【数据预处理】如何将某一类别特征的极少数类别归为一类

import pandas as pd
import numpy as np          
df = pd.DataFrame(np.array(list(‘abcdcbaceebcabcdacbeaabcbfnaeb‘)).reshape(5,6),index=range(5),columns=[‘a‘,‘b‘,‘c‘,‘d‘,‘地名‘,‘f‘])         


def handle(data):
    
    # 将该特征的类别进行归类统计，返回数据类型为series,index为所有的类别，value为每个类别对应的个数
    feature_count = data[‘地名‘].value_counts()  
    l = len(feature_count.values)
    small_list=[]  # 将样本个数只有1的类别放进列表
    for i in range(l):
        if feature_count.values[i]==1:
            small_list.append(feature_count.index[i])   # 

    
    m = len(data)
    feature_values=data[‘地名‘].values
    for j in range(m):
        for i in small_list:
            if i==feature_values[j]:
                feature_values[j]=‘少数‘
    data[‘地名‘]=feature_values
    return data
    
handle(df)