Benchmark: toFixed(2) vs Math.floor method

Script Preparation code:

var numbers = [3.14123123123, 3.33333333333, 5.14170012300, 5.01000000000];

Tests:

toFixed(2)
numbers.map(function(number) { return Number(number.toFixed(2)); });
Math.floor
numbers.map(function(number) { return Math.floor(number * 100) / 100; });

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
toFixed(2)
Math.floor

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 3 months ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36 OPR/112.0.0.0 (Edition Yx 05)

Browser/OS: Opera 112 on Windows

View result in a separate tab

Test name	Executions per second
toFixed(2)	722962.2 Ops/sec
Math.floor	1827665.1 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 2 months ago):

LLMs can make mistakes. Check important info.

Measuring performance in JavaScript microbenchmarks is crucial for optimizing code and identifying areas of improvement.

The provided benchmark, "toFixed(2) vs Math.floor method," tests two different approaches to convert floating-point numbers to integers with two decimal places.

**Approach 1: Using `toFixed(2)`**

This approach uses the built-in `toFixed()` method, which formats a number as a fixed-point number with the specified number of decimals.

```javascript
numbers.map(function(number) {
  return Number(number.toFixed(2));
});
```

Pros:

* Convenient and easy to use
* Most developers are familiar with it

Cons:

* Can be slower than other methods due to string manipulation
* May not perform well for very large numbers or high-precision calculations

**Approach 2: Using `Math.floor()`**

This approach uses the `Math.floor()` method, which returns the largest integer less than or equal to a given number.

```javascript
numbers.map(function(number) {
  return Math.floor(number * 100) / 100;
});
```

Pros:

* Fast and efficient
* Suitable for high-precision calculations and large numbers

Cons:

* Requires more manual effort (multiplying by 100, dividing by 100)
* May not be as convenient to use for some developers

**Library used:**

The `Number()` function is used to convert the string result of `toFixed(2)` to a number.

```javascript
var result = number.toFixed(2);
return Number(result);
```

Pros:

* Convenient and easy to use
* Most modern browsers support it natively

Cons:
None significant, as this is a standard JavaScript feature.

**Special JS feature or syntax:**

The `map()` function is used to apply the conversion function to each element in the array.

```javascript
numbers.map(function(number) {
  // conversion logic here
});
```

This is a built-in method of JavaScript arrays and does not require any special knowledge.

**Other alternatives:**

1. **Using template literals:** Instead of using `toFixed(2)` or string concatenation, you can use template literals to format the number directly.
   ```javascript
numbers.map(function(number) {
  return `${number.toFixed(2)}`;
});
```
   This approach is more modern and efficient.

2. **Using binary search:** For high-precision calculations, you can use a binary search algorithm to find the closest integer to the given number.
   ```javascript
function binSearch(x, i) {
    var y = (x + 0.5);
    if (i === 0 || Math.abs(x - y) < Math.abs(y - x)) return y;
    else return binSearch(y, i-1);
}

numbers.map(function(number) {
  return binSearch(number * 100, 10); // adjust precision as needed
});
```

3. **Using a library like `decimal.js`:** If you need to perform high-precision arithmetic or calculations that require more than the default float support in JavaScript, consider using libraries like `decimal.js`.

Related benchmarks:

toFixed(2) vs Math.floor method (version: 1)

Comparing performance of: toFixed(2) vs Math.floor

Created: 5 years ago by: Registered User

Jump to the latest result

toFixed(2)

Math.floor

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 2 months ago):