类型错误：float() 参数

Question

我是 python 新手，python 中的数组有问题。所以我有一个像这样的列表的数据，我给这个列表的变量名是 fitur:

[['F11', '1', '0', '0'], ['F2', '1', '1', '0'], ['F4', '1', '0', '0']]

然后我有一个条件为正和负的概率，索引[0]属于F11索引[1]属于F2，索引[2]属于F4

Here is positif (bpf_pos)
[0.42857142857142855, 0.5714285714285714, 0.5714285714285714]
and here is negatif (bpf_neg)
[0.14285714285714285, 0.2857142857142857, 0.2857142857142857]

我有公式：

f_pd_neg = (bpf_neg[i] ** float(uji[1])) * ((1 - bpf_neg[i]) ** (1 - float(uji[1])))
f_pd_pos = (bpf_pos[i] ** float(uji[1])) * ((1 - bpf_pos[i]) ** (1 - float(uji[1])))

所以这是我的问题，我想用 fitur 计算公式中的概率。例如 bpf_neg[0] ** 1 (from the list in F11) * ((1- bpf_neg[0] ** (1 - 1) 以此类推，直到列表 F11 中的值完成

我期望我有这样的输出

Positif is:
0 [0.571428571,0.571428571,0.428571429]
1 [0.428571429,0.571428571,0.571428571]
2 [0.571428571,0.428571429,0.428571429]
Negatif is:
0 [0.285714286,0.285714286,0.714285714]
1 [0.142857143,0.857142857,0.857142857]
2 [0.285714286,0.714285714,0.714285714]

这是我的代码：

d_neg = []
d_pos = []
for i, uji in enumerate(ab):
    f_pd_neg = (bpf_neg[i] ** float(uji[1])) * ((1 - bpf_neg[i]) ** (1 - float(uji[1])))
    f_pd_pos = (bpf_pos[i] ** float(uji[1])) * ((1 - bpf_pos[i]) ** (1 - float(uji[1])))
    d_pos.append(f_pd_pos)
    d_neg.append(f_pd_neg)

我试过float(uji[1:]) 我得到了错误TypeError: float() argument must be a string or a number

我该如何解决？我希望你能理解，因为我的英语很糟糕

Answer 1

@RazBarb 试试这个，我想我明白了，结果是一样的，

lst = [['F11', '1', '0', '0'], ['F2', '1', '1', '0'], ['F4', '1', '0', '0']]

bpf_pos = [0.42857142857142855, 0.5714285714285714, 0.5714285714285714]
bpf_neg = [0.14285714285714285, 0.2857142857142857, 0.2857142857142857]

d_neg = []
d_pos = []
for i, uji in enumerate(lst):
    f_pd_neg = []
    f_pd_pos = []
    for x in uji[1:]:
        f_pd_neg.append(round((bpf_neg[i] ** float(x)) * ((1 - bpf_neg[i]) ** (1 - float(x))), 9) * 10)
        f_pd_pos.append(round((bpf_pos[i] ** float(x)) * ((1 - bpf_pos[i]) ** (1 - float(x))), 9) * 10)
    d_neg.append(f_pd_neg)
    d_pos.append(f_pd_pos)

for i, neg in enumerate(d_neg):
    print(i, neg)

for i, pos in enumerate(d_pos):
    print(i, pos)

输出

# pos
0 [0.142857143, 0.857142857, 0.857142857]
1 [0.285714286, 0.285714286, 0.714285714]
2 [0.285714286, 0.714285714, 0.714285714]

# neg
0 [0.428571429, 0.571428571, 0.571428571]
1 [0.571428571, 0.571428571, 0.428571429]
2 [0.571428571, 0.428571429, 0.428571429]

每列乘以 10 后的输出

[1.4285714299999999, 8.57142857, 8.57142857]
[2.8571428599999997, 2.8571428599999997, 7.142857139999999]
[2.8571428599999997, 7.142857139999999, 7.142857139999999]
[4.28571429, 5.71428571, 5.71428571]
[5.71428571, 5.71428571, 4.28571429]
[5.71428571, 4.28571429, 4.28571429]