern data engineering In this article, we are going to learn how to make a list of rows in Pyspark dataframe using foreach using Pyspark in Python. I know that itertools. Catalog pyspark. First, the list needs to be converted into a PySpark RDD (Resilient Guide to PySpark Column to List. listTables # Catalog. Next, we use a list comprehension to create a string join_clause containing the How to create a column of lists from a column in pyspark Ask Question Asked 3 years, 10 months ago Modified 3 years, 10 months ago In PySpark, a DataFrame is a distributed collection of data organized into named columns, similar to a table in a relational database or an Excel spreadsheet. pyspark. 1. Tables Save DataFrame to Persistent Storage Native DataFrame Plotting Chapter 2: A Tour of PySpark Data Create a DataFrame View the DataFrame DataFrame Manipulation DataFrames vs. types import StructType from pyspark. Is there a way that i can use a list with column names and generate an empty spark dataframe, the schema should be created with the elements from the list with the datatype for all pyspark. Then pass this zipped data to Learn how to convert PySpark DataFrames into Python lists using multiple methods, including toPandas (), collect (), rdd operations, and best-practice approaches for large datasets. sql. The PySpark array syntax isn't similar to the list comprehension syntax that's normally used in Python. I'm using SparkSQL on pyspark to store some PostgreSQL tables into DataFrames and then build a query that generates several time series based on a start and stop columns of type date. Spark is a great engine for small and large datasets. In this article, we are going to discuss how to create a Pyspark dataframe from a list. It allows you to interface with Spark's distributed computation framework using Python, making it easier to work with big data in a language many data Apache Spark ™ examples This page shows you how to use different Apache Spark APIs with simple examples. One for the data in the list type & other for the column headers in the list type. e. pass list as a argument to spark sql statement Ask Question Asked 5 years, 1 month ago Modified 1 year, 7 months ago When working with data manipulation and aggregation in PySpark, having the right functions at your disposal can greatly enhance efficiency and productivity. Collecting data to a Python list and then iterating over the list will transfer all the work to the driver node while I'm trying to convert a list into a dataframe in pyspark so that I can then join it onto a larger dataframe as a column. Suppose that How to convert list of dictionaries into Pyspark DataFrame Asked 7 years, 7 months ago Modified 5 years, 9 months ago Viewed 68k times This tutorial explains how to create a PySpark DataFrame with specific column names, including an example. To do this first create a list of data and a list of column names. Create a DataFrame View the DataFrame DataFrame Manipulation DataFrames vs. cacheTable pyspark. g. body. However: The iterator will consume as much memory as the largest Can someone tell me how to convert a list containing strings to a Dataframe in pyspark. Thus, a PySpark is the Python API for Apache Spark. Example input dataframe: from Diving Straight into Creating PySpark DataFrames with Nested Structs or Arrays Want to build a PySpark DataFrame with complex, nested structures—like employee records with contact To create a DataFrame with a custom schema that includes a map and array type in PySpark, you can use the createDataFrame method along with the appropriate StructType and ArrayType or MapType Create user-defined functions (UDFs) to apply custom logic. create_map(*cols) [source] # Map function: Creates a new map column from an even number of input columns or column references. 4. In order to convert PySpark column to Python List you need to first select the column and perform the collect () on the DataFrame. 1) If you manipulate Simple lists to dataframes for PySpark Here’s a simple helper function I can’t believe I didn’t write sooner import pandas as pd import pyspark a pyspark. Method 1: Using expr in comprehension list Step 1: First of all, import the required libraries, i. Learn data transformations, string manipulation, and more in the cheat sheet. How can I do it? Here is the code to create I am trying to create a new column of lists in Pyspark using a groupby aggregation on existing set of columns. Tables Save DataFrame to Persistent Storage Native DataFrame Plotting Chapter 2: A Tour of PySpark Data spark create map of list columns Ask Question Asked 4 years, 3 months ago Modified 4 years, 3 months ago I have a dataframe in which one of the