2019-03-26 日常小程序
2019-03-26 本文已影响0人
金夜SHOW
两个小程序都是读写文件：
一个是txt(open() write())
另一个是excel(dataframe.to_excel/itertuples/(×iterrows)，getattr())
1、txt程序：
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 21 16:40:14 2019
@author: HOU Jinxiu
"""
import numpy as np
import copy
def read(path):
with open(path,'r') as f:
file = f.readlines()
return file
def write(path,w_str):
wopen=open(path,'w')
for i in w_str:
wopen.write(i)
def main():
#读取swi文件获取带有调速器参数的发电机名称
#输入swi文件路径
#输出 -- 发电机名称 -- /EXC: --/PSS: --/GOV
dir_swi = r'C:\Users\HOU\Desktop\待办\待消缺\03.21华东调速器参数映射\华东孤网BPA\BPA10018838.swi'
name = []
with open(dir_swi,'r') as f:
swi = f.readlines()
swi_select = []
for line in swi:
if line.startswith('..') and 'GOV' in line:
swi_select.append(line.replace('套用',' ').split(' '))
name.append(line.replace('套用',' ').split(' ')[1])
print('有\033[1;31;43m %d \033[0m台发电机有调速器'%len(swi_select))
#检查是否在潮流中该节点是否存在，若注释，则打开该节点。
#检查目标文件中是否包含相应发电机
#这两个机器需要手动匹配：浙新城Y1、浙新城Y2
dir_Target_S5 = r'C:\Users\HOU\Desktop\待办\待消缺\03.21华东调速器参数映射\19年上半年发布\ST.S5'
with open(dir_Target_S5,'r') as f1:
lines = f1.readlines()
include = []
for line in lines:
for name_i in name:
if name_i in line:
include.append(name_i)
else:
pass
exclusive = list(set(name).difference(set(include)))
print('BPA发电机名称和PSASP名称不一致的发电机台数有\033[1;31;43m %d \033[0m台\n名称不一致的发电机是：\033[0;31m%s\033[0m'%(len(exclusive),str(exclusive)))
#从生产的工程中提取相应发电机的调速器参数组号和行号
#输入 S5文件地址和 L1文件地址
#输出 --名称--类型---行号--
dir_S5 = r'C:\Users\HOU\Desktop\待办\待消缺\03.21华东调速器参数映射\hdts01\Temp\BPA10018838.S5'
dir_L1 = r'C:\Users\HOU\Desktop\待办\待消缺\03.21华东调速器参数映射\hdts01\Temp\BPA10018838.L1'
with open(dir_S5,encoding = 'utf-8',errors = 'ignore') as f:
temps5 = f.readlines()
s5 = []
for line in temps5:
s5.append(line.replace(' ','').split(','))
with open(dir_L1,'r') as f:
templ1 = f.readlines()
L1 = []
for line in templ1:
L1.append(line.replace(' ','').split(','))
#调速器参数 名称和数量校验
#new_s5是从BPA S5提取的全部数据。list保存，且名称名称已改成L1中的名称
new_s5 = []
for s in s5:
if int(s[6])!= 0:
s[1] = L1[int(s[1])-1][0].replace('\'','')
new_s5.append(s)
#name_s5 L1中的名称的前五位
name_s5 = []
for s_name in new_s5:
name_s5.append(s_name[1][:5]) #s_name[1][:5]前五位的话都可以有调速器模型了
s5_exclusive = list(set(name_s5).difference(set(name)))
print("BPA转成PSASP文件中有调速器模型的发电机个数是\033[1;31;43m %d台：\033[0m"%len(name_s5))
print('不能匹配的发电机台数有\033[0;31m%d\033[0m台\n不能匹配的发电机是：%s'%(len(s5_exclusive),str(s5_exclusive)))
# cha = list(set(name).difference(set(name_s5)))
#name1是去除['浙新城Y1', '浙新城Y2']后的发电机名称表
name1 = set(include).difference(set(exclusive))
print(len(name1))
#--名称--类型---行号-
origin = []
count0 = 0
for na in new_s5:
if na[1][:5] in name1:
Name = new_s5[count0][1]
Tgo = new_s5[count0][6]
