Best practices for working with NumberFormat
and DecimalFormat
in Java can significantly streamline the handling of numeric data. These classes help format numbers for output and input, ensuring that your application displays information in a user-friendly way.
Java, NumberFormat, DecimalFormat, Best Practices, Formatting Numbers, Java Programming
// Import necessary classes
import java.text.NumberFormat;
import java.text.DecimalFormat;
import java.util.Locale;
public class NumberFormatExample {
public static void main(String[] args) {
// Creating a NumberFormat instance for default locale
NumberFormat numberFormat = NumberFormat.getInstance();
System.out.println("Formatted number: " + numberFormat.format(12345.678));
// Creating a DecimalFormat instance with a specific pattern
DecimalFormat decimalFormat = new DecimalFormat("#,###.##");
System.out.println("Formatted number with pattern: " + decimalFormat.format(12345.678));
// Setting locale for formatting
NumberFormat euroFormat = NumberFormat.getCurrencyInstance(Locale.FRANCE);
System.out.println("Currency in Euro: " + euroFormat.format(12345.678));
}
}
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?