64位double可以精确地表示整数+/- 253。

鉴于这一事实,我选择使用双类型作为我所有类型的单一类型,因为我的最大整数是一个无符号的32位数字。

但现在我必须打印这些伪整数,但问题是它们也和实际的双精度数混合在一起。

那么如何在Java中很好地打印这些double呢?

我试过String。format("%f", value),这很接近,除了我得到了很多小值的末尾零。

下面是%f的输出示例

232.00000000
0.18000000000
1237875192.0
4.5800000000
0.00000000
1.23450000

我想要的是:

232
0.18
1237875192
4.58
0
1.2345

当然,我可以写一个函数来修剪这些零,但由于字符串操作,这是大量的性能损失。我能用其他格式的代码做得更好吗?


Tom E.和Jeremy S.的答案是不可接受的,因为他们都任意舍入到小数点后两位。请先理解问题再回答。


请注意字符串。Format (Format, args…)依赖于语言环境(见下面的答案)。


当前回答

我做了一个DoubleFormatter来有效地将大量的double值转换为一个漂亮/像样的字符串:

double horribleNumber = 3598945.141658554548844;
DoubleFormatter df = new DoubleFormatter(4, 6); // 4 = MaxInteger, 6 = MaxDecimal
String beautyDisplay = df.format(horribleNumber);

如果V的整数部分大于MaxInteger =>,则以科学格式(1.2345E+30)显示V。否则,以正常格式(124.45678)显示。 MaxDecimal决定十进制数字的数量(与银行家的四舍五入修剪)

代码如下:

import java.math.RoundingMode;
import java.text.DecimalFormat;
import java.text.DecimalFormatSymbols;
import java.text.NumberFormat;
import java.util.Locale;

import com.google.common.base.Preconditions;
import com.google.common.base.Strings;

/**
 * Convert a double to a beautiful String (US-local):
 *
 * double horribleNumber = 3598945.141658554548844;
 * DoubleFormatter df = new DoubleFormatter(4,6);
 * String beautyDisplay = df.format(horribleNumber);
 * String beautyLabel = df.formatHtml(horribleNumber);
 *
 * Manipulate 3 instances of NumberFormat to efficiently format a great number of double values.
 * (avoid to create an object NumberFormat each call of format()).
 *
 * 3 instances of NumberFormat will be reused to format a value v:
 *
 * if v < EXP_DOWN, uses nfBelow
 * if EXP_DOWN <= v <= EXP_UP, uses nfNormal
 * if EXP_UP < v, uses nfAbove
 *
 * nfBelow, nfNormal and nfAbove will be generated base on the precision_ parameter.
 *
 * @author: DUONG Phu-Hiep
 */
public class DoubleFormatter
{
    private static final double EXP_DOWN = 1.e-3;
    private double EXP_UP; // always = 10^maxInteger
    private int maxInteger_;
    private int maxFraction_;
    private NumberFormat nfBelow_;
    private NumberFormat nfNormal_;
    private NumberFormat nfAbove_;

    private enum NumberFormatKind {Below, Normal, Above}

    public DoubleFormatter(int maxInteger, int maxFraction){
        setPrecision(maxInteger, maxFraction);
    }

    public void setPrecision(int maxInteger, int maxFraction){
        Preconditions.checkArgument(maxFraction>=0);
        Preconditions.checkArgument(maxInteger>0 && maxInteger<17);

        if (maxFraction == maxFraction_ && maxInteger_ == maxInteger) {
            return;
        }

        maxFraction_ = maxFraction;
        maxInteger_ = maxInteger;
        EXP_UP =  Math.pow(10, maxInteger);
        nfBelow_ = createNumberFormat(NumberFormatKind.Below);
        nfNormal_ = createNumberFormat(NumberFormatKind.Normal);
        nfAbove_ = createNumberFormat(NumberFormatKind.Above);
    }

    private NumberFormat createNumberFormat(NumberFormatKind kind) {

        // If you do not use the Guava library, replace it with createSharp(precision);
        final String sharpByPrecision = Strings.repeat("#", maxFraction_);

        NumberFormat f = NumberFormat.getInstance(Locale.US);

        // Apply bankers' rounding:  this is the rounding mode that
        // statistically minimizes cumulative error when applied
        // repeatedly over a sequence of calculations
        f.setRoundingMode(RoundingMode.HALF_EVEN);

        if (f instanceof DecimalFormat) {
            DecimalFormat df = (DecimalFormat) f;
            DecimalFormatSymbols dfs = df.getDecimalFormatSymbols();

            // Set group separator to space instead of comma

            //dfs.setGroupingSeparator(' ');

            // Set Exponent symbol to minus 'e' instead of 'E'
            if (kind == NumberFormatKind.Above) {
                dfs.setExponentSeparator("e+"); //force to display the positive sign in the exponent part
            } else {
                dfs.setExponentSeparator("e");
            }

            df.setDecimalFormatSymbols(dfs);

            // Use exponent format if v is outside of [EXP_DOWN,EXP_UP]

            if (kind == NumberFormatKind.Normal) {
                if (maxFraction_ == 0) {
                    df.applyPattern("#,##0");
                } else {
                    df.applyPattern("#,##0."+sharpByPrecision);
                }
            } else {
                if (maxFraction_ == 0) {
                    df.applyPattern("0E0");
                } else {
                    df.applyPattern("0."+sharpByPrecision+"E0");
                }
            }
        }
        return f;
    }

    public String format(double v) {
        if (Double.isNaN(v)) {
            return "-";
        }
        if (v==0) {
            return "0";
        }
        final double absv = Math.abs(v);

        if (absv<EXP_DOWN) {
            return nfBelow_.format(v);
        }

        if (absv>EXP_UP) {
            return nfAbove_.format(v);
        }

        return nfNormal_.format(v);
    }

    /**
     * Format and higlight the important part (integer part & exponent part)
     */
    public String formatHtml(double v) {
        if (Double.isNaN(v)) {
            return "-";
        }
        return htmlize(format(v));
    }

