How do I sort data in pyspark Dataframe?

You can use the Pyspark dataframe orderBy function to order (that is, sort) the data based on one or more columns. The following is the syntax – cols – The column or list of column names to sort by. ascending – Boolean or list of boolean. Use a list for multiple sort orders. By default, it sorts in ascending order.

How to get list of column name and its datatype in pyspark?

Extract List of column name and its datatype in pyspark using printSchema () function we can also get the datatype of single specific column in pyspark. We have used two methods to get list of column name and its data type in Pyspark. We will use the dataframe named df_basket1. To get list of columns in pyspark we use dataframe.columns syntax

What is Dataframe orderby (*cols) in Python?

DataFrame.orderBy(*cols: Union[str, pyspark.sql.column.Column, List[Union[str, pyspark.sql.column.Column]]], **kwargs: Any) → pyspark.sql.dataframe.DataFrame ¶ Returns a new DataFrame sorted by the specified column (s).

How do you sort a Dataframe in SQL Server?

By default, it sorts by ascending order. The above two examples return the same below output, the first one takes the DataFrame column name as a string and the next takes columns in Column type. This table sorted by the first department column and then the state column.

Pyspark dataframe OrderBy list of columns

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I am trying to use OrderBy function in pyspark dataframe before I write into csv but I am not sure to use OrderBy functions if I have a list of columns.

Code:

Cols = ['col1','col2','col3']
df = df.OrderBy(cols,ascending=False)

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