Python：循环矩阵以检查向量打印字符串中的值+还有行/列值

Question

我有这个向量：

possibleGrades = np.array([-3,0,2,4,7,10,12])

还有这个矩阵：

matrix=np.array([[7,7,4],[12,10,10],[-3,7,2],[10,8,12],[nan,7,nan],[7,7,10],[4.5,nan,2],[2,12,4]])

然后是这段代码：

line, col = np.where(np.isin(matrixGrades, possibleGrades, invert=True))
print('Displaying incorrect or missing grades: \n')
[print(f'Incorrect or missing grade in row {line[i]} in column {col[i]}! Displaying the incorrect grade: {INSERT VALUE}.') for i in range(line.size)]

它应该将 4.5、8 和 nan（csv 文件中没有值）识别为不正确的值。

在这一行：[print(f'Incorrect or missing grade in row {line[i]} in column {col[i]}! Displaying the incorrect grade: {INSERT VALUE}.') for i in range(line.size)]

如何让它在行中显示完全不正确的值？我尝试插入{matrix[i]}，但没有帮助。

我现在的输出：没有“INSERT VALUE”：

Displaying incorrect or missing grades: 

Incorrect or missing grade in row 3 in column 1! Displaying the incorrect grade: .
Incorrect or missing grade in row 4 in column 0! Displaying the incorrect grade: .
Incorrect or missing grade in row 4 in column 2! Displaying the incorrect grade: .
Incorrect or missing grade in row 6 in column 0! Displaying the incorrect grade: .
Incorrect or missing grade in row 6 in column 1! Displaying the incorrect grade: .

Answer 1

您的代码几乎是正确的。稍加修改即可获得所需的输出：

import numpy as np

possibleGrades = np.array([-3, 0, 2, 4, 7, 10, 12])
matrix = np.array([[7, 7, 4], [12, 10, 10], [-3, 7, 2], [10, 8, 12],
                   [np.nan, 7, np.nan],
                   [7, 7, 10], [4.5, np.nan, 2], [2, 12, 4]])

match = np.transpose(np.where(np.isin(matrix, possibleGrades, invert=True)))

print('Displaying incorrect or missing grades:')
for row, col in match:
    print(f"Incorrect or missing grade in row {row + 1} in"
          f"column {col + 1}! Displaying",
          f"the incorrect grade: {matrix[row, col]}.")

要获得错误等级的值，只需使用先前获得的索引在 matrix 数组中进行评估。示例输出：

Displaying incorrect or missing grades:
Incorrect or missing grade in row 4 incolumn 2! Displaying the incorrect grade: 8.0.
Incorrect or missing grade in row 5 incolumn 1! Displaying the incorrect grade: nan.
Incorrect or missing grade in row 5 incolumn 3! Displaying the incorrect grade: nan.
Incorrect or missing grade in row 7 incolumn 1! Displaying the incorrect grade: 4.5.
Incorrect or missing grade in row 7 incolumn 2! Displaying the incorrect grade: nan.