我收到以下错误:
TypeError Traceback (most recent call last)
C:\Users\levanim\Desktop\Levani Predictive\cosinesimilarity1.py in <module>()
39
40 for i in meowmix_nearest_neighbors.index:
---> 41 top_ten = pd.DataFrame(similarity_matrix.ix[i,]).sort([i],
ascending=False[1:6]).index.values
42 meowmix_nearest_neighbors.ix[i,:] = top_ten
43
TypeError: 'bool' object is not subscriptable
以下代码。我是 Python 新手,不太清楚如何更改语法(如果它是 python 3 语法问题)。有人遇到这种情况吗?我认为这与 ascending=False[1:6] 部分有关,并且花了一些时间将我的头撞在墙上。希望这是一个简单的修复,但还不够了解
import numpy as np
import pandas as pd
from scipy.spatial.distance import cosine
enrollments = pd.read_csv(r'C:\Users\levanim\Desktop\Levani
Predictive\smallsample.csv')
meowmix = enrollments.fillna(0)
meowmix.ix[0:5,0:5]
def getCosine(x,y) :
cosine = np.sum(x*y) / (np.sqrt(np.sum(x*x)) * np.sqrt(np.sum(y*y)))
return cosine
print("done creating cosine function")
similarity_matrix = pd.DataFrame(index=meowmix.columns,
columns=meowmix.columns)
similarity_matrix = similarity_matrix.fillna(np.nan)
similarity_matrix.ix[0:5,0:5]
print("done creating a matrix placeholder")
for i in similarity_matrix.columns:
for j in similarity_matrix.columns:
similarity_matrix.ix[i,j] = getCosine(meowmix[i].values,
meowmix[j].values)
print("done looping through each column and filling in placeholder with
cosine similarities")
meowmix_nearest_neighbors = pd.DataFrame(index=meowmix.columns,
columns=['top_'+str(i+1) for i in
range(5)])
meowmix_nearest_neighbors = meowmix_nearest_neighbors.fillna(np.nan)
print("done creating a nearest neighbor placeholder for each item")
for i in meowmix_nearest_neighbors.index:
top_ten = pd.DataFrame(similarity_matrix.ix[i,]).sort([i],
ascending=False[1:6]).index.values
meowmix_nearest_neighbors.ix[i,:] = top_ten
print("done creating the top 5 neighbors for each item")
meowmix_nearest_neighbors.head()
最佳答案
而不是
top_ten = pd.DataFrame(similarity_matrix.ix[i,]).sort([i],
ascending=False[1:6]).index.values
使用
top_ten = pd.DataFrame(similarity_matrix.ix[i,]).sort([i],
ascending=False), [1:6]).index.values
(即在 False
之后插入 ),
。)
False
是 sort()
方法参数的值,含义是“不按升序排列”,即。 e.需要降序。因此,您需要使用 )
终止 sort()
方法参数列表,然后分隔 DataFrame
的 第一个参数> 来自第二个的构造函数,带有 ,
。
[1:6]
是 DataFrame 构造函数的第二个参数(用于结果帧的索引)
关于python - 类型错误 : 'bool' object is not subscriptable Python 3,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/44337101/