string type column contains a list of items that I want to explode and make it part of the parent dataframe. sql Ask Question Asked 9 years, 8 months ago Modified 4 years, 11 months ago Note: PySpark shell via pyspark executable, automatically creates the session within the variable spark for users. Now I wanted to create a pyspark data frame as below: In PySpark, Resilient Distributed Datasets (RDDs) are the fundamental data structure representing distributed collections of objects. There are more guides shared with other languages such as Quick Start in Programming Guides at I want to create some dataframes with names from a list. It can be used with single Guide to PySpark list to dataframe. This process Learn PySpark step-by-step, from installation to building ML models. DataFrame # class pyspark. . There are multiple ways to generate a PySpark RDD (Resilient Distributed Dataset). There are a handful of cases when creating a data frame can be pyspark. 6. From a list of dictionaries # The simplest way is to use the createDataFrame () method like so: Spark SQL # This page gives an overview of all public Spark SQL API. Define Column Names: Create a list columns containing the names of Creating PySpark DataFrames from Dictionaries: A Comprehensive Guide PySpark’s DataFrame API is a cornerstone for structured data processing, offering a powerful way to handle big data in a Convert PySpark dataframe column from list to string Asked 8 years, 8 months ago Modified 3 years, 6 months ago Viewed 39k times In PySpark, you can create a DataFrame from multiple lists by first creating a list of tuples (where each tuple represents a row), and then using the createDataFrame method of the SparkSession object. array # pyspark. Overview of collect_list () and collect_set () The collect_list () and collect_set () functions in PySpark are handy Since I need to do some computation on each of the timeseries data, my idea was to split the dataframe into multiple dataframes by id and make each of them an element in a list, so when I create the RDD This PySpark DataFrame Tutorial will help you start understanding and using PySpark DataFrame API with Python examples. createExternalTable pyspark. While the code is focused, press Alt+F1 for a menu of operations. An example input data frame is provided below: Union list of pyspark dataframes Asked 3 years, 3 months ago Modified 3 months ago Viewed 24k times 101 PySpark exercises are designed to challenge your logical muscle and to help internalize data manipulation with python’s favorite package for data analysis. Goal is to programmatically iterate no matter how many I'm new to pyspark, I have a list of jsons coming from an api, each json object has same schema (key-value pair). DataFrame(jdf: py4j. I want to either filter based on the list or include only those records with a value in the list. java_gateway. 7 and I have this thing to solve: Get a dataframe A with X rows For each row in A, depending on a field, create one or more rows of a new What is the GroupByKey Operation in PySpark? The groupByKey operation in PySpark is a transformation that takes a Pair RDD (an RDD of key-value pairs) and groups all values for each key pyspark. This tutorial explains how to create a PySpark DataFrame from a list, including several examples. In this post, you learned different ways of Different Ways to Create PySpark DataFrames: A Comprehensive Guide Introduction Creating Spark DataFrames is a foundational skill for any data In PySpark, you can create a DataFrame from multiple lists by first creating a list of tuples (where each tuple represents a row), and then using the createDataFrame method of the SparkSession object. data = [10, 15, 22, 27, 28, 40] I’m new to Apache Spark Tutorial - Apache Spark is an Open source analytical processing engine for large-scale powerful distributed data processing applications. So you’ll also run this using shell. SparkSession. createDataFrame typically by passing a list of lists, tuples, dictionaries and A PySpark DataFrame is a distributed collection of data organized into named columns, similar to a table in a relational database or a data frame in Pandas. DataType or a datatype string or a list of column names, default is None. DataFrame Creation # A PySpark DataFrame can be created via pyspark. Lists - Create DataFrame from list of tuples using pyspark Ask Question Asked 10 years, 2 months ago Modified 7 years, 10 months ago Collect_list The collect_list function in PySpark SQL is an aggregation function that gathers values from a column and converts them into an We would like to show you a description here but the site won’t allow us. types import StructField from pyspark. It assumes you understand fundamental Apache Spark concepts and are running commands in a Azure Create Dataframe from tuple list with dynamic schema in pyspark Asked 5 years, 1 month ago Modified 5 years, 1 month ago Viewed 295 times For a comprehensive list of data types, see PySpark Data Types. This guide will walk you through the essential pyspark. 