944. Delete Columns to Make Sorted
Problem Description
You are given an array of n strings strs, all of the same length.
The strings can be arranged such that there is one on each line, making a grid. For example, strs = ["abc", "bce", "cae"] can be arranged as:
abc
bce
cae
You want to delete the columns that are not sorted lexicographically. In the above example (0-indexed):
- Columns 0 ('a', 'b', 'c') and 2 ('c', 'e', 'e') are sorted while column 1 ('b', 'c', 'a') is not, so you would delete column 1.
Return the number of columns that you will delete.
Example 1:
Input: strs = ["cba","daf","ghi"]
Output: 1
Explanation: The grid looks like this:
cba
daf
ghi
Columns 0 and 2 are sorted, but column 1 is not, so you only need to delete 1 column.
Example 2:
Input: strs = ["a","b"]
Output: 0
Explanation: The grid looks like this:
a
b
Column 0 is the only column and is sorted, so you will not delete any columns.
Example 3:
Input: strs = ["zyx","wvu","tsr"]
Output: 3
Explanation: The grid looks like this:
zyx
wvu
tsr
All 3 columns are not sorted, so you will delete all 3.
Constraints:
n == strs.length
1 <= n <= 100
1 <= strs[i].length <= 1000
strs[i]
consists of lowercase English letters.
Solution
Python Solution
class Solution:
def minDeletionSize(self, strs: List[str]) -> int:
n, m = len(strs), len(strs[0])
count = 0
for j in range(m):
for i in range(1, n):
if strs[i][j] < strs[i-1][j]:
count += 1
break
return count
Time Complexity: O(n * m)
Where n is the number of strings and m is the length of each string.
Space Complexity: O(1)
We only use a constant amount of extra space.
Java Solution
class Solution {
public int minDeletionSize(String[] strs) {
int n = strs.length, m = strs[0].length();
int count = 0;
for (int j = 0; j < m; j++) {
for (int i = 1; i < n; i++) {
if (strs[i].charAt(j) < strs[i-1].charAt(j)) {
count++;
break;
}
}
}
return count;
}
}
Time Complexity: O(n * m)
Where n is the number of strings and m is the length of each string.
Space Complexity: O(1)
We only use a constant amount of extra space.
C++ Solution
class Solution {
public:
int minDeletionSize(vector& strs) {
int n = strs.size(), m = strs[0].length();
int count = 0;
for (int j = 0; j < m; j++) {
for (int i = 1; i < n; i++) {
if (strs[i][j] < strs[i-1][j]) {
count++;
break;
}
}
}
return count;
}
};
Time Complexity: O(n * m)
Where n is the number of strings and m is the length of each string.
Space Complexity: O(1)
We only use a constant amount of extra space.
JavaScript Solution
/**
* @param {string[]} strs
* @return {number}
*/
var minDeletionSize = function(strs) {
const n = strs.length, m = strs[0].length;
let count = 0;
for (let j = 0; j < m; j++) {
for (let i = 1; i < n; i++) {
if (strs[i][j] < strs[i-1][j]) {
count++;
break;
}
}
}
return count;
};
Time Complexity: O(n * m)
Where n is the number of strings and m is the length of each string.
Space Complexity: O(1)
We only use a constant amount of extra space.
C# Solution
public class Solution {
public int MinDeletionSize(string[] strs) {
int n = strs.Length, m = strs[0].Length;
int count = 0;
for (int j = 0; j < m; j++) {
for (int i = 1; i < n; i++) {
if (strs[i][j] < strs[i-1][j]) {
count++;
break;
}
}
}
return count;
}
}
Time Complexity: O(n * m)
Where n is the number of strings and m is the length of each string.
Space Complexity: O(1)
We only use a constant amount of extra space.