Filter df when values matches part of a string in pyspark

Filter df when values matches part of a string in pyspark

In PySpark, you can filter a DataFrame based on whether values in a specific column match a part of a string using the LIKE SQL operator along with the expr() function. Here's how you can achieve this:

Assuming you have a DataFrame named df and you want to filter rows where values in the 'column_name' match a specific part of a string:

from pyspark.sql import SparkSession from pyspark.sql.functions import expr # Initialize Spark session spark = SparkSession.builder.appName("StringFilter").getOrCreate() # Create or load your DataFrame data = [('apple',), ('banana',), ('orange',), ('pineapple',)] columns = ['column_name'] df = spark.createDataFrame(data, columns) # Specify the part of the string to match substring_to_match = 'app' # Use the expr() function to filter the DataFrame filtered_df = df.filter(expr(f"column_name LIKE '%{substring_to_match}%'")) # Show the filtered DataFrame filtered_df.show() # Stop the Spark session spark.stop()

Output:

+------------+ | column_name| +------------+ | apple| | pineapple| +------------+

In this example, the expr(f"column_name LIKE '%{substring_to_match}%'") expression uses the LIKE operator to filter rows where the 'column_name' values match the specified part of the string ('app' in this case). The % wildcard characters are used to match any characters before and after the substring you're looking for.

Remember that Spark's expr() function allows you to use SQL-like expressions to filter and manipulate DataFrame columns. The above code demonstrates how to filter rows based on a substring match, but you can extend this approach to other types of string matching and manipulation as needed.

Examples

  1. "Pyspark filter dataframe by partial string match" Description: This query seeks to filter a PySpark DataFrame based on partial string matches.

    from pyspark.sql.functions import col # Filter DataFrame where column 'text_column' contains 'keyword' filtered_df = df.filter(col('text_column').like('%keyword%'))

  2. "How to search for substring in Pyspark DataFrame" Description: This query focuses on searching for substrings within a PySpark DataFrame.

    from pyspark.sql.functions import instr # Filter DataFrame where column 'text_column' contains 'keyword' filtered_df = df.filter(instr(col('text_column'), 'keyword') > 0)

  3. "Pyspark filter DataFrame by string pattern" Description: This query targets filtering a PySpark DataFrame using string patterns.

    from pyspark.sql.functions import regexp_extract # Filter DataFrame where column 'text_column' matches the regex pattern filtered_df = df.filter(regexp_extract(col('text_column'), 'pattern', 0) != '')

  4. "Partial string match filter in Pyspark DataFrame" Description: Users looking to perform partial string matching to filter a PySpark DataFrame may find this query relevant.

    # Filter DataFrame where column 'text_column' contains 'keyword' filtered_df = df.filter(df['text_column'].contains('keyword'))

  5. "How to filter DataFrame in Pyspark using partial string matching" Description: This query is about filtering a PySpark DataFrame with partial string matches.

    # Filter DataFrame where column 'text_column' contains 'keyword' filtered_df = df.filter(df['text_column'].like('%keyword%'))

  6. "Pyspark filter DataFrame by substring" Description: Users searching for how to filter PySpark DataFrames by substrings may find this query relevant.

    # Filter DataFrame where column 'text_column' contains 'keyword' filtered_df = df.filter(df['text_column'].rlike('(?i)keyword'))

  7. "Filtering PySpark DataFrame for partial string matches" Description: This query concerns filtering PySpark DataFrames for partial string matches.

    # Filter DataFrame where column 'text_column' contains 'keyword' filtered_df = df.filter(df['text_column'].like('%keyword%'))

  8. "PySpark filter DataFrame by partial match" Description: Users searching for how to filter PySpark DataFrames with partial matches may use this query.

    from pyspark.sql.functions import expr # Filter DataFrame where column 'text_column' contains 'keyword' filtered_df = df.filter(expr("text_column LIKE '%keyword%'"))

  9. "Filtering PySpark DataFrame for substrings" Description: This query aims to filter PySpark DataFrames for substrings.

    from pyspark.sql.functions import col # Filter DataFrame where column 'text_column' contains 'keyword' filtered_df = df.filter(col('text_column').rlike('keyword'))

  10. "Pyspark DataFrame filter by partial string match" Description: Users seeking to filter PySpark DataFrames by partial string matches may find this query useful.

    # Filter DataFrame where column 'text_column' contains 'keyword' filtered_df = df.filter(df['text_column'].contains('keyword'))

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