php float calculation 2 decimal point - php

Got a math calculation problem.
$a = 34.56
$b = 34.55
$a do some calculation to get this figure
$b is doing rounding to the nearest 0.05 to get this figure
what happens is
$c = $b - $a
supposedly it be -0.01, but I echo out the $c, which shows -0.00988888888888
I try to use number_format($c, 2), but the output is 0.00,
how can I make sure $a and $b is exactly 2 decimals, no hidden number at the back.
in my php knowledge, number_format is only able to format the display, but the value is not really 2 decimal,
I hope I can get help from here. This really frustrated me.

Try sprintf("%.2f", $c);
Floating point numbers are represented in IEEE notation based on the powers of 2, so terminating decimal numbers may not be a terminating binary number, that's why you get the trailing digits.
As suggested by Variable Length Coder, if you know the precision you want and it doesn't change (e.g. when you're dealing with money) it might be better to just use fixed point numbers i.e. express the numbers as cents rather than dollars
$a = 3456;
$b = 3455;
$c = $b - $a;
sprintf ("%.2f", $c/100.0);
This way, you won't have any rounding errors if you do a lot of calculations before printing.

Use round():
$c = round($b - $a, 2);
Note: you can also choose the rounding mode as appropriate.
Edit: Ok I don't get what sprintf() is doing that number_format() isn't:
$c = number_format($b - $a, 2);
vs
$c = sprintf("%.2f", $b - $a);
?

You can very neatly sidestep all of these issues simply by using the bcmath library.
Just remember to read the documentation and be careful whether you are passing arguments as strings or as numeric datatypes.

You've run into one of the traps of floating point numbers; that they cannot always represent exact decimal fractions. If you want exact decimal values, you're better off using integers and then dividing by the precision you want at the end.
For example, if you're doing calculations in floats represeting Dollars (or your favorite currency), you may want to actually do your calculations in integer cents.

Native Calculation:
$a = 34.56;
$b = 34.55;
$c = $b - $a; // -0.010000000000005
Works as expected (! use always BC functions for real number calculations, the issue is for all C based platforms):
$a = '34.56';
$b = '34.55';
$c = bcsub($b, $a, 4); // -0.0100

I also ran into this issue recently when doing calculations with floats. For example, I had 2 floats that when subtracted and formatted, the value was -0.00.
$floatOne = 267.58;
$floatTwo = 267.58;
$result = number_format($floatOne - floatTwo, 2);
print $result; //printed a string -0.00
What I did was:
$result = abs($floatOne - $floatTwo);// Made the number positive
print money_format('%i', $result); // printed the desired precision 0.00
In my solution I know that floatOne will never be less than floatTwo.
The money_format function is only defined if the system has strfmon capabilities, Windows does not.

If still somebody reach this page with similar problems where floating number subtraction causes error or strange values.
I want to explain this problem with a bit more details. The culprit is the floating point numbers.
And different operating systems and different versions of programming languages can behave differently.
To illustrate the problem, I will explain why with a simple example below.
It is not directly related to PHP and it is not a bug.
However, every programmer should be aware of this issue.
This problem even took many lives two decades ago.
On 25 February 1991 this problem in floating number calculation in a MIM-104 Patriot missile battery prevented it intercepting an incoming Scud missile in Dhahran, Saudi Arabia, contributing to the death of 28 soldiers from the U.S. Army's 14th Quartermaster Detachment.
But why it happens?
The reason is that floating point values represent a limited precision. So, a value might
not have the same string representation after any processing. It also
includes writing a floating point value in your script and directly
printing it without any mathematical operations.
Just a simple example:
$a = '36';
$b = '-35.99';
echo ($a + $b);
You would expect it to print 0.01, right?
But it will print a very strange answer like 0.009999999999998
Like other numbers, floating point numbers double or float is stored in memory as a string of 0's and 1's. How floating point differs from integer is in how we interpret the 0's and 1's when we want to look at them. There are many standards how they are stored.
Floating-point numbers are typically packed into a computer datum as the sign bit, the exponent field, and the significand or mantissa, from left to right....
Decimal numbers are not well represented in binary due to lack of enough space. So, uou can't express 1/3 exactly as it's 0.3333333..., right? Why we can't represent 0.01 as a binary float number is for the same reason. 1/100 is 0.00000010100011110101110000..... with a repeating 10100011110101110000.
If 0.01 is kept in simplified and system-truncated form of 01000111101011100001010 in binary,when it is translated back to decimal, it would be read like 0.0099999.... depending on system (64bit computers will give you much better precision than 32-bits). Operating system decides in this case whether to print it as it sees or how to make it in more human-readable way. So, it is machine-dependent how they want to represent it. But it can be protected in language level with different methods.
If you format the result, echo number_format(0.009999999999998, 2); it will print 0.01.
It is because in this case you instruct how it should be read and how precision you require.

