这个函数对我有用。你只需输入数字和你想要舍入的位置，它就可以轻松地完成所需的操作。

round(source, n) {
  let places = Math.pow(10, n);

  return Math.round(source * places) / places;
}

使用类似于以下的方法进行汇总：

num = 519.805;
dp = Math.pow(10, 2);
num = parseFloat(num.toString().concat("1"));
rounded = Math.round((num + Number.EPSILON)* dp)/dp;

因为它会处理在最后只有一个小数点四舍五入的数字。

我的解决方案将输入视为字符串，并使用n位数字的“数学舍入”算法：取n位数字，如果数字n+1等于或大于5，则加1。它还允许指定负数，例如，将123.45舍入为-1的数字为120。它也适用于科学符号（例如1.2e-3）。我没有测量它的速度，我认为这不是最好的表现。

function safeRound( numInput, numPrecision ) {
    const strNumber = numInput.toString().replace( 'E', 'e' );
    const bSign = '+-'.indexOf( strNumber[ 0 ] ) !== -1;
    const strSign = bSign  ?  strNumber[ 0 ]  :  '';
    const numSign = strSign !== '-'  ?  +1  :  -1;
    const ixExponent = ( ixFound => ixFound !== -1  ?  ixFound  :  strNumber.length )( strNumber.indexOf( 'e' ) );
    const strExponent = strNumber.substr( ixExponent + 1 );
    const numExponent = ixExponent !== strNumber.length  ?  Number.parseInt( strExponent )  :  0;
    const ixDecimal = ( ixFound => ixFound !== -1  ?  ixFound  :  ixExponent )( strNumber.indexOf( '.' ) );
    const strInteger = strNumber.substring( !bSign  ?  0  :  1, ixDecimal );
    const strFraction = strNumber.substring( ixDecimal + 1, ixExponent );
    
    const numPrecisionAdjusted = numPrecision + numExponent;
    const strIntegerKeep = strInteger.substring( 0, strInteger.length + Math.min( 0, numPrecisionAdjusted ) ) + '0'.repeat( -Math.min( 0, numPrecisionAdjusted ) );
    const strFractionKeep = strFraction.substring( 0, Math.max( 0, numPrecisionAdjusted ) );
    const strRoundedDown = strSign + ( strIntegerKeep === ''  ?  '0'  :  strIntegerKeep ) + ( strFractionKeep === ''  ?  ''  :  '.' + strFractionKeep ) + ( strExponent === ''  ?  ''  :  'e' + strExponent );
    
    const chRoundUp = 0 <= numPrecisionAdjusted  ?  strFraction.substr( numPrecisionAdjusted, 1 )  :  ( '0' + strInteger ).substr( numPrecisionAdjusted, 1 );
    const bRoundUp = '5' <= chRoundUp && chRoundUp <= '9';
    const numRoundUp = bRoundUp  ?  numSign * Math.pow( 10, -numPrecision )  :  0;
    
    return Number.parseFloat( strRoundedDown ) + numRoundUp;
}

function safeRoundTest( numInput, numPrecision, strExpected ) {
    const strActual = safeRound( numInput, numPrecision ).toString();
    const bPassed = strActual === strExpected;
    console.log( 'numInput', numInput, 'numPrecision', numPrecision, 'strExpected', strExpected, 'strActual', strActual, 'bPassed', bPassed );
    return bPassed  ?  0  :  1;
}

