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The number of distinct values of an attribute (i.e. column) can be important in data analytics, visualization, or modeling. In this short how-to article, we will learn how to find the distinct values in columns of Pandas and PySpark DataFrames.
The unique function returns an array that contains the distinct values in a column whereas the nunique function gives us the number of distinct values.
# distinct values
# number of distinct values
We can see the distinct values in a column using the distinct function as follows:
To count the number of distinct values, PySpark provides a function called countDistinct.
from pyspark.sql import functions as F