Now you can use this 'round' function to get 2 decimal values.
$a = '34.5638';
$b = round($a,2)
34.56 // result

Related

How are floating point operations handled in php

I'm aware of the errors with loss of precision that can happen with floating point errors. But I'm not really sure of when and how it's using floating point representations. I feel like my question is best represented by the following shell session:
php > $a = 819.94 - 61.67;
php > $b = 758.27;
php > echo $a;
758.27
php > echo $b;
758.27
php > echo $a == $b;
php > echo (string)$a == (string)$b;
1
php > var_dump($a);
double(758.27)
php > var_dump($b);
double(758.27)
How is this even possible?
Specifically, how are the string representations being determined? == is supposed to be typeless compare. I don't see how casting before comparing should change the values at all.
Also, the var_dumps are showing me an identical value. It doesn't seem unreasonable for me to expect that if the value returned by 2 var_dumps are identical, that the 2 values should be equal.
Two base facts:
Numbers in one base do not necessarily have an exact representation in another base.
Floating point numbers are specifically designed to lose precision in order to accomplish wider ranges.
So when you have a base 2 IEEE floating point number ($b = 758.27) and you want to convert it to a finite base 10 representation ((string)$b) it's obvious that you have to implement some rules.
In PHP, one of the rules is to only display up to precision digits:
precision integer
The number of significant digits displayed in floating point numbers. -1 means that an enhanced algorithm for rounding such numbers
will be used.
var_dump(ini_get('precision'), 758.27, 819.94 - 61.67);
ini_set('precision', 20);
var_dump(ini_get('precision'), 758.27, 819.94 - 61.67);
string(2) "14"
float(758.27)
float(758.27)
string(2) "20"
float(758.26999999999998181)
float(758.2700000000000955)