6 with spark 2. I'll need them in the same dataframe so I can utilize to create a time series How to create a column with the sum of list values in a pyspark dataframe Ask Question Asked 6 years ago Modified 5 years, 11 months ago Here, we will learn about how to create PySpark DataFrame. In this article, I will explain the usage of Working with lists in Apache Spark data frames Complex data types are far too common in many data sets. types import ArrayType, StructField, StructType, StringType, IntegerType appName = "PySpark Example - In this PySpark tutorial, we will discuss how to apply collect_list () & collect_set () methods on PySpark DataFrame. I'm working in Spark 1. Here we discuss the introduction, working and examples of PySpark create Dataframe from list. This is my preferred way of creating pyspark Welcome back to "PySpark Primer!" We'll examine RDD, a key idea in this edition. You might need to create an empty DataFrame for various reasons such as setting up schemas for data processing or A possible solution is using the collect_list() function from pyspark. To do this, we will use the createDataFrame () PySpark - Adding a Column from a list of values using a UDF Example 1: In the example, we have created a data frame with three columns ' GroupByKey and create lists of values pyspark sql dataframe Ask Question Asked 9 years, 3 months ago Modified 9 years ago Data scientists often need to convert DataFrame columns to lists for various reasons, such as data manipulation, feature engineering, or even Is it possible to get a list like this into a pyspark dataframe? I have tried appending the header to the body e. append (header) and then using the create data frame function but it Pyspark - Create DataFrame from List of Lists with an array field Ask Question Asked 6 years, 2 months ago Modified 6 years, 2 months ago How to add an array of list as a new column to a spark dataframe using pyspark Ask Question Asked 5 years, 4 months ago Modified 5 years, 4 months ago 8 This answer demonstrates how to create a PySpark DataFrame with createDataFrame, create_df and toDF. Like this If you want to append a list of lists as a column to a PySpark DataFrame, you can create a new DataFrame with the list of lists and use the withColumn function to append it to the existing In PySpark, the select () function is mostly used to select the single, multiple, column by the index, all columns from the list and also the nested We also define a list of join keys join_keys (in this case just “id”). DataFrame(jdf, sql_ctx) [source] # A distributed collection of data grouped into named columns. Hey there! Maps are a pivotal tool for handling structured data in PySpark. So we are going to In this article, we will convert a PySpark Row List to Pandas Data Frame. combinations can create pyspark. Here we discuss the internal working and the advantages of list of dataframe in PySpark and its usage. The input I have a PySpark dataframe, but I want to convert this either into a list of dataframes or a dictionary of dataframes. Column # class pyspark. Here is my solution which join two dataframe together on added new column row_num. Intention is a, b, and c represent tables the users upload. Here we discuss the definition, syntax, and working of Column to List in PySpark along with examples. Catalog. A data frame that is similar to a Creating a DataFrame from a list in PySpark is a simple and efficient process. In PySpark, we often need to create a DataFrame from a list, In this article, I will explain creating DataFrame and RDD from List using PySpark Assuming B have total of 3 possible indices, I want to create a table that will merge all indices and values into a list (or numpy array) that looks like this: +-----+----------+. I have a Spark DF I aggregated using collect_list and PartitionBy to pull lists of values associated with a grouped set of columns. This post covers the important PySpark array operations and highlights the pitfalls you should watch PySpark - Create a Dataframe from a dictionary with list of values for each key Asked 2 years, 4 months ago Modified 2 years, 4 months ago Viewed 876 times So I need to create an array of numbers enumerating from 1 to 100 as the value for each row as an extra column. I am trying to create a row from a list in pyspark. Create an empty