Pyspark Unique Values In Column

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Pyspark Unique Values In Column

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Pandas Get Unique Values In Column Spark By Examples

I have a PySpark dataframe with a column URL in it All I want to know is how many distinct values are there I just need the number of total distinct values I have tried the following df select URL distinct show This gives me the list and count of all unique values and I only want to know how many are there overall I need to find the count of unique items in each column of the dataframe. I have written the following code to achieve this but it is getting stuck and taking too much time to execute: count_unique_items=[] for j in range(len(cat_col)): var=cat_col[j] count_unique_items.append(data.select(var).distinct().rdd.map(lambda r:r[0]).count())

How To Count Unique Values In Excel Www vrogue co

Pyspark Unique Values In ColumnYou can use collect_set from functions module to get a column's distinct values.Here, from pyspark.sql import functions as F >>> df1.show() +-----------+ |no_children| +-----------+ | 0| | 3| | 2| | 4| | 1| | 4| +-----------+ >>> df1.select(F.collect_set('no_children').alias('no_children')).first()['no_children'] [0, 1, 2, 3, 4] The easiest way to obtain a list of unique values in a PySpark DataFrame column is to use the distinct function This tutorial provides several examples of how to use this function with the following PySpark DataFrame from pyspark sql import SparkSession spark SparkSession builder getOrCreate define data data A East 11 A

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