没有科学记数法的双向字符串转换

如何在.NET Framework 中将一个 double 转换为浮点字符串表示形式而不需要科学记数法?

“小”样本(有效数字可以是任何大小,例如 1.5E2001e-200) :

3248971234698200000000000000000000000000000000
0.00000000000000000000000000000000000023897356978234562

没有一个 abc0是这样的,而且 abc1似乎也不允许在小数点之后有一个开放数字。

这不是 如何转换为字符串的双重没有权力,以10表示(E-05) 的副本,因为那里给出的答案确实解决了 没有手头的问题。这个问题的公认解决方案是使用一个固定的点(比如20个数字) ,这不是我想要的。固定点格式化和修剪冗余0也不能解决这个问题,因为固定宽度的最大宽度是99个字符。

注意: 解决方案必须正确处理自定义数字格式(例如,其他小数点,取决于文化信息)。

编辑: 这个问题实际上只是关于显示上述数字。我知道浮点数是如何工作的,以及哪些数字可以用它们来使用和计算。

123095 次浏览

This is what I've got so far, seems to work, but maybe someone has a better solution:

private static readonly Regex rxScientific = new Regex(@"^(?<sign>-?)(?<head>\d+)(\.(?<tail>\d*?)0*)?E(?<exponent>[+\-]\d+)$", RegexOptions.IgnoreCase|RegexOptions.ExplicitCapture|RegexOptions.CultureInvariant);


public static string ToFloatingPointString(double value) {
return ToFloatingPointString(value, NumberFormatInfo.CurrentInfo);
}


public static string ToFloatingPointString(double value, NumberFormatInfo formatInfo) {
string result = value.ToString("r", NumberFormatInfo.InvariantInfo);
Match match = rxScientific.Match(result);
if (match.Success) {
Debug.WriteLine("Found scientific format: {0} => [{1}] [{2}] [{3}] [{4}]", result, match.Groups["sign"], match.Groups["head"], match.Groups["tail"], match.Groups["exponent"]);
int exponent = int.Parse(match.Groups["exponent"].Value, NumberStyles.Integer, NumberFormatInfo.InvariantInfo);
StringBuilder builder = new StringBuilder(result.Length+Math.Abs(exponent));
builder.Append(match.Groups["sign"].Value);
if (exponent >= 0) {
builder.Append(match.Groups["head"].Value);
string tail = match.Groups["tail"].Value;
if (exponent < tail.Length) {
builder.Append(tail, 0, exponent);
builder.Append(formatInfo.NumberDecimalSeparator);
builder.Append(tail, exponent, tail.Length-exponent);
} else {
builder.Append(tail);
builder.Append('0', exponent-tail.Length);
}
} else {
builder.Append('0');
builder.Append(formatInfo.NumberDecimalSeparator);
builder.Append('0', (-exponent)-1);
builder.Append(match.Groups["head"].Value);
builder.Append(match.Groups["tail"].Value);
}
result = builder.ToString();
}
return result;
}


// test code
double x = 1.0;
for (int i = 0; i < 200; i++) {
x /= 10;
}
Console.WriteLine(x);
Console.WriteLine(ToFloatingPointString(x));

I could be wrong, but isn't it like this?

data.ToString("n");

http://msdn.microsoft.com/en-us/library/dwhawy9k.aspx

Just to build on what jcasso said what you can do is to adjust your double value by changing the exponent so that your favorite format would do it for you, apply the format, and than pad the result with zeros to compensate for the adjustment.

In the old days when we had to write our own formatters, we'd isolate the mantissa and exponent and format them separately.

In this article by Jon Skeet (https://csharpindepth.com/articles/FloatingPoint) he provides a link to his DoubleConverter.cs routine that should do exactly what you want. Skeet also refers to this at extracting mantissa and exponent from double in c#.

