Check number of rows in pyspark dataframe. Thus, after partitioning, if he wants to know how .
Check number of rows in pyspark dataframe Both distinct and dropDuplicates function's operation will result in shuffle partitions i. 1st parameter is to show all rows in the dataframe dynamically rather than hardcoding a numeric value. Note: In Python None is equal to null value, son on PySpark DataFrame None values are shown as null Let’s create a DataFrame with some null values. Method 1: Using df. from pyspark import SparkContext, SparkConf from pyspark. In this article, we'll explore the concept of pyspark. 5. Jul 23, 2025 · In this article, we will discuss how to get the number of rows and the number of columns of a PySpark dataframe. toLocalIterator(): do_something(row) Note: Sparks distributed data and distributed processing allows to work on amounts of data that are very hard to handle otherwise. The select() method allows you to select and return columns from a PySpark DataFrame. How can i simply count the number of records in a dataframe. count() method, but this is not recommended approach due to performance issues. By chaining these you can get the count distinct of PySpark DataFrame. I would have thought some thing as simple as this would do it and i can't seem to even find the answer in sear Jan 8, 2019 · I want to check how can we get information about each partition such as total no. The transformations are only computed when an action is executed. This function takes number as parameter to restrict that many rows in dataframe. Whether you’re assessing dataset size, validating data transformations, or monitoring data volume in a pipeline, count provides a Mar 27, 2024 · The spark. sql import SparkSession Jul 2, 2020 · Pandas provide data analysts a variety of pre-defined functions to Get the number of rows and columns in a data frame. Mar 27, 2024 · Solution: In order to find non-null values of PySpark DataFrame columns, we need to use negate of isNotNull() function for example ~df. count(), and groupBy(). In this tutorial, you'll learn how to use count(), distinct(). head(<number of rows>) etc to compensate for your needs. This function is part of the Column class and returns True if the value matches any of the provided arguments. isEmpty, Dataframe. It is analogous to the SQL WHERE clause and allows you to apply filtering criteria to DataFrame rows Jul 31, 2023 · Count Rows With Null Values in a Column in PySpark DataFrame To count rows with null values in a column in a pyspark dataframe, we can use the following approaches. It is similar to Python’s filter () function but operates on distributed datasets. Row # class pyspark. Apr 28, 2025 · The API which was introduced to support Spark and Python language and has features of Scikit-learn and Pandas libraries of Python is known as Pyspark. For data engineers working with Apache Spark, identifying and filtering duplicate rows in a PySpark DataFrame is a common task, whether you're cleaning raw May 6, 2020 · I am sending data from a dataframe to an API that has a limit of 50,000 rows. count ¶ DataFrame. May 16, 2024 · In PySpark, the isin () function, or the IN operator is used to check DataFrame values and see if they’re present in a given list of values. I could not find any function in PySpark's official documentation. I want to add an index column in this dataframe and then do some data profiling and data quality check… 1 PYSPARK In the below code, df is the name of dataframe. Method 1 – select () for Counting Rows The most straightforward way to get a total row count in PySpark is using the select() method along with count(). The number of partitions in The count() function in PySpark returns the number of rows in a DataFrame. PySpark DataFrames are designed for distributed data processing, so direct row-wise Oct 16, 2023 · The following examples show how to use each method in practice with the following PySpark DataFrame that contains information about various basketball players: from pyspark. It accepts the argument '0' for rows and '1' for columns. Row(*args, **kwargs) [source] # A row in DataFrame. collect () [index_position] Where, dataframe is the pyspark dataframe index_position is the index row in dataframe Example: Python code to access rows Nov 29, 2023 · distinct() eliminates duplicate records (matching all columns of a Row) from DataFrame, count () returns the count of records on DataFrame. Oct 6, 2023 · This tutorial explains how to select rows by index in a PySpark DataFrame, including an example. Feb 26, 2025 · In Polars, the count() function is used to count the number of non-null values in each column of a DataFrame. Jun 19, 2017 · The source code of pyspark. rdd. Mar 15, 2017 · I have a dataframe with 15 columns (4 categorical and the rest numeric). Now let‘s dive into the various methods for getting row counts using PySpark‘s handy count() function. columns) to get the number of columns (count of columns) from the DataFrame. functions seemed to have the only documentation I could really find enumerating these names — if others know of some public docs I'd be delighted. It stores statistics so count results are fast (in seconds). Whenever we upload any file in the Pyspark, it creates a partition of that data equal to the number of cores. How can I check which rows in it are Numeric. count() is enough, because you have selected distinct ticket_id in the lines above. Oct 6, 2023 · This tutorial explains how to find unique values in a column of a PySpark DataFrame, including several examples. Return the number of rows in the DataFrame. Syntax: df. count() → int ¶ Returns the number of rows in this DataFrame. Thus, after partitioning, if he wants to know how Jun 29, 2021 · In this article, we will discuss how to count rows based on conditions in Pyspark dataframe. Nov 11, 2024 · DataFrame. The 2nd parameter will take care of displaying full column contents since the value is set as False. 