TypeError: 'DataFrame' 对象不可用于 DBscan答案

【问题标题】：TypeError: 'DataFrame' object is not callable for DBscanTypeError: 'DataFrame' 对象不可用于 DBscan
【发布时间】：2020-09-27 00:42:05
【问题描述】：

数据集如下

storeid,revenue,profit,country
101,11434,2345,IN
101,12132,3445,US
102,21343,4545,CH
103,34423,3432,CH
103,43435,3234,JP
103,34345,3335,IN

代码如下

import pandas as pd
from sklearn.cluster import DBSCAN
import matplotlib.pyplot as plt
import numpy as np
from sklearn.preprocessing import StandardScaler
import seaborn as sns
from pylab import rcParams
from collections import Counter
sns.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)) throwing TypeError: 'DataFrame' object is not callable

【问题讨论】：

标签： python pandas machine-learning dbscan

【解决方案1】：

使用boolean indexing 和[] 进行掩码过滤：

print(outliers_df[model.labels_==-1]) 
   revenue  profit  country_CH  country_IN  country_JP
0    11434    2345           0           1           0
1    12132    3445           0           0           0
2    21343    4545           1           0           0
3    34423    3432           1           0           0
4    43435    3234           0           0           1
5    34345    3335           0           1           0

【讨论】：