I have to make a method named 'contains' that accepts a string and a character as parameters and returns true if that character occurs two or more times in the string.
example: Input contains("Apple", 'p') should return "True"
private boolean contains(String a,char b) {
if(a.contains(b)) {
print("true");
}
else {
print("");
}
//boolean c = a.contains('l');
return false;
}
I know this code is wrong ... I want to know what I have to do and what I have to fix .
I would appreciate your advice
Thank you.
There are a few ways to do this but the simplest would just be to loop through the String looking for the char, if count reaches two then return true.
For this consider using
for (char c : input) {
if (c == myChar) count++;
if (count >= 2) return true;
}
return false;
Another way would be to use String.replace and replace the wanted char with ""
then compare the size of the before and after String
Your method may return a boolean based on the size difference between the original string, and the string without the given character :
return (a.length() - (a.replace(b, '')).length()) >= 2 ;
In theoretical terms:
First: you need to iterate over the input string characters using a for loop and then in each iteration compare the current character in the string with the other character argument which is given as method argument. If they match, then you can increase a counter (a variable). Then compare if the counter value is 2 and return true immediately it is so. At the method end you can return false just like you have done already.
Second : you are printing true , not returning true. Should use return true; when the value of variable becomes 2
countMatches(a,b) returns the count of b in String a. and it is from org.apache.commons.lang3
private boolean contains(String a,char b) {
return StringUtils.countMatches(a, b)>=2 ;
}
or in simple java you can use
private boolean contains(String a,char b) {
return (a.length() - a.replaceAll(String.valueOf(b),"").length())>=2 ;
}
This is one of simple ways to do this. Here the string is put into char array. This way it is easier to examine the elements of the char array and find out same characters.
private boolean contains(String a, char b) {
char[] c_array = a.toCharArray();
int count = 0;
for (int i = 0; i < c_array.length; i++) {
if (b == c_array[i]) {
count++;
continue;
} else {
continue;
}
}
if (count >= 2) {
return true;
} else {
return false;
}
}
public class Demo {
public static boolean contains(String str,char c){
//todo:check str for NullPointExecption
int flag=0;
for(int i=0;i<str.length();i++){
if(c==str.charAt(i)){
flag++; //if str contains char c,flag=flag+1
}
if(flag>=2){
return true; //if flag>=2,return true
}
}
return false;
}
public static void main(String[] args) {
System.out.println(contains("appple", 'p'));//result is true
}
}
How would you check if a String was a number before parsing it?
This is generally done with a simple user-defined function (i.e. Roll-your-own "isNumeric" function).
Something like:
public static boolean isNumeric(String str) {
try {
Double.parseDouble(str);
return true;
} catch(NumberFormatException e){
return false;
}
}
However, if you're calling this function a lot, and you expect many of the checks to fail due to not being a number then performance of this mechanism will not be great, since you're relying upon exceptions being thrown for each failure, which is a fairly expensive operation.
An alternative approach may be to use a regular expression to check for validity of being a number:
public static boolean isNumeric(String str) {
return str.matches("-?\\d+(\\.\\d+)?"); //match a number with optional '-' and decimal.
}
Be careful with the above RegEx mechanism, though, as it will fail if you're using non-Arabic digits (i.e. numerals other than 0 through to 9). This is because the "\d" part of the RegEx will only match [0-9] and effectively isn't internationally numerically aware. (Thanks to OregonGhost for pointing this out!)
Or even another alternative is to use Java's built-in java.text.NumberFormat object to see if, after parsing the string the parser position is at the end of the string. If it is, we can assume the entire string is numeric:
public static boolean isNumeric(String str) {
ParsePosition pos = new ParsePosition(0);
NumberFormat.getInstance().parse(str, pos);
return str.length() == pos.getIndex();
}
With Apache Commons Lang 3.5 and above: NumberUtils.isCreatable or StringUtils.isNumeric.
With Apache Commons Lang 3.4 and below: NumberUtils.isNumber or StringUtils.isNumeric.
