sklearn选择方差大于指定数的特征

from sqlite3 import Row

import pandas as pd

import seaborn as sns

import matplotlib.pyplot as plt

from scipy import stats

from sklearn.feature_selection import VarianceThreshold

train_data='zhengqi_train.txt'

test_data='zhengqi_test.txt'

train=pd.read_csv(train_data,sep='t',encoding='utf-8')

test=pd.read_csv(test_data,sep='t',encoding='utf-8')

train=train.drop(['V5','V9','V11','V17','V22','V28'],axis=1)

print(VarianceThreshold(threshold=0.1).fit_transform(train) )