希望能将程序二嵌入到程序一中 麻烦了
程序一
import os
import re
import datetime
import numpy as np
import pandas as pd
if __name__ == '__main__':
filenames_in = r'C:\Users\wxy\Desktop\111' # 输入文件的文件地址
filenames_out = r'C:\Users\wxy\Desktop\333' # 新文件的地址
pathDir = os.listdir(filenames_in)
for allDir in pathDir:
child = re.findall(r"(.+?).csv", allDir) # 正则的方式读取文件名,去扩展名
if len(child) >= 0: # 去掉没用的系统文件
newfile = ''
needdate = child #### 这个就是所要的文件名
domain1 = os.path.abspath(filenames_in) # 待处理文件位置
info = os.path.join(domain1, allDir) # 拼接出待处理文件名字
# ------------数据处理过程---------------
print(info, "开始处理")
df = pd.DataFrame(pd.read_csv(info))
#处理过程
domain2 = os.path.abspath(filenames_out) # 处理完文件保存地址
outfo = os.path.join(domain2, allDir) # 拼接出新文件名字
df.to_csv(outfo, encoding='utf-8',index=False)
print(info, "处理完")
endtime = datetime.datetime.now()
程序二
import networkx as nx
import itertools
import sys
in_file = r'C:\Users\wxy\Desktop\333\hs_300_2.csv'
print(in_file)
out_file = r'C:\Users\wxy\Desktop\re\777.csv'
print(out_file)
#node_file = r'C:\Users\wxy\Desktop\re\888.csv'
#print(node_file)
vl='0.75'
f = open(out_file, 'w')
#g = open(node_file, 'w')
G = nx.read_edgelist(in_file, comments='#', data=(('corr', float), ('metric', float)))
G.remove_edges_from(nx.selfloop_edges(G))
nodes = []
nodes = list(G.nodes)
mst = list(nx.algorithms.tree.mst.minimum_spanning_edges(G, algorithm='prim', weight='metric', data=True))
for x in mst:
f.write(x[0] + '\t' + x[1] + '\t')
for edge in G.edges(data=True):
if x[0] == edge[0] and x[1] == edge[1]:
wt = edge[2]['metric']
f.write("%f\n" % (wt))
break
elif x[0] == edge[1] and x[1] == edge[0]:
wt = edge[2]['metric']
f.write("%f\n" % (wt))
break
for edge in G.edges(data=True):
flag = 0
for x in mst:
if x[0] == edge[0] and x[1] == edge[1]:
flag = 1
elif x[0] == edge[1] and x[1] == edge[0]:
flag = 1
if flag == 0 and edge[2]['corr'] >= float(vl):
f.write(edge[0] + '\t' + edge[1] + '\t')
wt = edge[2]['metric']
f.write("%f\n" % (wt))
#for node in nodes:
# g.write(node + '\n')
其中in_file对应filenames_in,out_file对应filenames_out 谢谢