You can also use StringUtils.isNumericSpace which returns true for empty strings and ignores internal spaces in the string. Another way is to use NumberUtils.isParsable which basically checks the number is parsable according to Java. (The linked javadocs contain detailed examples for each method.)
Java 8 lambda expressions.
String someString = "123123";
boolean isNumeric = someString.chars().allMatch( Character::isDigit );
if you are on android, then you should use:
android.text.TextUtils.isDigitsOnly(CharSequence str)
documentation can be found here
keep it simple. mostly everybody can "re-program" (the same thing).
As #CraigTP had mentioned in his excellent answer, I also have similar performance concerns on using Exceptions to test whether the string is numerical or not. So I end up splitting the string and use java.lang.Character.isDigit().
public static boolean isNumeric(String str)
{
for (char c : str.toCharArray())
{
if (!Character.isDigit(c)) return false;
}
return true;
}
According to the Javadoc, Character.isDigit(char) will correctly recognizes non-Latin digits. Performance-wise, I think a simple N number of comparisons where N is the number of characters in the string would be more computationally efficient than doing a regex matching.
UPDATE: As pointed by Jean-François Corbett in the comment, the above code would only validate positive integers, which covers the majority of my use case. Below is the updated code that correctly validates decimal numbers according to the default locale used in your system, with the assumption that decimal separator only occur once in the string.
public static boolean isStringNumeric( String str )
{
DecimalFormatSymbols currentLocaleSymbols = DecimalFormatSymbols.getInstance();
char localeMinusSign = currentLocaleSymbols.getMinusSign();
if ( !Character.isDigit( str.charAt( 0 ) ) && str.charAt( 0 ) != localeMinusSign ) return false;
boolean isDecimalSeparatorFound = false;
char localeDecimalSeparator = currentLocaleSymbols.getDecimalSeparator();
for ( char c : str.substring( 1 ).toCharArray() )
{
if ( !Character.isDigit( c ) )
{
if ( c == localeDecimalSeparator && !isDecimalSeparatorFound )
{
isDecimalSeparatorFound = true;
continue;
}
return false;
}
}
return true;
}
Google's Guava library provides a nice helper method to do this: Ints.tryParse. You use it like Integer.parseInt but it returns null rather than throw an Exception if the string does not parse to a valid integer. Note that it returns Integer, not int, so you have to convert/autobox it back to int.
Example:
String s1 = "22";
String s2 = "22.2";
Integer oInt1 = Ints.tryParse(s1);
Integer oInt2 = Ints.tryParse(s2);
int i1 = -1;
if (oInt1 != null) {
i1 = oInt1.intValue();
}
int i2 = -1;
if (oInt2 != null) {
i2 = oInt2.intValue();
}
System.out.println(i1); // prints 22
System.out.println(i2); // prints -1
However, as of the current release -- Guava r11 -- it is still marked #Beta.
I haven't benchmarked it. Looking at the source code there is some overhead from a lot of sanity checking but in the end they use Character.digit(string.charAt(idx)), similar, but slightly different from, the answer from #Ibrahim above. There is no exception handling overhead under the covers in their implementation.
Do not use Exceptions to validate your values.
Use Util libs instead like apache NumberUtils:
NumberUtils.isNumber(myStringValue);
Edit:
Please notice that, if your string starts with an 0, NumberUtils will interpret your value as hexadecimal.
NumberUtils.isNumber("07") //true
NumberUtils.isNumber("08") //false
Why is everyone pushing for exception/regex solutions?
While I can understand most people are fine with using try/catch, if you want to do it frequently... it can be extremely taxing.
