TypeError：'DataFrame'对象无法为DBscan调用

Question

数据集在下面

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

下面是代码

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))引发TypeError：'DataFrame'对象不可调用

Answer 1

用途：

outliers_df[model.labels_==-1]