[0, 0, 3, 0, 0]
[0, 1, 0, 0, 6]
[1, 0, 0, 9, 0]
[0, 0, 2, 0, 0]

(m * n)/2

def isSparse(array, m, n):
   counter = 0
   # Count number of zeros
   for i in range(0, m):
      for j in range(0, n):
         if (array[i][j] == 0):
            counter = counter + 1
   return (counter > ((m * n) // 2))

arr = [[0, 0, 3],
       [0, 0, 0],
       [1, 8, 0]]

print("原始矩阵: ")
for row in arr:
   print(row)
print()

# check if the given matrix is sparse matrix or not
if (isSparse(arr, len(arr), len(arr[0]))):
   print("给定的矩阵是稀疏矩阵")
else:
   print("给定的矩阵不是稀疏矩阵")

原始矩阵: 
[0, 0, 3]
[0, 0, 0]
[1, 8, 0]

给定的矩阵是稀疏矩阵

def isSparse(array, m, n):
   counter = 0
   # Count number of zeros
   for i in array:
      counter += i.count(0)
   return (counter > ((m * n) // 2))

arr = [[0, 0, 3],
       [0, 0, 0],
       [1, 8, 0]]

print("原始矩阵: ")
for row in arr:
   print(row)
print()

# check if the given matrix is sparse matrix or not
if (isSparse(arr, len(arr), len(arr[0]))):
   print("给定的矩阵是稀疏矩阵")
else:
   print("给定的矩阵不是稀疏矩阵")

原始矩阵: 
[0, 0, 3]
[0, 0, 0]
[1, 8, 0]

给定的矩阵是稀疏矩阵

from scipy.sparse import issparse, csr_matrix
arr = [[0, 0, 3],
       [0, 0, 0],
       [1, 8, 0]]

matrix = csr_matrix(arr)

print("原始矩阵: ")
print(matrix)
print()

# 检查给定矩阵是否为稀疏矩阵
if (issparse(matrix)):
   print("给定矩阵是稀疏矩阵")
else:
   print("给定矩阵不是稀疏矩阵")

原始矩阵: 
  (0, 2)    3
  (2, 0)    1
  (2, 1)    8

给定矩阵是稀疏矩阵