What I did here was take the regex, the parseNumber() methods, and the array searching method to see which was the most efficient. This time, I only looked at integer numbers.
public static boolean isNumericRegex(String str) {
if (str == null)
return false;
return str.matches("-?\\d+");
}
public static boolean isNumericArray(String str) {
if (str == null)
return false;
char[] data = str.toCharArray();
if (data.length <= 0)
return false;
int index = 0;
if (data[0] == '-' && data.length > 1)
index = 1;
for (; index < data.length; index++) {
if (data[index] < '0' || data[index] > '9') // Character.isDigit() can go here too.
return false;
}
return true;
}
public static boolean isNumericException(String str) {
if (str == null)
return false;
try {
/* int i = */ Integer.parseInt(str);
} catch (NumberFormatException nfe) {
return false;
}
return true;
}
The results in speed I got were:
Done with: for (int i = 0; i < 10000000; i++)...
With only valid numbers ("59815833" and "-59815833"):
Array numeric took 395.808192 ms [39.5808192 ns each]
Regex took 2609.262595 ms [260.9262595 ns each]
Exception numeric took 428.050207 ms [42.8050207 ns each]
// Negative sign
Array numeric took 355.788273 ms [35.5788273 ns each]
Regex took 2746.278466 ms [274.6278466 ns each]
Exception numeric took 518.989902 ms [51.8989902 ns each]
// Single value ("1")
Array numeric took 317.861267 ms [31.7861267 ns each]
Regex took 2505.313201 ms [250.5313201 ns each]
Exception numeric took 239.956955 ms [23.9956955 ns each]
// With Character.isDigit()
Array numeric took 400.734616 ms [40.0734616 ns each]
Regex took 2663.052417 ms [266.3052417 ns each]
Exception numeric took 401.235906 ms [40.1235906 ns each]
With invalid characters ("5981a5833" and "a"):
Array numeric took 343.205793 ms [34.3205793 ns each]
Regex took 2608.739933 ms [260.8739933 ns each]
Exception numeric took 7317.201775 ms [731.7201775 ns each]
// With a single character ("a")
Array numeric took 291.695519 ms [29.1695519 ns each]
Regex took 2287.25378 ms [228.725378 ns each]
Exception numeric took 7095.969481 ms [709.5969481 ns each]
With null:
Array numeric took 214.663834 ms [21.4663834 ns each]
Regex took 201.395992 ms [20.1395992 ns each]
Exception numeric took 233.049327 ms [23.3049327 ns each]
Exception numeric took 6603.669427 ms [660.3669427 ns each] if there is no if/null check
Disclaimer: I'm not claiming these methods are 100% optimized, they're just for demonstration of the data
Exceptions won if and only if the number is 4 characters or less, and every string is always a number... in which case, why even have a check?
In short, it is extremely painful if you run into invalid numbers frequently with the try/catch, which makes sense. An important rule I always follow is NEVER use try/catch for program flow. This is an example why.
Interestingly, the simple if char <0 || >9 was extremely simple to write, easy to remember (and should work in multiple languages) and wins almost all the test scenarios.
The only downside is that I'm guessing Integer.parseInt() might handle non ASCII numbers, whereas the array searching method does not.
For those wondering why I said it's easy to remember the character array one, if you know there's no negative signs, you can easily get away with something condensed as this:
public static boolean isNumericArray(String str) {
if (str == null)
return false;
for (char c : str.toCharArray())
if (c < '0' || c > '9')
return false;
return true;
Lastly as a final note, I was curious about the assigment operator in the accepted example with all the votes up. Adding in the assignment of
double d = Double.parseDouble(...)
is not only useless since you don't even use the value, but it wastes processing time and increased the runtime by a few nanoseconds (which led to a 100-200 ms increase in the tests). I can't see why anyone would do that since it actually is extra work to reduce performance.
You'd think that would be optimized out... though maybe I should check the bytecode and see what the compiler is doing. That doesn't explain why it always showed up as lengthier for me though if it somehow is optimized out... therefore I wonder what's going on. As a note: By lengthier, I mean running the test for 10000000 iterations, and running that program multiple times (10x+) always showed it to be slower.