The obligatory Logarithm-based solution. Note that this solution, because it involves doing math, may reduce the accuracy of your number a little bit. Not heavily tested.

private static string DoubleToLongString(double x)
{
int shift = (int)Math.Log10(x);
if (Math.Abs(shift) <= 2)
{
return x.ToString();
}


if (shift < 0)
{
double y = x * Math.Pow(10, -shift);
return "0.".PadRight(-shift + 2, '0') + y.ToString().Substring(2);
}
else
{
double y = x * Math.Pow(10, 2 - shift);
return y + "".PadRight(shift - 2, '0');
}
}

Edit: If the decimal point crosses non-zero part of the number, this algorithm will fail miserably. I tried for simple and went too far.

try this one:

public static string DoubleToFullString(double value,
NumberFormatInfo formatInfo)
{
string[] valueExpSplit;
string result, decimalSeparator;
int indexOfDecimalSeparator, exp;


valueExpSplit = value.ToString("r", formatInfo)
.ToUpper()
.Split(new char[] { 'E' });


if (valueExpSplit.Length > 1)
{
result = valueExpSplit[0];
exp = int.Parse(valueExpSplit[1]);
decimalSeparator = formatInfo.NumberDecimalSeparator;


if ((indexOfDecimalSeparator
= valueExpSplit[0].IndexOf(decimalSeparator)) > -1)
{
exp -= (result.Length - indexOfDecimalSeparator - 1);
result = result.Replace(decimalSeparator, "");
}


if (exp >= 0) result += new string('0', Math.Abs(exp));
else
{
exp = Math.Abs(exp);
if (exp >= result.Length)
{
result = "0." + new string('0', exp - result.Length)
+ result;
}
else
{
result = result.Insert(result.Length - exp, decimalSeparator);
}
}
}
else result = valueExpSplit[0];


return result;
}

This is a string parsing solution where the source number (double) is converted into a string and parsed into its constituent components. It is then reassembled by rules into the full-length numeric representation. It also accounts for locale as requested.

Update: The tests of the conversions only include single-digit whole numbers, which is the norm, but the algorithm also works for something like: 239483.340901e-20

using System;
using System.Text;
using System.Globalization;
using System.Threading;


public class MyClass
{
public static void Main()
{
Console.WriteLine(ToLongString(1.23e-2));
Console.WriteLine(ToLongString(1.234e-5));           // 0.00010234
Console.WriteLine(ToLongString(1.2345E-10));         // 0.00000001002345
Console.WriteLine(ToLongString(1.23456E-20));        // 0.00000000000000000100023456
Console.WriteLine(ToLongString(5E-20));
Console.WriteLine("");
Console.WriteLine(ToLongString(1.23E+2));            // 123
Console.WriteLine(ToLongString(1.234e5));            // 1023400
Console.WriteLine(ToLongString(1.2345E10));          // 1002345000000
Console.WriteLine(ToLongString(-7.576E-05));         // -0.00007576
Console.WriteLine(ToLongString(1.23456e20));
Console.WriteLine(ToLongString(5e+20));
Console.WriteLine("");
Console.WriteLine(ToLongString(9.1093822E-31));        // mass of an electron
Console.WriteLine(ToLongString(5.9736e24));            // mass of the earth


Console.ReadLine();
}


private static string ToLongString(double input)
{
string strOrig = input.ToString();
string str = strOrig.ToUpper();


// if string representation was collapsed from scientific notation, just return it:
if (!str.Contains("E")) return strOrig;


bool negativeNumber = false;


if (str[0] == '-')
{
str = str.Remove(0, 1);
negativeNumber = true;
}


string sep = Thread.CurrentThread.CurrentCulture.NumberFormat.NumberDecimalSeparator;
char decSeparator = sep.ToCharArray()[0];


string[] exponentParts = str.Split('E');
string[] decimalParts = exponentParts[0].Split(decSeparator);


// fix missing decimal point:
if (decimalParts.Length==1) decimalParts = new string[]{exponentParts[0],"0"};


int exponentValue = int.Parse(exponentParts[1]);


string newNumber = decimalParts[0] + decimalParts[1];


string result;


if (exponentValue > 0)
{
result =
newNumber +
GetZeros(exponentValue - decimalParts[1].Length);
}
else // negative exponent
{
result =
"0" +
decSeparator +
GetZeros(exponentValue + decimalParts[0].Length) +
newNumber;


result = result.TrimEnd('0');
}


if (negativeNumber)
result = "-" + result;


return result;
}


private static string GetZeros(int zeroCount)
{
if (zeroCount < 0)
zeroCount = Math.Abs(zeroCount);


StringBuilder sb = new StringBuilder();


for (int i = 0; i < zeroCount; i++) sb.Append("0");


return sb.ToString();
}
}

Being millions of programmers world wide, it's always a good practice to try search if someone has bumped into your problem already. Sometimes there's solutions are garbage, which means it's time to write your own, and sometimes there are great, such as the following:

http://www.yoda.arachsys.com/csharp/DoubleConverter.cs

(details: http://www.yoda.arachsys.com/csharp/floatingpoint.html)

i think you need only to use IFormat with

ToString(doubleVar, System.Globalization.NumberStyles.Number)

example:

double d = double.MaxValue;
string s = d.ToString(d, System.Globalization.NumberStyles.Number);

I had a similar problem and this worked for me:

doubleValue.ToString("F99").TrimEnd('0')

F99 may be overkill, but you get the idea.