PHP float calculation error when subtracting

I have a very strange issue. If I subtract 2 float vars where one is the result of a mathematical operation I get a wrong value.
Example:
var_dump($remaining);
var_dump($this->hours_sub['personal']);
echo $remaining-$this->hours_sub['personal'];
This it the output:
float 5.4
float 1.4
5.3290705182008E-15
5.4-1.4 should be 4
If I add the two values the result is correct.
Where is my mistake?
It can not be a rounding issue.
If still somebody hits this page with similar problems where floating number subtraction causes error or strange values.
Below I will explain this problem with a bit more details.
It is not directly related to PHP and it is not a bug.
However, every programmer should be aware of this issue.
This problem even took many lives two decades ago.
On 25 February 1991 an incorrect floating-point arithmetic (called rounding error) in a MIM-104 Patriot missile battery prevented it from intercepting an incoming Scud missile in Dhahran, Saudi Arabia, killing 28 soldiers and injuring near 100 servicemen from the U.S. Army's 14th Quartermaster Detachment.
But why it happens?
The reason is that floating point values represent a limited precision. So, a value might
not have the same string representation after any processing (chopped off). It also
includes writing a floating point value in your script and directly
printing it without any mathematical operations.
Just a simple example:
$a = '36';
$b = '-35.99';
echo ($a + $b);
You would expect it to print 0.01, right?
But it will print a very strange answer like 0.009999999999998
Like other numbers, floating point numbers double or float is stored in memory as a string of 0's and 1's. How floating point differs from integer is in how we interpret the 0's and 1's when we want to look at them. There are many standards how they are stored.
Floating-point numbers are typically packed into a computer datum as the sign bit, the exponent field, and the significand or mantissa, from left to right....
Decimal numbers are not well represented in binary due to lack of enough space. So, you can't express 1/3 exactly as it's 0.3333333..., right? Why we can't represent 0.01 as a binary float number is for the same reason. 1/100 is 0.00000010100011110101110000..... with a repeating 10100011110101110000.
If 0.01 is kept in simplified and system-truncated form of 01000111101011100001010 in binary, when it is translated back to decimal, it would be read like 0.0099999.... depending on system (64bit computers will give you much better precision than 32-bits). Operating system decides in this case whether to print it as it sees or how to make it in more human-readable way. So, it is machine-dependent how they want to represent it. But it can be protected in language level with different methods.
If you format the result using
echo number_format(0.009999999999998, 2);
it will print 0.01.
It is because in this case you instruct how it should be read and how precision you require.
Note number_format() is not the only function, a few other functions and ways can be used to tell the programming language about the precision expectation.
References:
https://sdqweb.ipd.kit.edu/publications/pdfs/saglam2016a.pdf
https://en.wikipedia.org/wiki/Round-off_error
This worked for me:
<?php
$a = 96.35;
$b = 96.01;
$c = ( ( floor($a * 100) - floor($b * 100) ) / 100 );
echo $c; // should see 0.34 exactly instead of 0.33999999999999
?>
Since the problem occurs with floating point subtraction operation I decided to eliminate that by transforming it into an integer operation, then backing up the result into a floating point again.
I much prefer that solution because basically it does prevent the error on calculation rather than rouding up the result with other functions.
In addition to using number_format(), there are three other ways to obtain the correct result. One involves doing a little math, as follows:
<?php
$a = '36';
$b = '-35.99';
$a *= 100;
$b *= 100;
echo (($a + $b)/100),"\n";
See demo
Or, you could simply use printf():
<?php
$a = '36';
$b = '-35.99';
printf("\n%.2f",($a+$b));
See demo
Note, without the precision specifier, the printf() result will contain trailing zero decimals, as follows: 0.010000
You also could also utilize the BC Math function bcadd(), as follows:
<?php
$a = '36';
$b = '-35.99';
echo "\n",bcadd($a,$b,2);
See demo
I wrote a simple function to deal with this.
It works similarly to the bcadd function from the bcmath extension of php.
You pass it 2 decimal numbers in string form, $a and $b, and specify how many decimals should be used which must match the number of decimals in both $a and $b.
As you can see it will use integers to do the math, then convert back to string without using floating point operations at any point.
function decimalAdd($a,$b,$numDecimals=2) {
$intSum=(int)str_replace(".","",$a)+(int)str_replace(".","",$b);
$paddedIntSum=str_pad(abs($intSum),$numDecimals,0,STR_PAD_LEFT);
$result=($intSum<0?"-":"").($intSum<100&&$intSum>-100?"0":"").substr_replace($paddedIntSum,".",-$numDecimals,0);
return $result;
}
Sample usage:
echo decimalAdd("36.00","-35.99");
0.01

