How to find 2 integers that can form the numerical values of a list and structure the answers in another list?

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英文:

How to find 2 integers that can form the numerical values of a list and structure the answers in another list?

问题

#给定以下两个示例表格(总是两个表格具有相同的维度)

tabla_ganancias = [[5, 6, 3, 5, 5], 
                   [2, 5, 3, 1, 0], 
                   [2, 4, 0, 1, 1]]

tabla_asignaciones = [[ 140,  220, None,   80,   60], 
                      [None, None,  330, None, None], 
                      [None, None,   30, None,   90]]

tabla_resultado = []
rows = len(tabla_ganancias)
columns = len(tabla_ganancias[0])

#创建结果表格并对收益进行分解的代码
#此处存在问题

#打印获取的结果
print(tabla_resultado)
for lista in tabla_resultado: print(lista)

我将分解tabla_ganancias中与tabla_asignaciones中的非空单元格(即非None)对应的值,将收益值的分解放置在最后一行和最后一列中。在这种情况下,收益的值将被分解(分解是指找到两个整数,它们相加得到):

收益值5变成2行2列,3列的分解---> 2 + 3 = 5

收益值6变成2行4列的分解---> 2 + 4 = 6

收益值5变成2行3列的分解---> 2 + 3 = 5

收益值5变成2行3列的分解---> 2 + 3 = 5

收益值3变成1行2列的分解---> 1 + 2 = 3

收益值0变成2行-2列的分解---> 2 + (-2) = 0

收益值1变成-2行3列的分解---> -2 + 3 = 1

因此,最终表格的最后一行和最后一列将包含收益的分解。注意,tabla_resultadotabla_asignaciones,但具有收益分解的行和列。

#分解的值将存储在tabla_resultado的最后一行和最后一列中。

#解决问题所需的方程组
# X1 + Y1 = 5
# X2 + Y1 = 6
# X4 + Y1 = 5
# X5 + Y1 = 5
# X3 + Y2 = 3
# X3 + Y3 = 0
# X5 + Y3 = 1

#tabla_resultado = [[ 140,  220, None,   80,   60,    Y1], 
#                   [None, None,  330, None, None,    Y2], 
#                   [None, None,   30, None,   90,    Y3], 
#                   [  X1,   X2,   X3,   X4,   X5,  None]]

tabla_resultado = [[ 140,  220, None,   80,   60,    2], 
                   [None, None,  330, None, None,    1], 
                   [None, None,   30, None,   90,   -2], 
                   [   3,    4,    2,    3,    3, None]]
英文:
#Given the following 2 example tables (always both tables have the same dimensions)

tabla_ganancias = [[5, 6, 3, 5, 5], 
                   [2, 5, 3, 1, 0], 
                   [2, 4, 0, 1, 1]]

tabla_asignaciones = [[ 140,  220, None,   80,   60], 
                      [None, None,  330, None, None], 
                      [None, None,   30, None,   90]]

tabla_resultado = []
rows = len(tabla_ganancias)
columns = len(tabla_ganancias[0])

#Code that creates result_table and does the decomposition of the profits
#HERE THE PROBLEM

#Print the results obtained
print(tabla_resultado)
for lista in tabla_resultado: print(lista)

I decompose the values of tabla_ganancias that correspond to the non-empty cells (that is, they are not None) of tabla_assignments, placing the decomposition of the values of the earnings in the last of the rows and in the last of the columns .

In this case, the values of the profits would be broken down (by breaking down I mean finding 2 integers that add up to form):

The gain value 5 become in 2 in a row and 3 in a column ---> 2 + 3 = 5

The gain value 6 become in 2 in a row and 4 in a column ---> 2 + 4 = 6

The gain value 5 become in 2 in a row and 3 in a column ---> 2 + 3 = 5

The gain value 5 become in 2 in a row and 3 in a column ---> 2 + 3 = 5

The gain value 3 become in 1 in a row and 2 in a column ---> 1 + 2 = 3

The gain value 0 become in 2 in a row and -2 in a column ---> 2 + (-2) = 0

The gain value 1 become in -2 in a row and 3 in a column ---> -2 + 3 = 1

So that there is a resulting table having in its last row and its last column the decomposition of the profits. Note that tabla_resultado is the tabla_asignaciones but with the row and column of the decompositions of the profits

#The decomposed values will be stored in the last row and last column of tabla_resultado.