EDIT: Updated a test for Character.isDigit()
public static boolean isNumeric(String str)
{
return str.matches("-?\\d+(.\\d+)?");
}
CraigTP's regular expression (shown above) produces some false positives. E.g. "23y4" will be counted as a number because '.' matches any character not the decimal point.
Also it will reject any number with a leading '+'
An alternative which avoids these two minor problems is
public static boolean isNumeric(String str)
{
return str.matches("[+-]?\\d*(\\.\\d+)?");
}
We can try replacing all the numbers from the given string with ("") ie blank space and if after that the length of the string is zero then we can say that given string contains only numbers.
Example:
boolean isNumber(String str){
if(str.length() == 0)
return false; //To check if string is empty
if(str.charAt(0) == '-')
str = str.replaceFirst("-","");// for handling -ve numbers
System.out.println(str);
str = str.replaceFirst("\\.",""); //to check if it contains more than one decimal points
if(str.length() == 0)
return false; // to check if it is empty string after removing -ve sign and decimal point
System.out.println(str);
return str.replaceAll("[0-9]","").length() == 0;
}
You can use NumberFormat#parse:
try
{
NumberFormat.getInstance().parse(value);
}
catch(ParseException e)
{
// Not a number.
}
If you using java to develop Android app, you could using TextUtils.isDigitsOnly function.
Here was my answer to the problem.
A catch all convenience method which you can use to parse any String with any type of parser: isParsable(Object parser, String str). The parser can be a Class or an object. This will also allows you to use custom parsers you've written and should work for ever scenario, eg:
isParsable(Integer.class, "11");
isParsable(Double.class, "11.11");
Object dateFormater = new java.text.SimpleDateFormat("yyyy.MM.dd G 'at' HH:mm:ss z");
isParsable(dateFormater, "2001.07.04 AD at 12:08:56 PDT");
Here's my code complete with method descriptions.
import java.lang.reflect.*;
/**
* METHOD: isParsable<p><p>
*
* This method will look through the methods of the specified <code>from</code> parameter
* looking for a public method name starting with "parse" which has only one String
* parameter.<p>
*
* The <code>parser</code> parameter can be a class or an instantiated object, eg:
* <code>Integer.class</code> or <code>new Integer(1)</code>. If you use a
* <code>Class</code> type then only static methods are considered.<p>
*
* When looping through potential methods, it first looks at the <code>Class</code> associated
* with the <code>parser</code> parameter, then looks through the methods of the parent's class
* followed by subsequent ancestors, using the first method that matches the criteria specified
* above.<p>
*
* This method will hide any normal parse exceptions, but throws any exceptions due to
* programmatic errors, eg: NullPointerExceptions, etc. If you specify a <code>parser</code>
* parameter which has no matching parse methods, a NoSuchMethodException will be thrown
* embedded within a RuntimeException.<p><p>
*
* Example:<br>
* <code>isParsable(Boolean.class, "true");<br>
* isParsable(Integer.class, "11");<br>
* isParsable(Double.class, "11.11");<br>
* Object dateFormater = new java.text.SimpleDateFormat("yyyy.MM.dd G 'at' HH:mm:ss z");<br>
* isParsable(dateFormater, "2001.07.04 AD at 12:08:56 PDT");<br></code>
* <p>
*
* #param parser The Class type or instantiated Object to find a parse method in.
* #param str The String you want to parse
*
* #return true if a parse method was found and completed without exception
* #throws java.lang.NoSuchMethodException If no such method is accessible
*/
public static boolean isParsable(Object parser, String str) {
Class theClass = (parser instanceof Class? (Class)parser: parser.getClass());
boolean staticOnly = (parser == theClass), foundAtLeastOne = false;
Method[] methods = theClass.getMethods();
// Loop over methods
for (int index = 0; index < methods.length; index++) {
Method method = methods[index];
// If method starts with parse, is public and has one String parameter.
