## Best way to handle boundary check for 2D list in python?

I have one 2D list like following, I want to change cell value from 1 to 0 if the cell surrounding cell is 0 like

from [ [1, 0, 1, 0, 1], [0, 0, 1, 0, 0], [0, 0, 0, 0, 0], [1, 0, 1, 0, 1], [0, 0, 0, 0, 0], [1, 0, 1, 0, 1], ] To [ [0, 0, 1, 0, 0], [0, 0, 1, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], ]

I think I can use 8 if/else logic to check but wondering if there is a better or clean way to do it?

I will make use of python generator to get the valid neighbors, and use the `all`

to check if all the neighbors are zero.

def update_cell(grid): if not grid or not grid[0]: return m, n = len(grid), len(grid[0]) def is_valid(i, j): return 0 <= i < m and 0 <= j < n def neighbors(i, j): for di, dj in [(0, 1), (0, -1), (1, 0), (-1, 0), (-1, 1), (-1, -1), (1, -1), (1, 1)]: ni, nj = i+di, j+dj if is_valid(ni, nj): yield ni, nj for i in range(m): for j in range(n): if grid[i][j] and all(not grid[ni][nj] for ni, nj in neighbors(i, j)): grid[i][j] = 0 if __name__ == "__main__": grid = [ [1, 0, 1, 0, 1], [0, 0, 1, 0, 0], [0, 0, 0, 0, 0], [1, 0, 1, 0, 1], [0, 0, 0, 0, 0], [1, 0, 1, 0, 1], ] update_cell(grid) print(grid) # prints #[[0, 0, 1, 0, 0], # [0, 0, 1, 0, 0], # [0, 0, 0, 0, 0], # [0, 0, 0, 0, 0], # [0, 0, 0, 0, 0], # [0, 0, 0, 0, 0]]

**How to find neighbors of a 2D list in python?,** Given a 2D array(m x n). The task is to check if there is any path from top left to bottom right. In the matrix, -1 is considered as blockage (can't go through this cell) � this is what I have so far but it stops at the first iteration of the loops thinking the first element inside the string is B then will return False without ever getting to the 4th element of the first list.

**Check for possible path in 2D matrix,** Boundary elements are those elements which are not surrounded by elements Please solve it on “PRACTICE ” first, before moving on to the solution. Traverse the matrix and check for every element if that element lies on the boundary or not, If the element lies in the boundary of matrix, then print the element, i.e. if the� Given a 2D list, write a Python program to convert the given list into a flattened list. Method #1: Using chain.iterable()

I'd write the if's, but generating neighbors as in the other answer is elegant.

If you can alter the data structure *and* need speed then you can use ghost cells.

Surround your grid with zeros like this :

0 0 0 0 1 2 0 1 2 0 4 5 0 4 5 0 0 0 0 0

Then you can iterate from 1..n-1 and always have all neighbours

**Boundary elements of a Matrix,** NumPy specifies the row-axis (students) of a 2D array as “axis-0” and the latest exam score - you need not check how many exams the students have taken. The Python Shapefile Library (pyshp) provides read and write support for the Esri Shapefile format. The Shapefile format is a popular Geographic Information System vector data format created by Esri. To Install pyshp, execute below instruction in your Terminal: pip install pyshp 3. Importing and initializing main Python libraries

One way would be:

def neighbors(m,r,c): return sum(( sum(m[r-1][max(0,c-1):c+2]) if 0 <= r-1 < len(m) else 0, sum(m[r ][max(0,c-1):c+2]) if 0 <= r < len(m) else 0, sum(m[r+1][max(0,c-1):c+2]) if 0 <= r+1 < len(m) else 0, )) - m[r][c]

It takes the sum of the 3x3 square around the `(r,c)`

element, then subtracts the value at `(r,c)`

.

There are innumerable ways to clean this up based on preference, for example:

def neighbors(m,r,c): return sum( sum(m[x][max(0,c-1):c+2]) for x in [r-1,r,r+1] if 0 <= x < len(m) ) - m[r][c]

The only real somewhat clever thing here is that you can sort of side-step out of bounds errors by using slicing. So `x = [1,2,3]; print(x[100:200])`

will just print an empty list, no `IndexError`

.

Do I think you should use this code instead of a simple nested for loop? *Almost definitely not.*

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