DataFrame. | id_A| B_values|. A Row object is defined as a single Row in a PySpark DataFrame. PySpark is a powerful Create PySpark DataFrames with List Columns Correctly to prevent frustrating schema mismatches and object-length errors that even experienced developers Guide to PySpark Create Dataframe from List. Groupby column and create lists for another column values in pyspark Ask Question Asked 4 years, 3 months ago Modified 4 years, 3 months ago PySpark helps in processing large datasets using its DataFrame structure. functions), which map to Catalyst expression, are usually preferred over Python user defined functions. Instead of finding out how many columns you should add to your schema to create a column of type array/list. How can I go about this if I want to use a certain columns values as the Conclusion In PySpark and PySQL, the COLLECT_LIST() and COLLECT_SET() functions offer powerful tools for aggregating values into lists Getting Started # This page summarizes the basic steps required to setup and get started with PySpark. Spark DataFrames help provide a view My goal is to transform this dataframe (or create a new one) so that the new data is two length combinations of the items in the table. t Here is an example: In You can use the following methods to create a DataFrame from a list in PySpark: Method 1: Create DataFrame from List. sql import SparkSession from pyspark. The data in the list are randomly generated names as so: from faker Explanation of all PySpark RDD, DataFrame and SQL examples present on this project are available at Apache PySpark Tutorial, All these examples are coded in Create PySpark DataFrame from list of tuples I have a data like this . DataType. Read this comprehensive guide to find the best way to extract the data you PySpark Tutorial Introduction In this PySpark tutorial, you’ll learn the fundamentals of Spark, how to create distributed data processing pipelines, and leverage its Learn how to convert PySpark DataFrames into Python lists using multiple methods, including toPandas(), collect(), rdd operations, and best-practice approaches for large datasets. In simple words, the schema is the structure of a dataset I have a Python list of 10000*1. The UDF is used to Image by AI (Dalle-3) When using PySpark, especially if you have a background in SQL, one of the first things you’ll want to do is get the data you Pyspark create combinations from list Ask Question Asked 5 years, 10 months ago Modified 5 years, 10 months ago Parameters tableNamestr name of the table to create. My code below does not work: Create Your First Dataframe In Pyspark: Learn how to create your first DataFrame in PySpark and explore its basic operations. How do I do that? pyspark. collect_list(col) [source] # Aggregate function: Collects the values from a column into a list, maintaining duplicates, and returns this list of objects. For a comprehensive list of PySpark SQL functions, see PySpark Functions. Then it creates a data frame from the list of In this article, we are going to convert the Pyspark dataframe into a list of tuples. I am trying to filter a dataframe in pyspark using a list. I want to add it to a Spark DataFrame, so that the DataFrame consists of 10000 rows. Learning how to create a Spark DataFrame is one of the first practical steps in the Spark environment. listTables(dbName=None, pattern=None) [source] # Returns a list of tables/views in the specified database. The next code transforms your data into a rdd which instead of tuples Explanation: Initialize Spark Session: Start by initializing a SparkSession, which is the entry point to Spark functionality in PySpark. createDataFrame typically by passing a list of lists, tuples, dictionaries and How to create data frame from list in pyspark without using for loop? Ask Question Asked 8 years, 2 months ago Modified 8 years, 2 months ago The link @James Flanagin produced is probably best, however this method was not in that answer, and is useful in certain scenario's. pyspark collect_set or collect_list with groupby Ask Question Asked 9 years, 10 months ago Modified 6 years, 6 months ago PySpark, a powerful interface for Apache Spark in Python, allows data engineers and analysts to harness the power of RDDs effortlessly. If you want to add content of an arbitrary RDD Quick reference for essential PySpark functions with examples. Method 1: Using Pandas For PySpark Overview # Date: Jan 02, 2026 Version: 4. array(*cols) [source] # Collection function: Creates a new array column from the input columns or column names. types. These essential functions This article walks through simple examples to illustrate usage of PySpark. The SparkSession library is used to create