In PySpark,fillna() from DataFrame class or fill() from DataFrameNaFunctions is used to replace NULL/None values on all or selected multiple columns with either zero(0), empty string, space, or any constant lit
fill关键字的用法 Replace null values, alias for na.fill(). DataFrame.fillna() and DataFrameNaFunctions.fill() are aliases of each other. Parameters value –
You can also replace column values from thepython dictionary (map). In the below example, we replace the string value of thestatecolumn with the full abbreviated name from a dictionarykey-value pair, in order to do so I usePySpark map() transformation to loop through each row of DataFrame....
转载:[Reprint]:https://sparkbyexamples.com/pyspark/pyspark-replace-column-values/#:~:text=By using PySpark SQL function regexp_replace () you,value with Road string on address column. 2. 1.Create DataFrame frompyspark.sqlimportSparkSession spark = SparkSession.builder.master("local[1]").app...
Handling missing or null values:regexp_replacecan be used to handle missing or null values in your data. You can use it to replace null values with a default value or to remove rows with missing values based on a specific pattern.
util.*; public class GFG { // Main method public static void main(String[] args) { // Create a HashMap and add some values HashMap<String, Integer> map = new HashMap<>(); map.put("a", 100); map.put("b", 300); map.put("c", 300); map.put("d", 400); /...