0. Created using Sphinx 4. Sep 28, 2018 · Pyspark dataframe: Count elements in array or list Asked 7 years, 2 months ago Modified 4 years ago Viewed 38k times Oct 31, 2023 · This tutorial explains how to count the number of values in a column that meet a condition in PySpark, including an example. Create the dataframe for demonstration: Apr 17, 2025 · How to Group By a Column and Count the Rows in a PySpark DataFrame: The Ultimate Guide Introduction: Why Group By and Count Matters in PySpark Grouping by a column and counting rows is a cornerstone operation for data engineers and analysts using Apache Spark in ETL pipelines, data analysis, or reporting. isEmpty() There are two types of operations in spark: actions and transformations. The fields in it can be accessed: like attributes (row. Jul 18, 2021 · Output: Method 1: Using collect () This is used to get the all row's data from the dataframe in list format. It does not take any parameters, such as column names. first, Dataframe. This tutorial will explain (with examples) how to generate sequence number using row_number and monotonically_increasing_id functions Dec 12, 2018 · I have a PySpark Dataframe with a column of strings. Syntax: dataframe. Mar 27, 2024 · Similar to Python Pandas you can get the Size and Shape of the PySpark (Spark with Python) DataFrame by running count() action to get the number of rows on DataFrame and len(df. Under the hood, Spark will optimize the execution of this query. axes Oct 14, 2021 · Is there any way to get the current number of partitions of a DataFrame? I checked the DataFrame javadoc (spark 1. Introduction to PySpark DataFrame Filtering PySpark filter() function is used to create a new DataFrame by filtering the elements from an existing DataFrame based on the given condition or SQL expression. of records in each partition on driver side when Spark job is submitted with deploy mode as a yarn cluster in order Aug 19, 2025 · 1. g. Returns the number of rows in a SparkDataFrame# S4 method for class 'SparkDataFrame' count (x) # S4 method for class 'SparkDataFrame' nrow(x) Jun 25, 2021 · pyspark: count number of rows written Asked 4 years, 5 months ago Modified 1 year, 9 months ago Viewed 3k times Apr 17, 2025 · This comprehensive guide explores the syntax and steps for identifying null values in a PySpark DataFrame, with targeted examples covering column-level null counts, row-level null filtering, grouped null analysis, nested data checks, and SQL-based approaches. 2 Asked 7 years, 1 month ago Modified 1 year, 11 months ago Viewed 63k times pyspark. May 12, 2024 · How do I filter rows with null values in a PySpark DataFrame? We can filter rows with null values in a PySpark DataFrame using the filter method and the isnull() function. Mar 27, 2024 · In PySpark DataFrame you can calculate the count of Null, None, NaN or Empty/Blank values in a column by using isNull() of Column class & SQL functions isnan() count() and when (). All transformations in Spark are lazy, they do not compute their results right away. count() with examples and expected outputs. Count Operation in PySpark DataFrames: A Comprehensive Guide PySpark’s DataFrame API is a powerful tool for big data processing, and the count operation is a key method for determining the total number of rows in a DataFrame, returning an integer value. Nov 7, 2023 · This tutorial explains how to count the number of duplicate rows in a PySpark DataFrame, including an example. sql import HiveContext from pyspark. Now I want to find the number of variables in my new datafr Nov 7, 2024 · In data processing and analysis with PySpark, it's often important to know the structure of your data, such as the number of rows and columns in a DataFrame. Feb 28, 2018 · Can I just check my pyspark understanding here: the lambda function here is all in spark, so this never has to create a user defined python function, with the associated slow downs. e. Correct? This looks very handy. key) like dictionary values (row[key]) key in row will search through row keys. 13. We’ll tackle key errors to keep your pipelines robust. The user can repartition that data and divide it into as many partitions as he wants. shape property returns the rows and columns, for rows get it from the first index which is zero; like df. 6) and didn't found a method for that, or am I just missed it? (In case of JavaRDD Obviously new to Pandas. types Mar 27, 2021 · PySpark provides map (), mapPartitions () to loop/iterate through rows in RDD/DataFrame to perform the complex transformations, and these two return the same number of rows/records as in the original DataFrame but, the number of columns could be different (after transformation, for example, add/update). Say my dataframe has 70,000 rows, how can I split it into separate dataframes, each with a max row count of 50,000? The Oct 29, 2018 · Creating a row number of each row in PySpark DataFrame using row_number () function with Spark version 2. I have