the session, while expr is an Note This method should only be used if the resulting list is expected to be small, as all the data is loaded into the driver’s memory. This guide dives into the syntax and steps for Diving Straight into Filtering Rows by a List of Values in a PySpark DataFrame Filtering rows in a PySpark DataFrame based on whether a column’s values match a list of specified DataFrame Creation # A PySpark DataFrame can be created via pyspark. Using parallelize Below is the Output, Lets explore this code Create a DataFrame # There are several ways to create a DataFrame in PySpark. PySpark SQL collect_list () and collect_set () functions are used to create an array (ArrayType) column on DataFrame by merging rows, typically How to Create a PySpark DataFrame from a List of Tuples The primary method for creating a PySpark DataFrame from a list of tuples is the createDataFrame method of the How to Create a PySpark DataFrame from a List of Tuples The primary method for creating a PySpark DataFrame from a list of tuples is the createDataFrame method of the DataFrame Creation # A PySpark DataFrame can be created via pyspark. RDD # class pyspark. Spark supports a handful of complex JSON’s flexibility makes it a common format for semi-structured data, and PySpark’s JSON parsing capabilities simplify the process. I am trying to convert Python code into PySpark I am Querying a Dataframe and one of the Column has the Data as shown Creating a column based upon a list and column in Pyspark Asked 9 years, 10 months ago Modified 9 years, 10 months ago Viewed 2k times In this article, we are going to discuss how to create a Pyspark dataframe from a list. #define list of data. The rows in the dataframe are stored in the list separated by a comma operator. 0: Allow tableName to be qualified with catalog name. 1 and Python 2. createDataFrame typically by passing a list of lists, tuples, dictionaries and The collect_list function in PySpark SQL is an aggregation function that gathers values from a column and converts them into an array. createTable A quick reference guide to the most commonly used patterns and functions in PySpark SQL. How can I create a function that uses a list of strings to iterate the following. Limitations, real-world use cases, and alternatives. Convert list of lists to pyspark dataframe? Ask Question Asked 3 years, 10 months ago Modified 3 years, 10 months ago The case is really simple, I need to convert a python list into data frame with following code from pyspark. The schema is then used to create the DataFrame from the list of tuples, resulting in a Spark DataFrame with a well-defined structure. RDD(jrdd, ctx, jrdd_deserializer=AutoBatchedSerializer (CloudPickleSerializer ())) [source] # A Resilient Distributed Dataset (RDD), the basic abstraction in I have created a list of dataframes and now want to add another dataframe in order to union this list afterwards. Changed in version 3. When initializing an empty DataFrame in PySpark, it’s mandatory to specify its schema, as the DataFrame lacks data from which the schema can be inferred. RDDs This tutorial explains how to filter a PySpark DataFrame for rows that contain a value from a list, including an example. PySpark parallelize () is a function in SparkContext and is used to create an RDD from a list collection. When to use it and why. simpleString, except that top level struct I have to add column to a PySpark dataframe based on a list of values. The SparkSession library is used to create the session, while the SQLContext is used as an entry point to SQL in Python. We will also look at additional methods useful in performing PySpark tasks. SparkSession. This will aggregate all column values into a pyspark array that is converted into a python list when collected: I have a value in a variable - ID as 1 and a list of ten values say LIST1 = [1,2,3,4,5,6,7,8,9,10]. I have to create new columns in a dataframe having integer 0 as all their elements and the columns should have the Diving Straight into Converting a PySpark DataFrame Column to a Python List Converting a PySpark DataFrame column to a Python list is a common task for data engineers and I am trying to figure out how to dynamically create columns for each item in list (cp_codeset list in this case) by using withColumn () function and calling udf in the withColumn () Is there something like an eval function equivalent in PySpark. One of the simplest ways to create a DataFrame is by using Python data structures like PySpark create new column with mapping from a dict Asked 9 years ago Modified 3 years, 3 months ago Viewed 136k times In this article, we will discuss how to create the dataframe with schema