#System of equations that should be solved to find the values that I need to build the last of the rows and the last of the columns of tabla_resultado
# X1 + Y1 = 5
# X2 + Y1 = 6
# X4 + Y1 = 5
# X5 + Y1 = 5
# X3 + Y2 = 3
# X3 + Y3 = 0
# X5 + Y3 = 1

#tabla_resultado = [[ 140,  220, None,   80,   60,    Y1], 
#                   [None, None,  330, None, None,    Y2], 
#                   [None, None,   30, None,   90,    Y3], 
#                   [  X1,   X2,   X3,   X4,   X5,  None]]

tabla_resultado = [[ 140,  220, None,   80,   60,    2], 
                   [None, None,  330, None, None,    1], 
                   [None, None,   30, None,   90,   -2], 
                   [   3,    4,    2,    3,    3, None]]

This code not work, but I add this

#Given the following 2 example tables (always both tables have the same dimensions)

tabla_ganancias = [[5, 6, 3, 5, 5], 
                   [2, 5, 3, 1, 0], 
                   [2, 4, 0, 1, 1]]

tabla_asignaciones = [[ 140,  220, None,   80,   60], 
                      [None, None,  330, None, None], 
                      [None, None,   30, None,   90]]


tabla_resultado = []
rows = len(tabla_ganancias)
columns = len(tabla_ganancias[0])

for i in range(rows):
    tabla_resultado.append([])
    for j in range(columns):
        if tabla_asignaciones[i][j] is not None:
            value = tabla_ganancias[i][j]
            x = value // 2
            y = value - x
            tabla_resultado[i].append(x)
            if len(tabla_resultado) <= j+rows:
                tabla_resultado.append([None] * (rows+1))
            tabla_resultado[i][j+rows] = y
        else:
            tabla_resultado[i].append(None)

# Print the results obtained
print(tabla_resultado)
for lista in tabla_resultado: print(lista)

But I get that error

Traceback (most recent call last):
    tabla_resultado[i][j+rows] = y
IndexError: list assignment index out of range

Become the problem to System of Linear Equations
How to find 2 integers that can form the numerical values of a list and structure the answers in another list?

答案1

得分: 1

答案不是修复你的代码中的IndexError,而是实现你所期望的输出。当你尝试创建一个由None组成的列表时,避免使用[None] * n,可以参考这个答案:List of lists changes reflected across sublists unexpectedly

以下是代码部分:

rows = len(tabla_ganancias)
columns = len(tabla_ganancias[0])
# 为每一行追加一个None
[tabla_asignaciones[t].append(None) for t in range(rows)]

# 为最后一行追加一个由None组成的列表
add_row_list = [None for t in range(columns+1)]
tabla_asignaciones.append(add_row_list)

for i in range(rows):
    for j in range(columns):
        # 检查tabla_asignaciones中是否为None
        if tabla_asignaciones[i][j] is not None:
            value = tabla_ganancias[i][j]

            # 如果X和Y都没有值
            if add_row_list[j] is None and tabla_asignaciones[i][columns] is None:
                x = value // 2
                y = value - x
                tabla_asignaciones[rows][j] = y
                tabla_asignaciones[i][columns] = x
            # 如果X没有值但Y有值
            elif add_row_list[j] is None and not tabla_asignaciones[i][columns] is None:
                tabla_asignaciones[rows][j] = value - tabla_asignaciones[i][columns]
            # 如果X有值但Y没有值
            elif not add_row_list[j] is None and tabla_asignaciones[i][columns] is None:
                tabla_asignaciones[i][columns] = value - tabla_asignaciones[rows][j]

结果是tabla_asignaciones

[[140, 220, None, 80, 60, 2],
[None, None, 330, None, None, 1],
[None, None, 30, None, 90, -2],
[3, 4, 2, 3, 3, None]]
英文:

The answer is not to fix the IndexError in your code, but to achieve your desired output. And also when you try to create a list of None, avoid using [None] * n, refer to this answer : List of lists changes reflected across sublists unexpectedly.

Here is the code, I have added some comments :

rows = len(tabla_ganancias)
columns = len(tabla_ganancias[0])
# Append a None for each row 
[tabla_asignaciones[t].append(None) for t in range(rows)]

# Append a list of None as the last row
add_row_list = [None for t in range(columns+1)]
tabla_asignaciones.append(add_row_list)

for i in range(rows):
    for j in range(columns):
        # Check if is None in tabla_asignaciones
        if tabla_asignaciones[i][j] is not None:
            value = tabla_ganancias[i][j]
            
            # If don't have value in X and Y
            if add_row_list[j] is None and tabla_asignaciones[i][columns] is None:
                x = value // 2
                y = value - x
                tabla_asignaciones[rows][j] = y
                tabla_asignaciones[i][columns] = x
            # If don't have value in X but have value in  Y
            elif add_row_list[j] is None and  not tabla_asignaciones[i][columns] is None:
                tabla_asignaciones[rows][j] = value - tabla_asignaciones[i][columns]
            # If have value in X but don't have value in  Y
            elif not add_row_list[j] is None and tabla_asignaciones[i][columns] is None:
                tabla_asignaciones[i][columns] = value - tabla_asignaciones[rows][j]

The result is tabla_asignaciones:

> [[140, 220, None, 80, 60, 2],
>
> [None, None, 330, None, None, 1],
>
> [None, None, 30, None, 90, -2],
>
> [3, 4, 2, 3, 3, None]]

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  • 本文由 发表于 2023年6月22日 13:22:48
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