TypeError: 'DataFrame' object is not callable for DBscan

Question

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)) 抛出类型错误：'DataFrame' 对象不可调用

Answer 1

将 boolean indexing 与 [] 结合使用以按掩码过滤：

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

TypeError: 'DataFrame' object is not callable for DBscan

TypeError: 'DataFrame' object is not callable for DBscan

python

machine-learning

pandas

dbscan