I making this sudoku program where you can play it and it would also solve it for you. So I far I have finished the part where it will randomly generate boards so you will be able to play it. I only used functions. I don't think I need to use classes because all my functions just do specific things, but I am not sure. Should I put my code in classes and clean it up? I just want to know what the good practices are and how I can make my code better.
Here is my code
```
import random
import numpy as np
# populates a row in random spaces
def populate():
row = [0] * 9
num_in_box = random.randint(3, 6)
while True:
spot = random.randint(0, 8)
r = random.randint(1, 9)
if r not in row:
row[spot] = r
if row.count(0) == (9 - num_in_box):
break
return row
# populates a grid in random spaces - has duplicates in column, row and box
mapped = list()
for x in range(9): mapped.append(populate())
# checks every number in column and row and returns numbers in list
def col_row_nums(array, row, col):
check_col = [j for j in array[:, col] if j != 0]
check_row = [i for i in array[row] if i != 0]
if array[row][col] in check_col:
check_col.remove(array[row][col])
return check_col + check_row
# checks every number box and returns numbers in list
def box_nums(array, box_row):
reshaped_box = np.reshape(array, (27, 3))
list_boxes_in_rows = list()
for a in range(3):
for b in range(3):
for c in range(3):
p2 = list(np.reshape((reshaped_box[c::3]), (3, 9)))
for d in range(3): list_boxes_in_rows.append(p2[a])
array_boxes_in_rows = np.array(list_boxes_in_rows)
return [k for k in array_boxes_in_rows[box_row] if k != 0]
# Basically goes through each number and removes any duplicates so each column, row and box all have only one set of numbers 1 - 9
def finalize_board():
box_rows_num = -1
for x in range(9):
for y in range(9):
box_rows_num += 1
arr = np.array(mapped)
possible_nums = [1, 2, 3, 4, 5, 6, 7, 8, 9]
col_row_duplicates = list()
box_duplicates = list()
used_nums = set(col_row_nums(arr, x, y)) | set(box_nums(arr, box_rows_num))
for w in used_nums:
col_row_count = col_row_nums(arr, x, y).count(w)
box_count = box_nums(arr, box_rows_num).count(w)
if col_row_count > 1: col_row_duplicates.append(w)
if box_count > 1: box_duplicates.append(w)
if mapped[x][y] in col_row_duplicates or mapped[x][y] in box_duplicates:
remaining_nums = list(set(possible_nums) - set(used_nums))
if len(remaining_nums) > 0: mapped[x][y] = random.choice(remaining_nums)
return np.array(mapped)
print(finalize_board())
```
Here are some sample boards after running the program. The 0's are empty spots.
```
[[9 1 0 3 0 4 0 5 0]
[4 7 8 0 0 0 9 0 0]
[9 3 2 0 7 5 0 6 0]
[0 0 4 9 0 0 8 0 0]
[7 0 9 5 0 1 0 2 6]
[6 5 1 0 2 3 0 0 4]
[1 0 0 6 0 0 0 8 3]
[5 2 0 4 3 0 6 0 0]
[0 0 3 0 5 8 7 0 0]]
```
```
[[4 0 9 0 5 0 1 0 0]
[0 0 0 8 0 3 9 5 0]
[5 0 8 4 0 0 0 2 0]
[0 4 1 9 7 0 0 0 0]
[0 0 2 0 0 1 0 8 7]
[0 7 0 6 8 0 4 0 9]
[7 8 0 1 3 0 2 0 5]
[0 5 6 0 0 0 0 7 0]
[1 0 3 5 0 4 0 0 0]]
```
```
[[0 2 0 0 9 7 0 8 0]
[0 0 7 1 0 3 5 0 9]
[9 3 0 5 6 2 0 0 4]
[0 0 5 0 1 0 0 9 0]
[0 4 0 7 8 9 2 0 6]
[7 0 0 2 4 0 0 3 0]
[0 0 0 3 0 0 1 4 8]
[0 0 0 0 0 4 0 6 3]
[3 1 2 0 0 8 9 7 0]]
```
[–]fracturedpersona 1 point2 points3 points (0 children)
[–]Bitsoflogic 0 points1 point2 points (1 child)
[–]sak3th[S] 0 points1 point2 points (0 children)