using PySpark. In this article, we will see different methods to create a PySpark pip install pyspark This lets you import PySpark and create SparkSessions to work with data. Using the array() function with a bunch of literal values works, but Different Approaches to Convert Python List to Column in PySpark DataFrame 1. It is Is it consecutive, starting from 0 and can I also say that first index of your list belongs to first the row with index 0? I'm asking this question because pyspark dataframes are not ordered (like Using a generator you don't create and store the list upfront, but you fetch the results while iterating over the rows. The current code that i have written is something like that d = [[df1, 'path to datafile'],[df2,'path to data file']] for lst in d: lst[0] = But it’s not that uncommon when you need to create a data frame using PySpark. It's best to avoid collecting data to lists and figure out to solve problems in a parallel manner. It can be used with single Apache Spark ™ examples This page shows you how to use different Apache Spark APIs with simple examples. A Learn how to create ordered lists in Pyspark using groupby and aggregation based on another variable. The create_map() function transforms DataFrame columns into powerful map structures for you to PySpark - How to deal with list of lists as a column of a dataframe Asked 6 years ago Modified 6 years ago Viewed 8k times Empty list representation in PySpark Ask Question Asked 5 years, 1 month ago Modified 3 years, 9 months ago Converting a list of rows to a PySpark dataframe Asked 6 years, 7 months ago Modified 4 years, 9 months ago Viewed 29k times Performance-wise, built-in functions (pyspark. Built on top of RDDs, DataFrames in PySpark Thanks to Gaurav Dhama for a great answer! I made changes a little with his solution. All DataFrame examples provided in this Tutorial were tested in our I have a list of items: my_list = ['a', 'b', 'c'] I have an existing dataframe, and I want to insert my_list as a new column into the existing dataframe. I am just started learning spark environment and my data looks like b How to create a PySpark dataframe from two lists? Ask Question Asked 8 years, 8 months ago Modified 7 years, 2 months ago 6 Since you have a list of tuple s and tuple s are immutable, you will need to create a new tuple by concentrating the existing tuple with a single-element tuple (created by (score,)), then In this article, we are going to discuss the creation of a Pyspark dataframe from a list of tuples. list_dataframe = . Bonus One pyspark create a distinct list from a spark dataframe column and use in a spark sql where statement Ask Question Asked 5 years, 2 months ago Modified 5 years, 2 months ago 2 I want to maintain the date sort-order, using collect_list for multiple columns, all with the same date order. clearCache pyspark. DataFrames provide a Collect records from a column into a list in PySpark Azure Databricks with step by step examples. JavaObject, sql_ctx: Union[SQLContext, SparkSession]) ¶ A distributed collection of data grouped into named columns. Create single row dataframe from list of list PySpark. Column(*args, **kwargs) [source] # A column in a DataFrame. If you’re learning PySpark and want to experiment, this method is essential and easy to use. PySpark is a powerful Learn how to easily convert a PySpark DataFrame column to a Python list using various approaches. 2. • PySpark for Absolute Beginners: Part 1 – G In PySpark, you can create dataframe using 2 Python List. In this article, we are going to learn how to add a column from a list of values using a UDF using Pyspark in Python. The data type string format equals to pyspark. functions. This PySpark cheat sheet with code samples covers the basics like initializing Spark in Python, loading data, sorting, and repartitioning. How to create columns from list values in Pyspark dataframe Ask Question Asked 7 years, 5 months ago Modified 7 years, 5 months ago How can I pass a list of columns to select in pyspark dataframe? Ask Question Asked 6 years ago Modified 6 years ago I have 3 string values and 4 lists that Im trying to create a dataframe. DataFrame ¶ class pyspark. Create single row dataframe from list of list PySpark Ask Question Asked 8 years, 1 month ago Modified 7 years, 2 months ago You can manually create a PySpark DataFrame using toDF() and createDataFrame() methods, both these function takes different signatures in pyspark. Sort list using UDF MapType in UDF Aggregation and Collection Summarize your data using powerful aggregation In this example, we convert the list of custom objects to a list of Row objects using list comprehension. pelc xvpo tc2 4qv c3gi