qq_29423387的博客

1、逻辑回归代码复现import numpy as npimport numpy.randomimport pandas as pdfrom matplotlib import pyplot as pltfrom sklearn.preprocessing import StandardScalerfrom sklearn import metricsfrom sklearn import preprocessing as ppfrom sklearn.metrics import clas

import randomimport pandas as pdfrom sklearn import preprocessingfrom sklearn.neighbors import NearestNeighborsimport numpy as np#开始smote,把正样本扩充100倍class Smote: def __init__(self,samples,N=10,k=5): self.n_samples,self.n_attrs=samples.shape

import pandas as pdimport numpy as np#读取文件df1=pd.read_csv("E:/xxx/count2/20211005.csv")df2=pd.read_csv("E:/xxx/count2/20211006.csv")#合并#df=pd.concat(df1,df2)df=pd.concat([df1,df2], ignore_index=True,axis=1)#数据保存合并文件df.to_csv('E:/xxxxx/count2/sum

出现的问题：需要把上述中四个文件中的内容合并到一起代码实现：# -*- coding:utf-8*-# import sys# reload(sys)# sys.setdefaultencoding('utf-8')import importlib,sysimportlib.reload(sys)import pandas as pdimport osimport os.pathimport timetime1=time.time()# 使用os模块walk函数，搜索出某目录

1.直接上代码str1 = '>tr|K6Z612|K6Z612_9ALTEBetalactamase Toho1 OS=Glaciecola arctica BSs20135 GN=bla PE=4 SV=1're1 = str1.split('|')print(re1)re2 = str1.split('|')[1]print(re2)我的需求是从str1字符串中来截取| |直接的内容两个分割的结果如下图所示，第一行是先对fastaname进行截取，然后分为三部分，之后我们对截取的内