// If the parser parameter was a Class, then also ensure the method is static.
if(method.getName().startsWith("parse") &&
(!staticOnly || Modifier.isStatic(method.getModifiers())) &&
Modifier.isPublic(method.getModifiers()) &&
method.getGenericParameterTypes().length == 1 &&
method.getGenericParameterTypes()[0] == String.class)
{
try {
foundAtLeastOne = true;
method.invoke(parser, str);
return true; // Successfully parsed without exception
} catch (Exception exception) {
// If invoke problem, try a different method
/*if(!(exception instanceof IllegalArgumentException) &&
!(exception instanceof IllegalAccessException) &&
!(exception instanceof InvocationTargetException))
continue; // Look for other parse methods*/
// Parse method refuses to parse, look for another different method
continue; // Look for other parse methods
}
}
}
// No more accessible parse method could be found.
if(foundAtLeastOne) return false;
else throw new RuntimeException(new NoSuchMethodException());
}
/**
* METHOD: willParse<p><p>
*
* A convienence method which calls the isParseable method, but does not throw any exceptions
* which could be thrown through programatic errors.<p>
*
* Use of {#link #isParseable(Object, String) isParseable} is recommended for use so programatic
* errors can be caught in development, unless the value of the <code>parser</code> parameter is
* unpredictable, or normal programtic exceptions should be ignored.<p>
*
* See {#link #isParseable(Object, String) isParseable} for full description of method
* usability.<p>
*
* #param parser The Class type or instantiated Object to find a parse method in.
* #param str The String you want to parse
*
* #return true if a parse method was found and completed without exception
* #see #isParseable(Object, String) for full description of method usability
*/
public static boolean willParse(Object parser, String str) {
try {
return isParsable(parser, str);
} catch(Throwable exception) {
return false;
}
}
To match only positive base-ten integers, that contains only ASCII digits, use:
public static boolean isNumeric(String maybeNumeric) {
return maybeNumeric != null && maybeNumeric.matches("[0-9]+");
}
A well-performing approach avoiding try-catch and handling negative numbers and scientific notation.
Pattern PATTERN = Pattern.compile( "^(-?0|-?[1-9]\\d*)(\\.\\d+)?(E\\d+)?$" );
public static boolean isNumeric( String value )
{
return value != null && PATTERN.matcher( value ).matches();
}
Regex Matching
Here is another example upgraded "CraigTP" regex matching with more validations.
public static boolean isNumeric(String str)
{
return str.matches("^(?:(?:\\-{1})?\\d+(?:\\.{1}\\d+)?)$");
}
Only one negative sign - allowed and must be in beginning.
After negative sign there must be digit.
Only one decimal sign . allowed.
After decimal sign there must be digit.
Regex Test
1 -- **VALID**
1. -- INVALID
1.. -- INVALID
1.1 -- **VALID**
1.1.1 -- INVALID
-1 -- **VALID**
--1 -- INVALID
-1. -- INVALID
-1.1 -- **VALID**
-1.1.1 -- INVALID
Here is my class for checking if a string is numeric. It also fixes numerical strings:
Features:
Removes unnecessary zeros ["12.0000000" -> "12"]
Removes unnecessary zeros ["12.0580000" -> "12.058"]
Removes non numerical characters ["12.00sdfsdf00" -> "12"]
Handles negative string values ["-12,020000" -> "-12.02"]
Removes multiple dots ["-12.0.20.000" -> "-12.02"]
No extra libraries, just standard Java
Here you go...
public class NumUtils {
/**
* Transforms a string to an integer. If no numerical chars returns a String "0".
*
* #param str
* #return retStr
*/
static String makeToInteger(String str) {
String s = str;
double d;
d = Double.parseDouble(makeToDouble(s));
int i = (int) (d + 0.5D);
String retStr = String.valueOf(i);
System.out.printf(retStr + " ");
return retStr;
}
/**
* Transforms a string to an double. If no numerical chars returns a String "0".