PHP anomaly/ weird behaviour

When I run:
for($o=1;$o<=655;$o++){
$r = $r+0.01;
echo $r." ";}
at some point I get:
...4.29 4.3 4.31 4.32 4.33 4.34 4.35 4.36 4.37 4.38 4.39 4.4
4.41 4.42 4.4299999999999 4.4399999999999 4.4499999999999
4.4599999999999 4.4699999999999 ...
But when I run:
for($o=1;$o<=5;$o+=0.01){
echo $o." ";
}
anomaly starts at:
4.34 4.35 4.36 4.37 4.38 4.3899999999999 4.3999999999999
Why is there a difference between the addition being part of the for loop, or within the for loop?
Welcome to the wonders of rounding errors.
0.01 is not exactly expressible as a finite binary fraction, so you'll pick up rounding errors eventually if you add it repeatedly to another floating point number.
The specific point at which you see the rounding error depends on how the binary expansion of the numbers involved play out to produce the rounding error.
Floating point math can't represent the values exactly. See here.
When the numeral “.01” is converted to 64-bit IEEE 754 binary floating point, the result is 0.010000000000000000208166817117216851329430937767028809. When $r is set to 0, and this approximation of .01 is added to it 100 times, the result is 1.0000000000000006661338147750939242541790008544921875, due to additional rounding errors during the additions.
Now consider that $r is further incremented from this value slightly over 1, while $o is incremented from its starting value of exactly 1. First, since $r and $o start with different values, they will generally have different values later. Second, because they are different, as the increment is added to each of them, they encounter different errors from rounding in the additions. This errors can happen to reinforce or to cancel, causing $r or $o to be more or less different.
Finally, PHP has some criterion for deciding whether to print a number with two decimal points or more. Presumably, at some point the value of $r or of $o is sufficiently far away from the nearest numeral with two decimal points that PHP decides it should print more digits. As explained above, this happens at different times for $r and $o.
You can use the Round() function. Here is a link to it:
http://php.net/manual/en/function.round.php

Strange addition of numeric strings in PHP

I'm adding together two numerical strings $a and $b and then comparing the result against another numerical string $c. All three numbers are stored as strings, and being converted to floats by PHP at the comparison step.
For some reason, the test $a+$b == $c does not evaluate as true, even though it should.
You can recreate the problem with this script:
<?php
$a = "-111.11";
$b = "-22.22";
$c = "-133.33";
echo '$a is '.$a."\n";
echo '$b is '.$b."\n";
echo '$c is '.$c."\n";
echo '$a + $b is '.($a+$b). "\n";
if ($a + $b == $c) {
echo 'a + b equals c'."\n";
} else {
echo 'a + b does not equal c'."\n";
}
?>
Weirdly, if I change the values slightly so that $a=-111.11, $b=-22.23 and $c=-133.34 it works as expected.
Am I missing something obvious, or is this a bug with PHP?
From the large red box on this page: http://php.net/manual/en/language.types.float.php
never compare floating point numbers for equality.
Basically, you're not getting the correct numbers, because they are saved in a slightly different format, so when you compare, it gets screwed.
That link of #Corbin is really good, So I'm adding it just for the love :)
http://docs.oracle.com/cd/E19957-01/806-3568/ncg_goldberg.html
What Every Computer Scientist Should Know About Floating-Point Arithmetic
This paper presents a tutorial on those aspects of floating-point that
have a direct impact on designers of computer systems. It begins with
background on floating-point representation and rounding error,
continues with a discussion of the IEEE floating-point standard, and
concludes with numerous examples of how computer builders can better
support floating-point.
You're running into a limitation of floating point arithmetic. Just as there are certain numbers you can't represent exactly in decimal (1/3 for instance), so there are certain numbers you can't represent exactly in floating point binary.
You should never try and compare floating point numbers for equality, as the limitations of floating point make it unlikely that the variables you're comparing have an actual value that matches exactly the value you think they have. You need to add a "fudge factor", that is if the two numbers are similar to within a certain tolerance, then you should consider them to be equal.
You can do this by subtracting one number from another and seeing if the absolute result is below your threshold (in my example, 0.01):
if (abs ($someFloatingPointNumber - $someOtherFloatingPointNumber) <= 0.01)
{
// The values are close enough to be considered equal
}
Of course, this combined with rounding errors that can creep in with successive mathematical operations mean that floating point numbers are often not the best choice anyway, and should be avoided where possible. For example, if you're dealing with currency, store your values as integers in the minor unit (pennies for GBP, cents for USD, etc), and only convert to the major unit by dividing by 100 for display.
Do your number have always two decimal positions?
If so, you can try this:
$aDec = round($a * 100);
$bDec = round($b * 100);
$cDec = round($c * 100);
if ($aDec + $bDec == $cDec) {
...
}

php intval() and floor() return value that is too low?

