数据集如下

storeid,revenue,profit,country101,11434,2345,IN101,12132,3445,US102,21343,4545,CH103,34423,3432,CH103,43435,3234,JP103,34345,3335,IN

代码如下

import pandas as pdfrom sklearn.cluster import DBSCANimport matplotlib.pyplot as pltimport numpy as npfrom sklearn.preprocessing import StandardScalerimport seaborn as snsfrom pylab import rcParamsfrom collections import Countersns.set(rc={'figure.figsize':(11.7,8.27)})sns.set_style('whitegrid')df = pd.read_csv('1.csv',index_col=None)df.head()df.columns = df.columns.str.replace(' ', '')dummies = pd.get_dummies(data = df)del dummies['Unnamed:0']model = DBSCAN(eps = 2.25, min_samples=19).fit(dummies)print (model)target = dummies.iloc[:,0]data = dummies.iloc[:,1:-1]outliers_df = pd.DataFrame(data)print (Counter(model.labels_))print(outliers_df(model.labels_==-1)) 

print(outliers_df(model.labels_==-1)) 抛出 TypeError: ‘DataFrame’ 对象不可调用

回答：

使用 布尔索引 与 [] 来按掩码过滤:

print(outliers_df[model.labels_==-1])    revenue  profit  country_CH  country_IN  country_JP0    11434    2345           0           1           01    12132    3445           0           0           02    21343    4545           1           0           03    34423    3432           1           0           04    43435    3234           0           0           15    34345    3335           0           1           0