Can you fix this code? It should also work with any data file.
The find_neighbor_values() function finds the neighbours given the coordinate location (row,
col).
The fill_gaps() function estimates the missing land values within the grid and updates the grid.
The data file is:
4
4
1
0
3
4
5
6
7
8
9
10
11
12
13
14
15
16
The expected outcome should look like this:
Sim City land values:
1 0 3 4
5 6 7 8
9 10 11 12
13 14 15 16
Calculated Sim City land values:
1 4 3 4
5 6 7 8
9 10 11 12
13 14 15 16
But instead looks like this:
Sim City land values:
4
4
1
0
3
4
5
6
7
8
9
10
11
12
13
14
15
16
Calculated Sim City land values:
4
4
1
0
3
4
5
6
7
8
9
10
11
12
13
14
15
16
My code:
import copy
def create_grid(filename: str) -> list[list[int]]:
"""
Create a grid of land values from a file
"""
with open(filename) as file:
lines = file.readlines()
grid = [[int(value) for value in line.strip().split()] for line in lines]
return grid
def display_grid(grid: list[list[int]]) -> None:
"""
Display a grid of land values
"""
for row in grid:
for value in row:
print(f"{value:8}", end="")
print()
def find_neighbor_values(grid: list[list[int]], row: int, col: int) -> list[int]:
"""
Find the neighbors of a cell
"""
neighbors = []
num_rows = len(grid)
num_cols = len(grid[0])
# Check cells to the left and right
for c in range(col-1, col+2):
if c >= 0 and c < num_cols and c != col:
neighbors.append(grid[row][c])
# Check cells above and below
for r in range(row-1, row+2):
if r >= 0 and r < num_rows and r != row:
neighbors.append(grid[r][col])
return neighbors
from copy import deepcopy
def fill_gaps(grid: list[list[int]]) -> list[list[int]]:
"""
Fill the gaps in the grid
Creates a new grid with the same dimensions as the original grid
Calls find_neighbor_values() to find the neighbors of each cell
Do NOT modify the original grid!
"""
new_grid = deepcopy(grid)
for i in range(len(grid)):
for j in range(len(grid[i])):
if grid[i][j] == -1:
neighbors = find_neighbor_values(grid, i, j)
total = 0
count = 0
for value in neighbors:
if value != -1:
total += value
count += 1
if count > 0:
new_grid[i][j] = total // count
return new_grid
def main() -> None:
"""
Main program.
"""
grid = create_grid("data_0.txt")
print("Sim City land values:")
display_grid(grid)
print("\nCalculated Sim City land values:")
new_grid = fill_gaps(grid)
display_grid(new_grid)
if __name__ == "__main__":
main()
Please test the code before handing in..
Z Score,T Score, Percential Rank and Box Plot Graph
Can you fix this code It should also work with any data file.The .pdf
1. Can you fix this code? It should also work with any data file.
The find_neighbor_values() function finds the neighbours given the coordinate location (row,
col).
The fill_gaps() function estimates the missing land values within the grid and updates the grid.
The data file is:
4
4
1
0
3
4
5
6
7
8
9
10
11
12
13
14
15
16
The expected outcome should look like this:
Sim City land values:
1 0 3 4
5 6 7 8
9 10 11 12
13 14 15 16
Calculated Sim City land values:
1 4 3 4
5 6 7 8
9 10 11 12
2. 13 14 15 16
But instead looks like this:
Sim City land values:
4
4
1
0
3
4
5
6
7
8
9
10
11
12
13
14
15
16
Calculated Sim City land values:
4
4
1
0
3
4
5
6
7
8
9
10
11
12
3. 13
14
15
16
My code:
import copy
def create_grid(filename: str) -> list[list[int]]:
"""
Create a grid of land values from a file
"""
with open(filename) as file:
lines = file.readlines()
grid = [[int(value) for value in line.strip().split()] for line in lines]
return grid
def display_grid(grid: list[list[int]]) -> None:
"""
Display a grid of land values
"""
for row in grid:
for value in row:
print(f"{value:8}", end="")
print()
def find_neighbor_values(grid: list[list[int]], row: int, col: int) -> list[int]:
"""
Find the neighbors of a cell
"""
neighbors = []
num_rows = len(grid)
num_cols = len(grid[0])
# Check cells to the left and right
for c in range(col-1, col+2):
if c >= 0 and c < num_cols and c != col:
neighbors.append(grid[row][c])
# Check cells above and below
for r in range(row-1, row+2):
if r >= 0 and r < num_rows and r != row:
4. neighbors.append(grid[r][col])
return neighbors
from copy import deepcopy
def fill_gaps(grid: list[list[int]]) -> list[list[int]]:
"""
Fill the gaps in the grid
Creates a new grid with the same dimensions as the original grid
Calls find_neighbor_values() to find the neighbors of each cell
Do NOT modify the original grid!
"""
new_grid = deepcopy(grid)
for i in range(len(grid)):
for j in range(len(grid[i])):
if grid[i][j] == -1:
neighbors = find_neighbor_values(grid, i, j)
total = 0
count = 0
for value in neighbors:
if value != -1:
total += value
count += 1
if count > 0:
new_grid[i][j] = total // count
return new_grid
def main() -> None:
"""
Main program.
"""
grid = create_grid("data_0.txt")
print("Sim City land values:")
display_grid(grid)
print("nCalculated Sim City land values:")
new_grid = fill_gaps(grid)
display_grid(new_grid)
if __name__ == "__main__":
main()