*
* #param str
* #return retStr
*/
static String makeToDouble(String str) {
Boolean dotWasFound = false;
String orgStr = str;
String retStr;
int firstDotPos = 0;
Boolean negative = false;
//check if str is null
if(str.length()==0){
str="0";
}
//check if first sign is "-"
if (str.charAt(0) == '-') {
negative = true;
}
//check if str containg any number or else set the string to '0'
if (!str.matches(".*\\d+.*")) {
str = "0";
}
//Replace ',' with '.' (for some european users who use the ',' as decimal separator)
str = str.replaceAll(",", ".");
str = str.replaceAll("[^\\d.]", "");
//Removes the any second dots
for (int i_char = 0; i_char < str.length(); i_char++) {
if (str.charAt(i_char) == '.') {
dotWasFound = true;
firstDotPos = i_char;
break;
}
}
if (dotWasFound) {
String befDot = str.substring(0, firstDotPos + 1);
String aftDot = str.substring(firstDotPos + 1, str.length());
aftDot = aftDot.replaceAll("\\.", "");
str = befDot + aftDot;
}
//Removes zeros from the begining
double uglyMethod = Double.parseDouble(str);
str = String.valueOf(uglyMethod);
//Removes the .0
str = str.replaceAll("([0-9])\\.0+([^0-9]|$)", "$1$2");
retStr = str;
if (negative) {
retStr = "-"+retStr;
}
return retStr;
}
static boolean isNumeric(String str) {
try {
double d = Double.parseDouble(str);
} catch (NumberFormatException nfe) {
return false;
}
return true;
}
}
Exceptions are expensive, but in this case the RegEx takes much longer. The code below shows a simple test of two functions -- one using exceptions and one using regex. On my machine the RegEx version is 10 times slower than the exception.
import java.util.Date;
public class IsNumeric {
public static boolean isNumericOne(String s) {
return s.matches("-?\\d+(\\.\\d+)?"); //match a number with optional '-' and decimal.
}
public static boolean isNumericTwo(String s) {
try {
Double.parseDouble(s);
return true;
} catch (Exception e) {
return false;
}
}
public static void main(String [] args) {
String test = "12345.F";
long before = new Date().getTime();
for(int x=0;x<1000000;++x) {
//isNumericTwo(test);
isNumericOne(test);
}
long after = new Date().getTime();
System.out.println(after-before);
}
}
// please check below code
public static boolean isDigitsOnly(CharSequence str) {
final int len = str.length();
for (int i = 0; i < len; i++) {
if (!Character.isDigit(str.charAt(i))) {
return false;
}
}
return true;
}
You can use the java.util.Scanner object.
public static boolean isNumeric(String inputData) {
Scanner sc = new Scanner(inputData);
return sc.hasNextInt();
}
// only int
public static boolean isNumber(int num)
{
return (num >= 48 && c <= 57); // 0 - 9
}
// is type of number including . - e E
public static boolean isNumber(String s)
{
boolean isNumber = true;
for(int i = 0; i < s.length() && isNumber; i++)
{
char c = s.charAt(i);
isNumber = isNumber & (
(c >= '0' && c <= '9') || (c == '.') || (c == 'e') || (c == 'E') || (c == '')
);
}
return isInteger;
}
// is type of number
public static boolean isInteger(String s)
{
boolean isInteger = true;
for(int i = 0; i < s.length() && isInteger; i++)
{
char c = s.charAt(i);
isInteger = isInteger & ((c >= '0' && c <= '9'));
}
return isInteger;
}
public static boolean isNumeric(String s)
{
try
{
Double.parseDouble(s);
return true;
}
catch (Exception e)
{
return false;
}
}
This a simple example for this check:
public static boolean isNumericString(String input) {
boolean result = false;
if(input != null && input.length() > 0) {
char[] charArray = input.toCharArray();
for(char c : charArray) {
if(c >= '0' && c <= '9') {
// it is a digit
result = true;
} else {
result = false;
break;
}
}
}
return result;
}
I have illustrated some conditions to check numbers and decimals without using any API,
Check Fix Length 1 digit number
Character.isDigit(char)
Check Fix Length number (Assume length is 6)
String number = "132452";
if(number.matches("([0-9]{6})"))
System.out.println("6 digits number identified");
Check Varying Length number between (Assume 4 to 6 length)
// {n,m} n <= length <= m
String number = "132452";
