如何修复"Float"对象没有属性"exp"? [英] How to fix 'Float' object has no attribute 'exp'?

问题描述

我在Python中具有以下高斯方程:

I have the following Gaussian equation in Python:

numpy.exp((-(x-m)**2)/(2*sigma))

提供x是矩阵.

但是，等式无法运行，并且出现以下错误:

However, the equation won't run, and I get the following error:

AttributeError: 'Float' object has no attribute 'exp'

我该如何解决这个问题?

How can I solve this issue?

EDIT-1

进行以下

map(float(),np.exp((-(x-m)**2)/(2*sigma)))

引发错误:

TypeError: 'float' object is not callable

EDIT-2

这是值x的示例:

[[-0.20646505  0.07763347 -0.16161097  0.370439  ]
 [-0.91295327 -0.73768934 -0.78909055  0.06156045]
 [-0.37242104  0.51828245 -1.16138222 -0.02489585]
 [-1.07890926 -0.29704036 -1.7888618  -0.3337744 ]]

m = 5
sigma = 1

谢谢.

推荐答案

可能是因为您将数组的dtype作为对象，所以将其转换为float

It maybe because you have your array's dtype as object so convert it to float i.e

x = np.array([[-0.20646505,  0.07763347, -0.16161097,  0.370439  ],
              [-0.91295327,-0.73768934, -0.78909055,  0.06156045],
              [-0.37242104,  0.51828245, -1.16138222, -0.02489585],
              [-1.07890926, -0.29704036, -1.7888618,  -0.3337744 ]],dtype=object)

m = 5
sigma = 1
np.exp((-(x-m)**2)/(2*sigma)) 

这将导致:

 AttributeError: 'float' object has no attribute 'exp'

将其转换为浮点值，即

np.exp((-(x.astype(float)-m)**2)/(2*sigma))

array([[  1.29935943e-06,   5.47758566e-06,   1.63950875e-06,
      2.21778276e-05],
   [  2.55786406e-08,   7.10033001e-08,   5.27984133e-08,
      5.06026050e-06],
   [  5.40131118e-07,   4.34936286e-05,   5.70846640e-09,
      3.28945338e-06],
   [  9.45644899e-09,   8.07503629e-07,   9.81698210e-11,
      6.64271640e-07]])

这也取决于您使用的numpy版本.您还应该尝试更新numpy，因此已修复了许多错误.

This also depends on the numpy version you are using. You should also try updating numpy, so many bugs have been fixed.

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