Lgo = new_s5[count0][7]
origin.append([[Name],[Tgo],[Lgo]])
else:
print(na[1])
count0 += 1
origin = np.array(origin).reshape(-1,3)
#DATALIB.DAT手动修改 #,GOV3 1→23 #,GOV4 1→410 #,GOV7 1→81 #,GOV3 1→178\
change = copy.deepcopy(origin)
for index,element in enumerate(change[:,1]):
if element == '3':
change[index,2] = int(change[index,2])+ 22
elif element== '4':
change[index,2] = int(change[index,2]) + 409
elif element== '7':
change[index,2] = int(change[index,2]) + 80
elif element== '8':
change[index,2] = int(change[index,2]) + 177
change=np.c_[change,np.zeros(len(change))]
#修改离线库的S5文件
target_s5 = r'C:\Users\HOU\Desktop\待办\待消缺\03.21华东调速器参数映射\19wutiao\ST.S5'
t_s5 = read(target_s5)
num = 0
S5 = r'C:\Users\HOU\Desktop\待办\待消缺\03.21华东调速器参数映射\ST.S5'
wopen=open(S5,'w')
for line in t_s5:
for index,element in enumerate(change[:,0]):
if element[0:5] in line:
change[index,3] = float(change[index,3])+1
if float(change[index,3]) >1:
print(change[index,0])
else:
sub = '%3s,%4s'%(change[index,1],change[index,2])
line = line[:29]+sub+line[37:]
num +=1
wopen.write(line)
wopen.close()
print('文件已保存')
print('已替换%d行'%num)
# t_data =read(target_datalib)
# d_data = read(dir_datalib)
return t_s5,change
if __name__ == '__main__':
A,B = main()
excel提取数据：
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 26 21:13:21 2019
@author: HOU
"""
import os
import pandas as pd
import time
os.chdir(r'C:\Users\HOU\Desktop')
#xlutils:修改excel
wb_rz2 = pd.read_excel('2rz.xlsx',header = None)
wb_rz3 = pd.read_excel('3rz.xlsx',header = None)
#rz2_ok =[]
#start_1 =time.time()
#for index, row in wb_rz2.iterrows():
# A = str(row[1])
# B = str(row[2])
# count = 0
# for index, row1 in wb_rz2.iterrows():
# if A == str(row1[1]) and B==str(row1[2]):
# count += 1
# if count>=2:
# rz2_ok.append(list(row))
#time_1 = time.time()- start_1
rz2_ok =[]
start_1 =time.time()
for row in wb_rz2.itertuples(index=False):
A = getattr(row,'_1')
B = getattr(row,'_2')
count = 0
for row1 in wb_rz2.itertuples(index=False):
if A == getattr(row1,'_1') and B==getattr(row1,'_2') :
count += 1
if count>=2:
rz2_ok.append(list(row))
time_1 = time.time()- start_1
print('time A2:%s'%time_1)
start_2 =time.time()
rz3_ok =[]
for row in wb_rz3.itertuples(index=False):
A = getattr(row,'_1')
B = getattr(row,'_2')
C = getattr(row,'_3')
count = 0
for row1 in wb_rz3.itertuples(index=False):
if A == getattr(row1,'_1') and B==getattr(row1,'_2') and C==getattr(row1,'_3'):
count += 1
if count>=2:
rz3_ok.append(list(row))
time_2 = time.time()- start_2
print('time A3:%s'%time_2)
rz2 =pd.DataFrame(rz2_ok)
rz3 =pd.DataFrame(rz3_ok)
rz2.to_excel('A2.xlsx',header = False)
rz3.to_excel('A3.xlsx',header = False)
