So I have a double set to equal 1234, I want to move a decimal place over to make it 12.34
So to do this I multiply .1 to 1234 two times, kinda like this
double x = 1234; for(int i=1;i<=2;i++) { x = x*.1; } System.out.println(x);
This will print the result, "12.340000000000002"
Is there a way, without simply formatting it to two decimal places, to have the double store 12.34 correctly?
Rounding a decimal number to two decimal places is the same as rounding it to the hundredths place, which is the second place to the right of the decimal point. For example, 2.83620364 can be round to two decimal places as 2.84, and 0.7035 can be round to two decimal places as 0.70.
If you use double
or float
, you should use rounding or expect to see some rounding errors. If you can't do this, use BigDecimal
.
The problem you have is that 0.1 is not an exact representation, and by performing the calculation twice, you are compounding that error.
However, 100 can be represented accurately, so try:
double x = 1234; x /= 100; System.out.println(x);
which prints:
12.34
This works because Double.toString(d)
performs a small amount of rounding on your behalf, but it is not much. If you are wondering what it might look like without rounding:
System.out.println(new BigDecimal(0.1)); System.out.println(new BigDecimal(x));
prints:
0.100000000000000005551115123125782702118158340454101562 12.339999999999999857891452847979962825775146484375
In short, rounding is unavoidable for sensible answers in floating point whether you are doing this explicitly or not.
Note: x / 100
and x * 0.01
are not exactly the same when it comes to rounding error. This is because the round error for the first expression depends on the values of x, whereas the 0.01
in the second has a fixed round error.
for(int i=0;i<200;i++) { double d1 = (double) i / 100; double d2 = i * 0.01; if (d1 != d2) System.out.println(d1 + " != "+d2); }
prints
0.35 != 0.35000000000000003 0.41 != 0.41000000000000003 0.47 != 0.47000000000000003 0.57 != 0.5700000000000001 0.69 != 0.6900000000000001 0.7 != 0.7000000000000001 0.82 != 0.8200000000000001 0.83 != 0.8300000000000001 0.94 != 0.9400000000000001 0.95 != 0.9500000000000001 1.13 != 1.1300000000000001 1.14 != 1.1400000000000001 1.15 != 1.1500000000000001 1.38 != 1.3800000000000001 1.39 != 1.3900000000000001 1.4 != 1.4000000000000001 1.63 != 1.6300000000000001 1.64 != 1.6400000000000001 1.65 != 1.6500000000000001 1.66 != 1.6600000000000001 1.88 != 1.8800000000000001 1.89 != 1.8900000000000001 1.9 != 1.9000000000000001 1.91 != 1.9100000000000001
NOTE: This has nothing to do with randomness in your system (or your power supply). This is due to a representation error, which will produce the same outcome every time. The precision of double
is limited and in base 2 rather than base 10, so numbers which can be precisely represented in decimal often cann't be precisely represented in base 2.
No - if you want to store decimal values accurately, use BigDecimal
. double
simply can't represent a number like 0.1 exactly, any more than you can write the value of a third exactly with a finite number of decimal digits.
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