将函数应用于字典值不起作用

问题描述

我正在尝试使用以下代码块将gower_matrix包中的gower函数应用于字典的值：

import gower
import pandas as pd
from itertools import chain,combinations
from pydataset import data
from toolz.dicttoolz import valmap

cars = data('mtcars')
vnames=cars.columns
def powerset(iterable):
    "powerset([1,2,3]) --> () (1,) (2,) (3,) (1,2) (1,3) (2,3) (1,3)"
    s = list(iterable)
    return chain.from_iterable(combinations(s,r) for r in range(1,len(s)+1))

combos=list(powerset(vnames))
combos=list(map(list,list(powerset(vnames))))
combo_dicts = {}
keys = range(len(combos))

for i in keys:
        combo_dicts[i] = cars[combos[i]]
        
gower_dicts = valmap(gower.gower_matrix,combo_dicts)

但是我收到以下错误

TypeError: ufunc 'true_divide' output (typecode 'd') 
Could not be coerced to provided output parameter (typecode 'q') 
according to the casting rule ''same_kind''

将其应用于特定的词典项目有效

gower.gower_matrix(combo_dicts[100])


array([[0.,0.02173357,0.19395797,...,0.12646227,0.35655078,0.11454861],[0.02173357,0.,0.21569154,0.12262693,0.3348172,0.10900868],[0.19395797,0.32042024,0.55050874,0.10668287],[0.12646227,0.23008852,0.21544196],[0.35655078,0.44382587],[0.11454861,0.10900868,0.10668287,0.21544196,0.44382587,0.        ]],dtype=float32)

对这个问题有任何想法吗？

解决方法

基于对ufunc 'true_divide' output的网络搜索，appears尝试将整数值数组除以by时发生错误（不是Numpy错误，但行为在几年前发生了更改）。浮点值。传递浮点值似乎是gower包的未指定要求。因此，请首先转换cars数据。我的猜测是，您有一些包含浮点值的列，而另一些包含整数。 combo_dicts的测试元素可以正常工作，因为它恰好是仅由浮点列生成的。