Because the float data type in PHP is inaccurate, and a FLOAT in MySQL takes up more space than an INT (and is inaccurate), I always store prices as INTs, multipling by 100 before storing to ensure we have exactly 2 decimal places of precision. However I believe PHP is misbehaving. Example code:
echo "<pre>";
$price = "1.15";
echo "Price = ";
var_dump($price);
$price_corrected = $price*100;
echo "Corrected price = ";
var_dump($price_corrected);
$price_int = intval(floor($price_corrected));
echo "Integer price = ";
var_dump($price_int);
echo "</pre>";
Produced output:
Price = string(4) "1.15"
Corrected price = float(115)
Integer price = int(114)
I was surprised. When the final result was lower than expected by 1, I was expecting the output of my test to look more like:
Price = string(4) "1.15"
Corrected price = float(114.999999999)
Integer price = int(114)
which would demonstrate the inaccuracy of the float type. But why is floor(115) returning 114??
Try this as a quick fix:
$price_int = intval(floor($price_corrected + 0.5));
The problem you are experiencing is not PHP's fault, all programming languages using real numbers with floating point arithmetics have similar issues.
The general rule of thumb for monetary calculations is to never use floats (neither in the database nor in your script). You can avoid all kinds of problems by always storing the cents instead of dollars. The cents are integers, and you can freely add them together, and multiply by other integers. Whenever you display the number, make sure you insert a dot in front of the last two digits.
The reason why you are getting 114 instead of 115 is that floor rounds down, towards the nearest integer, thus floor(114.999999999) becomes 114. The more interesting question is why 1.15 * 100 is 114.999999999 instead of 115. The reason for that is that 1.15 is not exactly 115/100, but it is a very little less, so if you multiply by 100, you get a number a tiny bit smaller than 115.
Here is a more detailed explanation what echo 1.15 * 100; does:
It parses 1.15 to a binary floating point number. This involves rounding, it happens to round down a little bit to get the binary floating point number nearest to 1.15. The reason why you cannot get an exact number (without rounding error) is that 1.15 has infinite number of numerals in base 2.
It parses 100 to a binary floating point number. This involves rounding, but since 100 is a small integer, the rounding error is zero.
It computes the product of the previous two numbers. This also involves a little rounding, to find the nearest binary floating point number. The rounding error happens to be zero in this operation.
It converts the binary floating point number to a base 10 decimal number with a dot, and prints this representation. This also involves a little rounding.
The reason why PHP prints the surprising Corrected price = float(115) (instead of 114.999...) is that var_dump doesn't print the exact number (!), but it prints the number rounded to n - 2 (or n - 1) digits, where n digits is the precision of the calculation. You can easily verify this:
echo 1.15 * 100; # this prints 115
printf("%.30f", 1.15 * 100); # you 114.999....
echo 1.15 * 100 == 115.0 ? "same" : "different"; # this prints `different'
echo 1.15 * 100 < 115.0 ? "less" : "not-less"; # this prints `less'
If you are printing floats, remember: you don't always see all digits when you print the float.
See also the big warning near the beginning of the PHP float docs.
The other answers have covered the cause and a good workaround to the problem, I believe.
To aim at fixing the problem from a different angle:
For storing price values in MySQL, you should probably look at the DECIMAL type, which lets you store exact values with decimal places.
Maybe it's another possible solution for this "problem":
intval(number_format($problematic_float, 0, '', ''));
PHP is doing rounding based on significant digits. It's hiding the inaccuracy (on line 2). Of course, when floor comes along, it doesn't know any better and lops it all the way down.
As stated this is not a problem with PHP per se, It is more of an issue of handling fractions that can't be expressed as finite floating point values hence leading to loss of character when rounding up.
The solution is to ensure that when you are working on floating point values and you need to maintain accuracy - use the gmp functions or the BC maths functions - bcpow, bcmul et al. and the problem will be resolved easily.
E.g instead of
$price_corrected = $price*100;
use $price_corrected = bcmul($price,100);

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