My solution was using the custom formats. try this:

double d;
d = 1234.12341234;
d.ToString("#########0.#########");

I have just improvised on the code above to make it work for negative exponential values.

using System;
using System.Text.RegularExpressions;
using System.IO;
using System.Text;
using System.Threading;


namespace ConvertNumbersInScientificNotationToPlainNumbers
{
class Program
{
private static string ToLongString(double input)
{
string str = input.ToString(System.Globalization.CultureInfo.InvariantCulture);


// if string representation was collapsed from scientific notation, just return it:
if (!str.Contains("E")) return str;


var positive = true;
if (input < 0)
{
positive = false;
}


string sep = Thread.CurrentThread.CurrentCulture.NumberFormat.NumberDecimalSeparator;
char decSeparator = sep.ToCharArray()[0];


string[] exponentParts = str.Split('E');
string[] decimalParts = exponentParts[0].Split(decSeparator);


// fix missing decimal point:
if (decimalParts.Length == 1) decimalParts = new string[] { exponentParts[0], "0" };


int exponentValue = int.Parse(exponentParts[1]);


string newNumber = decimalParts[0].Replace("-", "").
Replace("+", "") + decimalParts[1];


string result;


if (exponentValue > 0)
{
if (positive)
result =
newNumber +
GetZeros(exponentValue - decimalParts[1].Length);
else


result = "-" +
newNumber +
GetZeros(exponentValue - decimalParts[1].Length);




}
else // negative exponent
{
if (positive)
result =
"0" +
decSeparator +
GetZeros(exponentValue + decimalParts[0].Replace("-", "").
Replace("+", "").Length) + newNumber;
else
result =
"-0" +
decSeparator +
GetZeros(exponentValue + decimalParts[0].Replace("-", "").
Replace("+", "").Length) + newNumber;


result = result.TrimEnd('0');
}
float temp = 0.00F;


if (float.TryParse(result, out temp))
{
return result;
}
throw new Exception();
}


private static string GetZeros(int zeroCount)
{
if (zeroCount < 0)
zeroCount = Math.Abs(zeroCount);


StringBuilder sb = new StringBuilder();


for (int i = 0; i < zeroCount; i++) sb.Append("0");


return sb.ToString();
}


public static void Main(string[] args)
{
//Get Input Directory.
Console.WriteLine(@"Enter the Input Directory");
var readLine = Console.ReadLine();
if (readLine == null)
{
Console.WriteLine(@"Enter the input path properly.");
return;
}
var pathToInputDirectory = readLine.Trim();


//Get Output Directory.
Console.WriteLine(@"Enter the Output Directory");
readLine = Console.ReadLine();
if (readLine == null)
{
Console.WriteLine(@"Enter the output path properly.");
return;
}
var pathToOutputDirectory = readLine.Trim();


//Get Delimiter.
Console.WriteLine("Enter the delimiter;");
var columnDelimiter = (char)Console.Read();


//Loop over all files in the directory.
foreach (var inputFileName in Directory.GetFiles(pathToInputDirectory))
{
var outputFileWithouthNumbersInScientificNotation = string.Empty;
Console.WriteLine("Started operation on File : " + inputFileName);


if (File.Exists(inputFileName))
{
// Read the file
using (var file = new StreamReader(inputFileName))
{
string line;
while ((line = file.ReadLine()) != null)
{
String[] columns = line.Split(columnDelimiter);
var duplicateLine = string.Empty;
int lengthOfColumns = columns.Length;
int counter = 1;
foreach (var column in columns)
{
var columnDuplicate = column;
try
{
if (Regex.IsMatch(columnDuplicate.Trim(),
@"^[+-]?[0-9]+(\.[0-9]+)?[E]([+-]?[0-9]+)$",
RegexOptions.IgnoreCase))
{
Console.WriteLine("Regular expression matched for this :" + column);


columnDuplicate = ToLongString(Double.Parse
(column,
System.Globalization.NumberStyles.Float));


