You could use BigDecimal.scale() if you pass the number as a String like this:
BigDecimal a = new BigDecimal("1.31");
System.out.println(a.scale()); //prints 2
BigDecimal b = new BigDecimal("1.310");
System.out.println(b.scale()); //prints 3
but if you already have the number as string you might as well just parse the string with a regex to see how many digits there are:
String[] s = "1.31".split("\\.");
System.out.println(s[s.length - 1].length());
Using BigDecimal might have the advantage that it checks if the string is actually a number; using the string method you have to do it yourself. Also, if you have the numbers as double you can't differentiate between 1.31 and 1.310 (they're exactly the same double) like others have pointed out as well.
You could use BigDecimal.scale() if you pass the number as a String like this:
BigDecimal a = new BigDecimal("1.31");
System.out.println(a.scale()); //prints 2
BigDecimal b = new BigDecimal("1.310");
System.out.println(b.scale()); //prints 3
but if you already have the number as string you might as well just parse the string with a regex to see how many digits there are:
String[] s = "1.31".split("\\.");
System.out.println(s[s.length - 1].length());
Using BigDecimal might have the advantage that it checks if the string is actually a number; using the string method you have to do it yourself. Also, if you have the numbers as double you can't differentiate between 1.31 and 1.310 (they're exactly the same double) like others have pointed out as well.
No.
1.100 and 1.1 are exactly the same value (they are represented exactly the same bit-for-bit in a double).
Therefore you can't ever get that kind of information from a double.
The only thing you can do is to get the minimum number of decimal digits necessary for a decimal number to be parsed into the same double value. And that is as easy as calling Double.toString() and checking how many decimal digits there are.
A double is not always an exact representation. You can only say how many decimal places you would have if you converted it to a String.
double d= 234.12413;
String text = Double.toString(Math.abs(d));
int integerPlaces = text.indexOf('.');
int decimalPlaces = text.length() - integerPlaces - 1;
This will only work for numbers which are not turned into exponent notation. You might consider 1.0 to have one or no decimal places.
Double d = 234.12413;
String[] splitter = d.toString().split("\\.");
splitter[0].length(); // Before Decimal Count
splitter[1].length(); // After Decimal Count
Here's an utility that rounds (instead of truncating) a double to specified number of decimal places.
For example:
round(200.3456, 2); // returns 200.35
Original version; watch out with this
public static double round(double value, int places) {
if (places < 0) throw new IllegalArgumentException();
long factor = (long) Math.pow(10, places);
value = value * factor;
long tmp = Math.round(value);
return (double) tmp / factor;
}
This breaks down badly in corner cases with either a very high number of decimal places (e.g. round(1000.0d, 17)) or large integer part (e.g. round(90080070060.1d, 9)). Thanks to Sloin for pointing this out.
I've been using the above to round "not-too-big" doubles to 2 or 3 decimal places happily for years (for example to clean up time in seconds for logging purposes: 27.987654321987 -> 27.99). But I guess it's best to avoid it, since more reliable ways are readily available, with cleaner code too.
So, use this instead
(Adapted from this answer by Louis Wasserman and this one by Sean Owen.)
public static double round(double value, int places) {
if (places < 0) throw new IllegalArgumentException();
BigDecimal bd = BigDecimal.valueOf(value);
bd = bd.setScale(places, RoundingMode.HALF_UP);
return bd.doubleValue();
}
Note that HALF_UP is the rounding mode "commonly taught at school". Peruse the RoundingMode documentation, if you suspect you need something else such as Bankers’ Rounding.
Of course, if you prefer, you can inline the above into a one-liner:
new BigDecimal(value).setScale(places, RoundingMode.HALF_UP).doubleValue()
And in every case
Always remember that floating point representations using float and double are inexact.
For example, consider these expressions:
999199.1231231235 == 999199.1231231236 // true
1.03 - 0.41 // 0.6200000000000001
For exactness, you want to use BigDecimal. And while at it, use the constructor that takes a String, never the one taking double. For instance, try executing this:
System.out.println(new BigDecimal(1.03).subtract(new BigDecimal(0.41)));
System.out.println(new BigDecimal("1.03").subtract(new BigDecimal("0.41")));
Some excellent further reading on the topic:
- Item 48: "Avoid
floatanddoubleif exact answers are required" in Effective Java (2nd ed) by Joshua Bloch - What Every Programmer Should Know About Floating-Point Arithmetic
If you wanted String formatting instead of (or in addition to) strictly rounding numbers, see the other answers.
Specifically, note that round(200, 0) returns 200.0. If you want to output "200.00", you should first round and then format the result for output (which is perfectly explained in Jesper's answer).
If you just want to print a double with two digits after the decimal point, use something like this:
double value = 200.3456;
System.out.printf("Value: %.2f", value);
If you want to have the result in a String instead of being printed to the console, use String.format() with the same arguments:
String result = String.format("%.2f", value);
Or use class DecimalFormat:
DecimalFormat df = new DecimalFormat("####0.00");
System.out.println("Value: " + df.format(value));
I came across a piece of code in a legacy Java 8 application at work which adds two doubles and gives out a double. I observed that the resulting doubles for various inputs had variable number of digits after the decimal point. Some were very precise with 12 digits after the decimal point and some had merely a digit after the decimal point.
I’m curious to know what factors affect certain doubles to be so very precise and certain doubles not as much.
Examples:
double one = 3880.95; double two = 380.9; Result: 4261.849999999999
double one = 1293.65; double two = 1293.6; Result: 2587.25