created dummy variables for every categorical variable. DataFrame. Jul 23, 2025 · In this article, we will discuss how to iterate rows and columns in PySpark dataframe. May 9, 2024 · Hey guys, I am having a very large dataset as multiple parquets (like around 20,000 small files) which I am reading into a pyspark dataframe. For instance Nov 11, 2024 · DataFrame. In this exercise, we will learn about counting rows in DataFrame in Pyspark. count and provide examples of how it can be used effectively in various data engineering workflows. In this article I will explain how to use Row class on RDD, DataFrame and its functions. df. May 1, 2018 · Is there a simple and efficient way to check a python dataframe just for duplicates (not drop them) based on column(s)? I want to check if a dataframe has dups based on a combination of columns an Oct 23, 2023 · This tutorial explains how to find duplicates in a PySpark DataFrame, including examples. For finding the number of rows and number of columns we will use count () and columns () with len () function respectively. Mar 27, 2024 · In PySpark Row class is available by importing pyspark. Apr 17, 2025 · This guide dives into the syntax and steps for counting rows in a PySpark DataFrame, with examples covering essential scenarios. . Example 1: limit () function was used to restrict number of rows to 2 in the below example. This approach provides a simple and readable syntax for getting overall row counts from a PySpark DataFrame. Feb 7, 2012 · 3 Just get your dataframe's rdd and check if it is empty: df. If you can live without exact count then you can use Dataframe. Examples Jan 26, 2021 · If you need exact count then use parquet or delta lake format to store the data. Oct 23, 2023 · This tutorial explains how to find duplicates in a PySpark DataFrame, including examples. Row can be used to create a row object by using named arguments. name. This is crucial for various operations, including data validation, transformations, and general exploration. May 13, 2024 · How to get the number of rows and columns from PySpark DataFrame? You can use the PySpark count () function to get the number of rows (count of rows) and use len (df. In this article, I will explain how to get the count of Null, None, NaN, empty or blank values from all or multiple selected columns of PySpark DataFrame. Apr 17, 2025 · How to Filter Duplicate Rows in a PySpark DataFrame: The Ultimate Guide Diving Straight into Filtering Duplicate Rows in a PySpark DataFrame Duplicate rows in a dataset can skew analyses, inflate storage costs, and complicate ETL pipelines. Apr 1, 2016 · for row in df. 3. name). sql. Row which is represented as a record/row in DataFrame, one can create a Row object by using named arguments, or create a custom Row like class. Built with the PyData Sphinx Theme 0. For this, we are going to use these methods: Using where () function. Also it returns an integer - you can't call distinct on an integer. When using collect(), there is a trade off - e. count is a crucial one that helps data engineers and analysts count the number of rows in a DataFrame. axes () Method axes() method in pandas allows to get the number of rows and columns in a go. Spark Count is an action that results in the number of rows available in Among the many functions and methods that PySpark offers, pyspark. Using filter () function. isNotNull() similarly for non-nan values ~isnan(df. It does not return the total number of rows but instead counts non-null values per column. Let’s see these two ways with examples. Nov 3, 2023 · This tutorial explains how to get the last row from a PySpark DataFrame, including an example. Dec 28, 2020 · Just doing df_ua. columns()) to get the number of columns. number of partitions in target dataframe will be different than the original dataframe partitions. In this article, we will learn about the syntax and implementation of few such functions. count() method is used to use the count of the DataFrame. This technique helps summarize data, uncover patterns, or validate datasets. Thereby we keep or get duplicate rows in pyspark. countDistinct() is a SQL function that could be used to get the count distinct of the selected multiple columns. We can also assign a flag which indicates the duplicate records which is nothing but flagging duplicate row or getting indices of the duplicate rows in pyspark there by check if duplicate row is present Get Duplicate rows in pyspark using groupby count function – Keep or extract duplicate records. pyspark. count() returns the number of rows in the dataframe. Null values are automatically excluded, making it a fast and efficient method for computing counts. Get Size and Shape of the dataframe: In order to get the number of rows and number of column in pyspark we will be using functions like count () function and length () function. Feb 1, 2018 · I have requirement where i need to count number of duplicate rows in SparkSQL for Hive tables. shape[1]. shape[0] and for columns count, you can get it from df. you can loop over rows but the data might not fit into local memory anymore or computations might take much much more time. Creating Dataframe for demonstration: PySpark: Dataframe Duplicates This tutorial will explain how to find and remove duplicate data /rows from a dataframe with examples using distinct and dropDuplicates functions. Alternatively, to find the number of rows that exist in a DataFrame, you can use DataFrame.