Java Program to Check if An Array Contains a Given Value
In this program, you’ll learn to check if an array contains a given value in Java.
Example 1: Check if Int Array contains a given value
public class Contains{
public static void main(String[] args){
int[] num = {1, 2, 3, 4, 5};
int toFind = 3;
boolean found = false;
for (int n : num) {
if (n == toFind) {
found = true;
break;
}
}
if(found)
System.out.println(toFind + " is found.");
else
System.out.println(toFind + " is not found.");
}
}
Output
3 is found.
In the above program, we have an array of integers stored in variable num. Likewise, the number to be found is stored in toFind.
Now, we use a for-each loop to iterate through all elements of num and check individually if toFind is equal to n or not.
If yes, we set found to true
and break from the loop. If not, we move to the next iteration.
Example 2: Check if an array contains given value using Stream
import java.util.stream.IntStream;
public class Contains{
public static void main(String[] args){
int[] num = {1, 2, 3, 4, 5};
int toFind = 7;
boolean found = IntStream.of(num).anyMatch(n -> n == toFind);
if(found)
System.out.println(toFind + " is found.");
else
System.out.println(toFind + " is not found.");
}
}
Output
7 is not found.
In the above program, instead of using a for-each loop, we convert the array to an IntStream
and use its anyMatch()
method.
anyMatch()
method takes a predicate, an expression, or a function that returns a boolean value. In our case, the predicate compares each element n in the stream to toFind and returns true
or false
.
If any of the element n returns true
, found is set to true
as well.
Example 3: Check if an array contains a given value for non-primitive types
import java.util.Arrays;
public class Contains{
public static void main(String[] args){
String[] strings = {"One", "Two", "Three", "Four", "Five"};
String toFind = "Four";
boolean found = Arrays.stream(strings).anyMatch(t -> t.equals(toFind));
if(found)
System.out.println(toFind + " is found.");
else
System.out.println(toFind + " is not found.");
}
}
Output
Four is found.
In the above program, we’ve used a non-primitive data type String
and used Arrays
‘s stream()
method to first convert it to a stream and anyMatch()
to check if the array contains the given value toFind.
Python Example for Beginners
Two Machine Learning Fields
There are two sides to machine learning:
- Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
- Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.
Data Science Resources: Data Science Recipes and Applied Machine Learning Recipes
Introduction to Applied Machine Learning & Data Science for Beginners, Business Analysts, Students, Researchers and Freelancers with Python & R Codes @ Western Australian Center for Applied Machine Learning & Data Science (WACAMLDS) !!!
Latest end-to-end Learn by Coding Recipes in Project-Based Learning:
Applied Statistics with R for Beginners and Business Professionals
Data Science and Machine Learning Projects in Python: Tabular Data Analytics
Data Science and Machine Learning Projects in R: Tabular Data Analytics
Python Machine Learning & Data Science Recipes: Learn by Coding
R Machine Learning & Data Science Recipes: Learn by Coding
Comparing Different Machine Learning Algorithms in Python for Classification (FREE)
Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.