    /**
     * This is the base alogrithm: create a instance of NumberFormat for the value, then format it. It should
     * not be used to format a great numbers of value
     *
     * We will never use this methode, it is here only to understanding the Algo principal:
     *
     * format v to string. precision_ is numbers of digits after decimal.
     * if EXP_DOWN <= abs(v) <= EXP_UP, display the normal format: 124.45678
     * otherwise display scientist format with: 1.2345e+30
     *
     * pre-condition: precision >= 1
     */
    @Deprecated
    public String formatInefficient(double v) {

        // If you do not use Guava library, replace with createSharp(precision);
        final String sharpByPrecision = Strings.repeat("#", maxFraction_);

        final double absv = Math.abs(v);

        NumberFormat f = NumberFormat.getInstance(Locale.US);

        // Apply bankers' rounding:  this is the rounding mode that
        // statistically minimizes cumulative error when applied
        // repeatedly over a sequence of calculations
        f.setRoundingMode(RoundingMode.HALF_EVEN);

        if (f instanceof DecimalFormat) {
            DecimalFormat df = (DecimalFormat) f;
            DecimalFormatSymbols dfs = df.getDecimalFormatSymbols();

            // Set group separator to space instead of comma

            dfs.setGroupingSeparator(' ');

            // Set Exponent symbol to minus 'e' instead of 'E'

            if (absv>EXP_UP) {
                dfs.setExponentSeparator("e+"); //force to display the positive sign in the exponent part
            } else {
                dfs.setExponentSeparator("e");
            }
            df.setDecimalFormatSymbols(dfs);

            //use exponent format if v is out side of [EXP_DOWN,EXP_UP]

            if (absv<EXP_DOWN || absv>EXP_UP) {
                df.applyPattern("0."+sharpByPrecision+"E0");
            } else {
                df.applyPattern("#,##0."+sharpByPrecision);
            }
        }
        return f.format(v);
    }

    /**
     * Convert "3.1416e+12" to "<b>3</b>.1416e<b>+12</b>"
     * It is a html format of a number which highlight the integer and exponent part
     */
    private static String htmlize(String s) {
        StringBuilder resu = new StringBuilder("<b>");
        int p1 = s.indexOf('.');

        if (p1>0) {
            resu.append(s.substring(0, p1));
            resu.append("</b>");
        } else {
            p1 = 0;
        }

        int p2 = s.lastIndexOf('e');
        if (p2>0) {
            resu.append(s.substring(p1, p2));
            resu.append("<b>");
            resu.append(s.substring(p2, s.length()));
            resu.append("</b>");
        } else {
            resu.append(s.substring(p1, s.length()));
            if (p1==0){
                resu.append("</b>");
            }
        }
        return resu.toString();
    }
}

注意:我使用了Guava库中的两个函数。如果你不使用Guava,你可以自己编码:

/**
 * Equivalent to Strings.repeat("#", n) of the Guava library:
 */
private static String createSharp(int n) {
    StringBuilder sb = new StringBuilder();
    for (int i=0; i<n; i++) {
        sb.append('#');
    }
    return sb.toString();
}

其他回答

String.format("%.2f", value);
if (d == Math.floor(d)) {
    return String.format("%.0f", d); //Format is: 0 places after decimal point
} else {
    return Double.toString(d);
}

更多信息:https://docs.oracle.com/javase/tutorial/java/data/numberformat.html

public static String fmt(double d) {
    String val = Double.toString(d);
    String[] valArray = val.split("\\.");
    long valLong = 0;
    if(valArray.length == 2) {
        valLong = Long.parseLong(valArray[1]);
    }
     if (valLong == 0)
        return String.format("%d", (long) d);
    else
        return String.format("%s", d);
}

我必须使用这个,因为d == (long)d在SonarQube报告中给了我违例。

使用DecimalFormat和setMinimumFractionDigits(0)。

用分组、四舍五入和没有不必要的零(双位数)格式化价格。

规则:

末尾没有零(2.0000 = 2;1.0100000 = 1.01) 一个点后最多两位数(2.010 = 2.01;0.20 = 0.2) 一个点后的第二位数字(1.994 = 1.99;1.995 = 2;1.006 = 1.01;0.0006 -> 0 返回0 (null/-0 = 0) 增加$ (= $56/-$56) 分组(101101.02 = $101,101.02)

更多的例子:

-99.985 = -$99.99 10 = $10 10.00 = $10 20.01000089 = $20.01

它是用Kotlin编写的,作为Double的一个有趣的扩展(因为它在Android中使用),但它可以很容易地转换为Java,因为使用了Java类。

/**
 * 23.0 -> $23
 *
 * 23.1 -> $23.1
 *
 * 23.01 -> $23.01
 *
 * 23.99 -> $23.99
 *
 * 23.999 -> $24
 *
 * -0.0 -> $0
 *
 * -5.00 -> -$5
 *
 * -5.019 -> -$5.02
 */
fun Double?.formatUserAsSum(): String {
    return when {
        this == null || this == 0.0 -> "$0"
        this % 1 == 0.0 -> DecimalFormat("$#,##0;-$#,##0").format(this)
        else -> DecimalFormat("$#,##0.##;-$#,##0.##").format(this)
    }
}

使用方法:

var yourDouble: Double? = -20.00
println(yourDouble.formatUserAsSum()) // will print -$20

yourDouble = null
println(yourDouble.formatUserAsSum()) // will print $0

关于DecimalFormat: https://docs.oracle.com/javase/6/docs/api/java/text/DecimalFormat.html