Pyspark

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. …

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 …

In this tutorial, we will look at how to get the variance of a column in a Pyspark dataframe with the help of some examples. How to get variance for a Pyspark dataframe column? You can use the variance() function from the pyspark.sql.functions module to compute the variance of a Pyspark column. The following is …

Standard deviation is a descriptive statistic used as a measure of the spread in the data. In this tutorial, we will look at how to get the standard deviation of a column in a Pyspark dataframe with the help of some examples. How to get standard deviation for a Pyspark dataframe column? You can use …

In this article, We will see how to order data in a Pyspark dataframe based on one or more columns with the help of examples. How to order data in a Pyspark dataframe? You can use the Pyspark dataframe orderBy function to order (that is, sort) the data based on one or more columns. The …

In this tutorial, we will look at how to rename the categories in a Pandas category type column (or series) with the help of examples. How to rename categories in Pandas? You can use the Pandas rename_categories() function to rename the categories in a category type column in Pandas. The following is the syntax – …

In this tutorial, we will look at how to use the Pyspark where() function to filter a Pyspark dataframe with the help of some examples. How to filter dataframe in Pyspark? You can use the Pyspark where() method to filter data in a Pyspark dataframe. You can use relational operators, SQL expressions, string functions, lists, …

In this tutorial, we will see different aggregate functions in Pyspark and how to use them on dataframes with the help of examples. How to apply them to Pyspark dataframes? Aggregate functions are used to combine the data using descriptive statistics like count, average, min, max, etc. You can apply aggregate functions to Pyspark dataframes …

In this tutorial, we will look at how to use the Pyspark collect() function to get collect data from a Pyspark dataframe. Collect data from Pyspark dataframe You can use the collect() function to collect data from a Pyspark dataframe as a list of Pyspark dataframe rows. It does not take any parameters but if …

In this tutorial, we will look at how to display a dataframe using the show() method in PySpark with the help of some examples. How to display dataframe in Pyspark? The show() method in Pyspark is used to display the data from a dataframe in a tabular format. The following is the syntax – Here, df …