Console.WriteLine("Converted this no in scientific notation " +
"" + column + "  to this number " +
columnDuplicate);
}
}
catch (Exception)
{


}
duplicateLine = duplicateLine + columnDuplicate;


if (counter != lengthOfColumns)
{
duplicateLine = duplicateLine + columnDelimiter.ToString();
}
counter++;
}
duplicateLine = duplicateLine + Environment.NewLine;
outputFileWithouthNumbersInScientificNotation = outputFileWithouthNumbersInScientificNotation + duplicateLine;
}


file.Close();
}


var outputFilePathWithoutNumbersInScientificNotation
= Path.Combine(pathToOutputDirectory, Path.GetFileName(inputFileName));


//Create Directory If it does not exist.
if (!Directory.Exists(pathToOutputDirectory))
Directory.CreateDirectory(pathToOutputDirectory);


using (var outputFile =
new StreamWriter(outputFilePathWithoutNumbersInScientificNotation))
{
outputFile.Write(outputFileWithouthNumbersInScientificNotation);
outputFile.Close();
}


Console.WriteLine("The transformed file is here :" +
outputFilePathWithoutNumbersInScientificNotation);
}
}
}
}
}

This code takes an input directory and based on the delimiter converts all values in scientific notation to numeric format.

Thanks

This works fine for me...

double number = 1.5E+200;
string s = number.ToString("#");


//Output: "150000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000"

For a general-purpose¹ solution you need to preserve 339 places:

doubleValue.ToString("0." + new string('#', 339))

The maximum number of non-zero decimal digits is 16. 15 are on the right side of the decimal point. The exponent can move those 15 digits a maximum of 324 places to the right. (See the range and precision.)

It works for double.Epsilon, double.MinValue, double.MaxValue, and anything in between.

The performance will be much greater than the regex/string manipulation solutions since all formatting and string work is done in one pass by unmanaged CLR code. Also, the code is much simpler to prove correct.

For ease of use and even better performance, make it a constant:

public static class FormatStrings
{
public const string DoubleFixedPoint = "0.###################################################################################################################################################################################################################################################################################################################################################";
}

¹ Update: I mistakenly said that this was also a lossless solution. In fact it is not, since ToString does its normal display rounding for all formats except r. Live example. Thanks, @Loathing! Please see Lothing’s answer if you need the ability to roundtrip in fixed point notation (i.e, if you’re using .ToString("r") today).

You could cast the double to decimal and then do ToString().

(0.000000005).ToString()   // 5E-09
((decimal)(0.000000005)).ToString()   // 0,000000005

I haven't done performance testing which is faster, casting from 64-bit double to 128-bit decimal or a format string of over 300 chars. Oh, and there might possibly be overflow errors during conversion, but if your values fit a decimal this should work fine.

Update: The casting seems to be a lot faster. Using a prepared format string as given in the other answer, formatting a million times takes 2.3 seconds and casting only 0.19 seconds. Repeatable. That's 10x faster. Now it's only about the value range.

string strdScaleFactor = dScaleFactor.ToString(); // where dScaleFactor = 3.531467E-05


decimal decimalScaleFactor = Decimal.Parse(strdScaleFactor, System.Globalization.NumberStyles.Float);

The problem using #.###...### or F99 is that it doesn't preserve precision at the ending decimal places, e.g:

String t1 = (0.0001/7).ToString("0." + new string('#', 339)); // 0.0000142857142857143
String t2 = (0.0001/7).ToString("r");                         //      1.4285714285714287E-05

The problem with DecimalConverter.cs is that it is slow. This code is the same idea as Sasik's answer, but twice as fast. Unit test method at bottom.

public static class RoundTrip {


private static String[] zeros = new String[1000];


static RoundTrip() {
for (int i = 0; i < zeros.Length; i++) {
zeros[i] = new String('0', i);
}
}


private static String ToRoundTrip(double value) {
String str = value.ToString("r");
int x = str.IndexOf('E');
if (x < 0) return str;


int x1 = x + 1;
String exp = str.Substring(x1, str.Length - x1);
int e = int.Parse(exp);


