How to set thousands separator in Java?

How to set thousands separator in Java?

I have String representation开发者_如何学运维 of a BigDecimal that I want to format with a thousands separator and return as String.

You can use format function with ",";

int no = 124750;
String str = String.format("%,d", no);

//str = 124,750

"," includes locale-specific grouping characters.

docs

This should work (untested, based on JavaDoc):

DecimalFormat formatter = (DecimalFormat) NumberFormat.getInstance(Locale.US);
DecimalFormatSymbols symbols = formatter.getDecimalFormatSymbols();

symbols.setGroupingSeparator(' ');
formatter.setDecimalFormatSymbols(symbols);
System.out.println(formatter.format(bd.longValue()));

According to the JavaDoc, the cast in the first line should be save for most locales.

BigDecimal bd = new BigDecimal(300000);

NumberFormat formatter = NumberFormat.getInstance(new Locale("en_US"));

System.out.println(formatter.format(bd.longValue()));

EDIT

To get custom grouping separator such as space, do this:

DecimalFormatSymbols symbols = DecimalFormatSymbols.getInstance();
symbols.setGroupingSeparator(' ');

DecimalFormat formatter = new DecimalFormat("###,###.##", symbols);
System.out.println(formatter.format(bd.longValue()));

If you are using thousand separator for Integer data type use 1.

1. For integer data Type

String.format("%,d\n", 58625)

Output:

58,625

2. For Floating Point data Type

String.format("%,.2f",58625.21)

Output:

58,625.21

try this code to format as used in Brazil:

    DecimalFormat df = new DecimalFormat(
      "#,##0.00", 
      new DecimalFormatSymbols(new Locale("pt", "BR")));

    BigDecimal value = new BigDecimal(123456.00);

    System.out.println(df.format(value.floatValue()));

    // results: "123.456,00"

DecimalFormatSymbols formatSymbols = new DecimalFormatSymbols();
formatSymbols.setDecimalSeparator('|');
formatSymbols.setGroupingSeparator(' ');

String strange = "#,##0.###";
DecimalFormat df = new DecimalFormat(strange, formatSymbols);
df.setGroupingSize(4);

String out = df.format(new BigDecimal(300000).doubleValue());

System.out.println(out);

As mentioned above, the following link gives you the specific country code to allow Java to localize the number. Every country has its own style.

In the link above you will find the country code which should be placed in here:

...(new Locale(<COUNTRY CODE HERE>));

Switzerland for example formats the numbers as follows:

1000.00 --> 1'000.00

country code

To achieve this, following codes works for me:

NumberFormat nf = NumberFormat.getNumberInstance(new Locale("de","CH"));
nf.setMaximumFractionDigits(2);
DecimalFormat df = (DecimalFormat)nf;
System.out.println(df.format(1000.00));

Result is as expected:

1'000.00

public String formatStr(float val) {
 return String.format(Locale.CANADA, "%,.2f", val);
}

formatStr(2524.2) // 2,254.20

The accepted answer has to be really altered otherwise not working. The getDecimalFormatSymbols makes a defensive copy. Thus,

DecimalFormat formatter = (DecimalFormat) NumberFormat.getInstance(Locale.US);
DecimalFormatSymbols symbols = formatter.getDecimalFormatSymbols();

symbols.setGroupingSeparator(' ');
formatter.setDecimalFormatSymbols(symbols);
System.out.println(formatter.format(bd.longValue()));

The new line is this one: formatter.setDecimalFormatSymbols(symbols);

NumberFormat nf = DecimalFormat.getInstance(myLocale);
DecimalFormatSymbols customSymbol = new DecimalFormatSymbols();
customSymbol.setDecimalSeparator(',');
customSymbol.setGroupingSeparator(' ');
((DecimalFormat)nf).setDecimalFormatSymbols(customSymbol);
nf.setGroupingUsed(true);

For decimals:

DecimalFormatSymbols symbols = new DecimalFormatSymbols();
symbols.setGroupingSeparator(' ');
DecimalFormat dfDecimal = new DecimalFormat("###########0.00###");
dfDecimal.setDecimalFormatSymbols(symbols);
dfDecimal.setGroupingSize(3);
dfDecimal.setGroupingUsed(true);
System.out.println(dfDecimal.format(number));

Use underscore (_) to make literal numeric values in the code itself more readable:

int example = 12_004_953; // Twelve million four thousand nine hundred fifty-three