if(number.matches("([0-9]{4,6})"))
System.out.println("Number Identified between 4 to 6 length");
String number = "132";
if(!number.matches("([0-9]{4,6})"))
System.out.println("Number not in length range or different format");
Check Varying Length decimal number between (Assume 4 to 7 length)
// It will not count the '.' (Period) in length
String decimal = "132.45";
if(decimal.matches("(-?[0-9]+(\.)?[0-9]*){4,6}"))
System.out.println("Numbers Identified between 4 to 7");
String decimal = "1.12";
if(decimal.matches("(-?[0-9]+(\.)?[0-9]*){4,6}"))
System.out.println("Numbers Identified between 4 to 7");
String decimal = "1234";
if(decimal.matches("(-?[0-9]+(\.)?[0-9]*){4,6}"))
System.out.println("Numbers Identified between 4 to 7");
String decimal = "-10.123";
if(decimal.matches("(-?[0-9]+(\.)?[0-9]*){4,6}"))
System.out.println("Numbers Identified between 4 to 7");
String decimal = "123..4";
if(!decimal.matches("(-?[0-9]+(\.)?[0-9]*){4,6}"))
System.out.println("Decimal not in range or different format");
String decimal = "132";
if(!decimal.matches("(-?[0-9]+(\.)?[0-9]*){4,6}"))
System.out.println("Decimal not in range or different format");
String decimal = "1.1";
if(!decimal.matches("(-?[0-9]+(\.)?[0-9]*){4,6}"))
System.out.println("Decimal not in range or different format");
Hope it will help manyone.
Based off of other answers I wrote my own and it doesn't use patterns or parsing with exception checking.
It checks for a maximum of one minus sign and checks for a maximum of one decimal point.
Here are some examples and their results:
"1", "-1", "-1.5" and "-1.556" return true
"1..5", "1A.5", "1.5D", "-" and "--1" return false
Note: If needed you can modify this to accept a Locale parameter and pass that into the DecimalFormatSymbols.getInstance() calls to use a specific Locale instead of the current one.
public static boolean isNumeric(final String input) {
//Check for null or blank string
if(input == null || input.isBlank()) return false;
//Retrieve the minus sign and decimal separator characters from the current Locale
final var localeMinusSign = DecimalFormatSymbols.getInstance().getMinusSign();
final var localeDecimalSeparator = DecimalFormatSymbols.getInstance().getDecimalSeparator();
//Check if first character is a minus sign
final var isNegative = input.charAt(0) == localeMinusSign;
//Check if string is not just a minus sign
if (isNegative && input.length() == 1) return false;
var isDecimalSeparatorFound = false;
//If the string has a minus sign ignore the first character
final var startCharIndex = isNegative ? 1 : 0;
//Check if each character is a number or a decimal separator
//and make sure string only has a maximum of one decimal separator
for (var i = startCharIndex; i < input.length(); i++) {
if(!Character.isDigit(input.charAt(i))) {
if(input.charAt(i) == localeDecimalSeparator && !isDecimalSeparatorFound) {
isDecimalSeparatorFound = true;
} else return false;
}
}
return true;
}
For non-negative number use this
public boolean isNonNegativeNumber(String str) {
return str.matches("\\d+");
}
For any number use this
public boolean isNumber(String str) {
return str.matches("-?\\d+");
}
I modified CraigTP's solution to accept scientific notation and both dot and comma as decimal separators as well
^-?\d+([,\.]\d+)?([eE]-?\d+)?$
example
var re = new RegExp("^-?\d+([,\.]\d+)?([eE]-?\d+)?$");
re.test("-6546"); // true
re.test("-6546355e-4456"); // true
re.test("-6546.355e-4456"); // true, though debatable
re.test("-6546.35.5e-4456"); // false
re.test("-6546.35.5e-4456.6"); // false
That's why I like the Try* approach in .NET. In addition to the traditional Parse method that's like the Java one, you also have a TryParse method. I'm not good in Java syntax (out parameters?), so please treat the following as some kind of pseudo-code. It should make the concept clear though.
boolean parseInteger(String s, out int number)
{
try {
number = Integer.parseInt(myString);
return true;
} catch(NumberFormatException e) {
return false;
}
}
Usage:
int num;
if (parseInteger("23", out num)) {
// Do something with num.