String s = null;
int numDecimals = 0;
if (value < 0) {
int len = x - 3;
if (e >= 0) {
if (len > 0) {
s = str.Substring(0, 2) + str.Substring(3, len);
numDecimals = len;
}
else
s = str.Substring(0, 2);
}
else {
// remove the leading minus sign
if (len > 0) {
s = str.Substring(1, 1) + str.Substring(3, len);
numDecimals = len;
}
else
s = str.Substring(1, 1);
}
}
else {
int len = x - 2;
if (len > 0) {
s = str[0] + str.Substring(2, len);
numDecimals = len;
}
else
s = str[0].ToString();
}


if (e >= 0) {
e = e - numDecimals;
String z = (e < zeros.Length ? zeros[e] : new String('0', e));
s = s + z;
}
else {
e = (-e - 1);
String z = (e < zeros.Length ? zeros[e] : new String('0', e));
if (value < 0)
s = "-0." + z + s;
else
s = "0." + z + s;
}


return s;
}


private static void RoundTripUnitTest() {
StringBuilder sb33 = new StringBuilder();
double[] values = new [] { 123450000000000000.0, 1.0 / 7, 10000000000.0/7, 100000000000000000.0/7, 0.001/7, 0.0001/7, 100000000000000000.0, 0.00000000001,
1.23e-2, 1.234e-5, 1.2345E-10, 1.23456E-20, 5E-20, 1.23E+2, 1.234e5, 1.2345E10, -7.576E-05, 1.23456e20, 5e+20, 9.1093822E-31, 5.9736e24, double.Epsilon };


foreach (int sign in new [] { 1, -1 }) {
foreach (double val in values) {
double val2 = sign * val;
String s1 = val2.ToString("r");
String s2 = ToRoundTrip(val2);


double val2_ = double.Parse(s2);
double diff = Math.Abs(val2 - val2_);
if (diff != 0) {
throw new Exception("Value {0} did not pass ToRoundTrip.".Format2(val.ToString("r")));
}
sb33.AppendLine(s1);
sb33.AppendLine(s2);
sb33.AppendLine();
}
}
}
}

I don't know if my answer to the question can still be helpful. But in this case I suggest the "decomposition of the double variable into decimal places" to store it in an Array / Array of data of type String.

This process of decomposition and storage in parts (number by number) from double to string, would basically work with the use of two loops and an "alternative" (if you thought of workaround, I think you got it), where the first loop will extract the values from double without converting to String, resulting in blessed scientific notation and storing number by number in an Array. And this will be done using MOD - the same method to check a palindrome number, which would be for example:

String[] Array_ = new double[ **here you will put an extreme value of places your DOUBLE can reach, you must have a prediction**];


for (int i = 0, variableDoubleMonstrous > 0, i++){
x = variableDoubleMonstrous %10;
Array_[i] = x;
variableDoubleMonstrous /= 10;
}

And the second loop to invert the Array values ​​(because in this process of checking a palindrome, the values ​​invert from the last place, to the first, from the penultimate to the second and so on. Remember?) to get the original value:

String[] ArrayFinal = new String[the same number of "places" / indices of the other Array / Data array];


int lengthArray = Array_.Length;


for (int i = 0, i < Array_.Length, i++){
FinalArray[i] = Array_[lengthArray - 1];
lengthArray--;
}

***Warning: There's a catch that I didn't pay attention to. In that case there will be no "." (floating point decimal separator or double), so this solution is not generalized. But if it is really important to use decimal separators, unfortunately the only possibility (If done well, it will have a great performance) is: **Use a routine to get the position of the decimal point of the original value, the one with scientific notation - the important thing is that you know that this floating point is before a number such as the "Length" position x, and after a number such as the y position - extracting each digit using the loops - as shown above - and at the end "export" the data from the last Array to another one, including the decimal place divider (the comma, or the period , if variable decimal, double or float) in the imaginary position that was in the original variable, in the "real" position of that matrix.

*** The concept of position is, find out how many numbers occur before the decimal point, so with this information you will be able to store in the String Array the point in the real position.

NEEDS THAT CAN BE MADE:

But then you ask:

  • But what about when I'm going to convert String to a floating point value? My answer is that you use the second matrix of this entire process (the one that receives the inversion of the first matrix that obtains the numbers by the palindrome method) and use it for the conversion, but always making sure, when necessary, of the position of the decimal place in future situations, in case this conversion (Double -> String) is needed again.

But what if the problem is to use the value of the converted Double (Array of Strings) in a calculation. Then in this case you went around in circles. Well, the original variable will work anyway even with scientific notation. The only difference between floating point and decimal variable types is in the rounding of values, which depending on the purpose, it will only be necessary to change the type of data used, but it is dangerous to have a significant loss of information, look here