In this tutorial, we will look at how to drop duplicate rows from a Pyspark dataframe with the help of some examples. How to drop duplicate rows in Pyspark? You can use the Pyspark dropDuplicates() function to drop duplicate rows from a Pyspark dataframe. The following is the syntax – Apply the function on the […]
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In this tutorial, we will look at how to add a new column to Pyspark dataframe with the help of some examples. How to add a new column to a Pyspark dataframe? You can use the Pyspark withColumn() function to add a new column to a Pyspark dataframe. The following is the syntax – Here,
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In this tutorial, we will look at how to drop one or more columns from a Pyspark dataframe with the help of some examples. How to drop Pyspark dataframe columns? You can use the Pyspark drop() function to drop one or more columns from a Pyspark dataframe. Pass the column (or columns) you want to
Drop One or More Columns From Pyspark DataFrame Read More »
In this tutorial, we will look at how to filter data in a Pyspark dataframe with the help of some examples. How to filter data in a Pyspark dataframe? You can use the Pyspark dataframe filter() function to filter the data in the dataframe based on your desired criteria. The following is the syntax –
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In this tutorial, we will look at how to sort a Pyspark dataframe on one or more columns with the help of some examples. How to sort a Pyspark dataframe? You can use the Pyspark sort() function to sort data in a Pyspark dataframe in ascending or descending order. The following is the syntax –
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In this tutorial, we will look at how to get a count of the distinct values in a column of a Pyspark dataframe with the help of examples. How to count unique values in a Pyspark dataframe column? You can use the Pyspark count_distinct() function to get a count of the distinct values in a
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In this tutorial, we will look at how to get the sum of the distinct values in a column of a Pyspark dataframe with the help of examples. How to sum unique values in a Pyspark dataframe column? You can use the Pyspark sum_distinct() function to get the sum of all the distinct values in
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In this tutorial, we will look at how to construct schema for a Pyspark dataframe with the help of Structype() and StructField() in Pyspark. Pyspark Dataframe Schema The schema for a dataframe describes the type of data present in the different columns of the dataframe. Let’s look at an example. Output: Here, we created a
Pyspark DataFrame Schema with StructType() and StructField() Read More »
In this tutorial, we will look at how to print the schema of a Pyspark dataframe with the help of some examples. How to get the schema of a Pyspark dataframe? You can use the printSchema() function in Pyspark to print the schema of a dataframe. It displays the column names along with their types.
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In this tutorial, we will look at how to rename a column in a Pyspark dataframe with the help of some examples. How to rename a Pyspark dataframe column? You can use the Pyspark withColumnRenamed() function to rename a column in a Pyspark dataframe. It takes the old column name and the new column name
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