LeetCode 3198: Find Cities in Each State Solution
Master LeetCode problem 3198 (Find Cities in Each State), a easy challenge, with our optimized solutions in Java, C++, and Python. Explore detailed explanations, test your code in our interactive editor, and prepare for coding interviews.
3198. Find Cities in Each State
Problem Explanation
Explanation:
To solve this problem, we can use a HashMap to store the mapping of states to cities. We will iterate through the list of cities, extract the state and city information, and store it in the HashMap. Finally, we can return the HashMap containing the cities for each state.
- Time complexity: O(n) where n is the number of cities
- Space complexity: O(n)
:
Solution Code
import java.util.*;
class Solution {
public Map<String, List<String>> findCitiesInEachState(String[] cities) {
Map<String, List<String>> map = new HashMap<>();
for (String city : cities) {
String[] cityInfo = city.split(",");
String state = cityInfo[1].trim();
String cityName = cityInfo[0].trim();
if (!map.containsKey(state)) {
map.put(state, new ArrayList<>());
}
map.get(state).add(cityName);
}
return map;
}
}Try It Yourself
Loading code editor...
Related LeetCode Problems
Frequently Asked Questions
How to solve LeetCode 3198 (Find Cities in Each State)?
This page provides optimized solutions for LeetCode problem 3198 (Find Cities in Each State) in Java, C++, and Python, along with a detailed explanation and an interactive code editor to test your code.
What is the time complexity of LeetCode 3198 (Find Cities in Each State)?
The time complexity for LeetCode 3198 (Find Cities in Each State) varies by solution. Check the detailed explanation section for specific complexities in Java, C++, and Python implementations.
Can I run code for LeetCode 3198 on DevExCode?
Yes, DevExCode provides an interactive code editor where you can write, test, and run your code for LeetCode 3198 in Java, C++, or Python.