}
Parse it (i.e. with Integer#parseInt ) and simply catch the exception. =)
To clarify: The parseInt function checks if it can parse the number in any case (obviously) and if you want to parse it anyway, you are not going to take any performance hit by actually doing the parsing.
If you would not want to parse it (or parse it very, very rarely) you might wish to do it differently of course.
You can use NumberUtils.isCreatable() from Apache Commons Lang.
Since NumberUtils.isNumber will be deprecated in 4.0, so use NumberUtils.isCreatable() instead.
Java 8 Stream, lambda expression, functional interface
All cases handled (string null, string empty etc)
String someString = null; // something="", something="123abc", something="123123"
boolean isNumeric = Stream.of(someString)
.filter(s -> s != null && !s.isEmpty())
.filter(Pattern.compile("\\D").asPredicate().negate())
.mapToLong(Long::valueOf)
.boxed()
.findAny()
.isPresent();
How to check a string is numeric positive and possibly a comma as decimal separator and two decimal places maximum.
Example
10.25 is true
10.2 is true
10.236 is false theres 3 decimal
10.dee is false
or you can use this regexp
^[0-9]*([,]{1}[0-9]{0,2}){0,1}$
if you want both comma and dot as allowed separator then
^[0-9]*([\.,]{1}[0-9]{0,2}){0,1}$
If a string represents negative number then it must be prefixed with a minus sign, regardless of the precision, number format or decimal separator used:
if(string.equals("0.0") || !string.startsWith("-")) {
//string is positive
}
To check for numeric, use:
Double number = Double.parseDouble(string);
return number > 0;
**UPDATE:
For comma as seperator, you can use the following:
NumberFormat format = NumberFormat.getInstance(Locale.FRANCE);
Number number = format.parse(string);
double d = number.doubleValue();
return number > 0;
My suggestion:
Convert to a double first. That will test for numeric.
If that fails;
convert the last comma in a period (indexOf, replace).
Then convert again.
For making sure you have 2 decimal places maximum - there's functions for that in DecimalFormat...
But for alternatives, see this question here. Rounding a double to 5 decimal places in Java ME
After you have the double converted and stored to 2 decimal places, you can check if it's negative.
The correct way to get the sign of a number is to use signum provided by Math lib.
Math.signum(yourDouble);
Returns the signum function of the argument; zero if the argument is zero, 1.0 if the argument is greater than zero, -1.0 if the argument is less than zero
Another option is to use BigDecimal:
import java.math.BigDecimal;
public class TestBigDecimal2 {
public static void main(String[] args) {
String[] values = { "10.25", "-10.25", "10.2", "10.236", "10.dee" };
for(String value : values) {
System.out.println(value + " is valid: " + checkValid(value));
}
}
private static boolean checkValid(String value) {
try {
BigDecimal decimal = new BigDecimal(value);
return decimal.signum() > 0 && decimal.scale() < 3;
}
catch (NumberFormatException e) {
return false;
}
}
}
Use
that returns true if is a positive integer and false if not.
public static boolean isPositiveInteger(String str) {
if (str == null) {
return false;
}
int length = str.length();
if (length == 0) {
return false;
}
if (str.charAt(0) == '-') {
return false;
}
for (int i = 0; i < length; i++) {
char c = str.charAt(i);
boolean isDigit = (c >= '0' && c <= '9');
if (!isDigit) {
return false;
}
}
return true;
}