function safeRoundTests() {
    let numFailed = 0;
    numFailed += safeRoundTest( 0, 0, '0' );
    numFailed += safeRoundTest( '0', 0, '0' );
    numFailed += safeRoundTest( '0.1', 0, '0' );
    numFailed += safeRoundTest( '+0.1', 0, '0' );
    numFailed += safeRoundTest( '-0.1', 0, '0' );
    numFailed += safeRoundTest( '0.1', 1, '0.1' );
    numFailed += safeRoundTest( '+0.1', 1, '0.1' );
    numFailed += safeRoundTest( '-0.1', 1, '-0.1' );
    numFailed += safeRoundTest( '0.9', 0, '1' );
    numFailed += safeRoundTest( '+0.9', 0, '1' );
    numFailed += safeRoundTest( '-0.9', 0, '-1' );
    numFailed += safeRoundTest( '0.9', 1, '0.9' );
    numFailed += safeRoundTest( '+0.9', 1, '0.9' );
    numFailed += safeRoundTest( '-0.9', 1, '-0.9' );
    numFailed += safeRoundTest( '0.5', 0, '1' );
    numFailed += safeRoundTest( '+0.5', 0, '1' );
    numFailed += safeRoundTest( '-0.5', 0, '-1' );
    numFailed += safeRoundTest( '0.4999', 0, '0' );
    numFailed += safeRoundTest( '+0.4999', 0, '0' );
    numFailed += safeRoundTest( '-0.4999', 0, '0' );
    numFailed += safeRoundTest( '1.005', 2, '1.01' );
    numFailed += safeRoundTest( '1.00499999999', 2, '1' );
    numFailed += safeRoundTest( '012.3456', -4, '0' );
    numFailed += safeRoundTest( '012.3456', -3, '0' );
    numFailed += safeRoundTest( '012.3456', -2, '0' );
    numFailed += safeRoundTest( '012.3456', -1, '10' );
    numFailed += safeRoundTest( '012.3456', 0, '12' );
    numFailed += safeRoundTest( '012.3456', 1, '12.3' );
    numFailed += safeRoundTest( '012.3456', 2, '12.35' );
    numFailed += safeRoundTest( '012.3456', 3, '12.346' );
    numFailed += safeRoundTest( '012.3456', 4, '12.3456' );
    numFailed += safeRoundTest( '012.3456', 5, '12.3456' );
    numFailed += safeRoundTest( '12.', 0, '12' );
    numFailed += safeRoundTest( '.12', 2, '0.12' );
    numFailed += safeRoundTest( '0e0', 0, '0' );
    numFailed += safeRoundTest( '1.2e3', 0, '1200' );
    numFailed += safeRoundTest( '1.2e+3', 0, '1200' );
    numFailed += safeRoundTest( '1.2e-3', 0, '0' );
    numFailed += safeRoundTest( '1.2e-3', 3, '0.001' );
    numFailed += safeRoundTest( '1.2e-3', 4, '0.0012' );
    numFailed += safeRoundTest( '1.2e-3', 5, '0.0012' );
    numFailed += safeRoundTest( '+12.', 0, '12' );
    numFailed += safeRoundTest( '+.12', 2, '0.12' );
    numFailed += safeRoundTest( '+0e0', 0, '0' );
    numFailed += safeRoundTest( '+1.2e3', 0, '1200' );
    numFailed += safeRoundTest( '+1.2e+3', 0, '1200' );
    numFailed += safeRoundTest( '+1.2e-3', 0, '0' );
    numFailed += safeRoundTest( '+1.2e-3', 3, '0.001' );
    numFailed += safeRoundTest( '+1.2e-3', 4, '0.0012' );
    numFailed += safeRoundTest( '+1.2e-3', 5, '0.0012' );
    numFailed += safeRoundTest( '-12.', 0, '-12' );
    numFailed += safeRoundTest( '-.12', 2, '-0.12' );
    numFailed += safeRoundTest( '-0e0', 0, '0' );
    numFailed += safeRoundTest( '-1.2e3', 0, '-1200' );
    numFailed += safeRoundTest( '-1.2e+3', 0, '-1200' );
    numFailed += safeRoundTest( '-1.2e-3', 0, '0' );
    numFailed += safeRoundTest( '-1.2e-3', 3, '-0.001' );
    numFailed += safeRoundTest( '-1.2e-3', 4, '-0.0012' );
    numFailed += safeRoundTest( '-1.2e-3', 5, '-0.0012' );
    numFailed += safeRoundTest( '9876.543e210', 0, '9.876543e+213' );
    numFailed += safeRoundTest( '9876.543e210', -210, '9.877e+213' );
    numFailed += safeRoundTest( '9876.543e210', -209, '9.8765e+213' );
    numFailed += safeRoundTest( '9876.543e+210', 0, '9.876543e+213' );
    numFailed += safeRoundTest( '9876.543e+210', -210, '9.877e+213' );
    numFailed += safeRoundTest( '9876.543e+210', -209, '9.8765e+213' );
    numFailed += safeRoundTest( '9876.543e-210', 213, '9.876543e-207' );
    numFailed += safeRoundTest( '9876.543e-210', 210, '9.877e-207' );
    numFailed += safeRoundTest( '9876.543e-210', 211, '9.8765e-207' );
    console.log( 'numFailed', numFailed );
}

safeRoundTests();

请参阅AmrAli的答案，以了解此解决方案的所有不同调整的更全面的运行和性能细分。

var DecimalPrecision=（函数）{if（数字.EPSILON===未定义）{Number.EPSILON=数学功率（2，-52）；}if（Number.isInteger==未定义）{Number.isInteger=函数（值）{返回值类型==“number”&&isFinite（值）&&数学下限（值）==值；};}this.isRound=函数（n，p）{设l=n.toString（）.split（'.'）[1].length；返回（p>=l）；}this.round=函数（n，p=2）{if（Number.isInteger（n）|| this.isRound（n，p））返回n；设r=0.5*Number.EPSILON*n；设o＝1；而（p-->0）o*=10；如果（n<0）o*=-1；返回数学舍入（（n+r）*o）/o；}this.ceil=函数（n，p=2）{if（Number.isInteger（n）|| this.isRound（n，p））返回n；设r=0.5*Number.EPSILON*n；设o＝1；而（p-->0）o*=10；返回Math.ceil（（n+r）*o）/o；}this.flor=函数（n，p=2）{if（Number.isInteger（n）|| this.isRound（n，p））返回n；设r=0.5*Number.EPSILON*n；设o＝1；而（p-->0）o*=10；返回数学楼层（（n+r）*o）/o；}返回此；})();console.log（DecimalPrecision.round（1.005））；console.log（DecimalPrecision.ceil（1.005））；console.log（DecimalPrecision.floor（1.005））；console.log（DecimalPrecision.round（1.0049999））；console.log（DecimalPrecision.ceil（1.0049999））；console.log（DecimalPrecision.floor（1.0049999））；console.log（DecimalPrecision.round（2.175495134384,7））；console.log（DecimalPrecision.round（2.1753543549,8））；console.log（DecimalPrecision.round（2.1755465135333,4））；console.log（DecimalPrecision.ceil（17,4））；console.log（DecimalPrecision.ceil（17.1,4））；console.log（DecimalPrecision.ceil（17.1,15））；

对我来说，Math.rround（）没有给出正确的答案。我发现Fixed（2）效果更好。以下是两者的示例：

console.log（数学舍入（43000/80000）*100）；//错误的答案console.log（（（43000/80000）*100）.toFixed（2））；//正确回答

我读过所有的答案，类似问题的答案和最“好”的解决方案的复杂性都让我不满意。我不想放一个大的圆函数集，或者一个小的圆函数，但在科学记数法上失败了。所以，我想出了这个函数。这可能会对我的处境有所帮助：

function round(num, dec) {
   const [sv, ev] = num.toString().split('e');
   return Number(Number(Math.round(parseFloat(sv + 'e' + dec)) + 'e-' + dec) + 'e' + (ev || 0));
}

我没有运行任何性能测试，因为我调用它只是为了更新应用程序的UI。该函数为快速测试提供以下结果：

// 1/3563143 = 2.806510993243886e-7
round(1/3563143, 2)  // returns `2.81e-7`

round(1.31645, 4)    // returns 1.3165

round(-17.3954, 2)   // returns -17.4

这对我来说已经足够了。