python读写txt文件和csv文件
#!/usr/bin/env python# -*- coding:utf-8 -*-import pandas as pdimport csvpath1=r"/public/home/test1.csv"#.csv文件路径path2=r"/public/home/test2.csv"path3=r"/public/home/test3.csv"path4=r"/public/home/test4
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#!/usr/bin/env python
# -*- coding:utf-8 -*-
import pandas as pd
import csv
path1=r"/public/home/test1.csv" #.csv文件路径
path2=r"/public/home/test2.csv"
path3=r"/public/home/test3.csv"
path4=r"/public/home/test4.txt" #.txt文件路径
with open(path1,'r') as f:
reader = csv.reader(f)
result = list(reader)
print(result[0]) #读第一行
#写入第一行
wcsv = open(path2,'w',newline='') #newline=''去除输出之后多余的空行
write = csv.writer(wcsv)
write.writerow(result[0])
wcsv.close()
#更换表头位置,可以改变、更换表头名称,例如将Id和Name的位置更换
df=pd.read_csv('test2.csv', header=0)
df.columns=['age', 'Id', 'Name']
df.to_csv('test3.csv', index=False)
fvile = open(path4,'r')
for i in file:
print(i.strip()) #逐行输出
with open(path3,'r') as f:
reader1 = csv.DictReader(f)
for row in reader1:
if (row['sampleId'] ==i.strip()):
print(row)
wcsv = open(path2,'a+',newline='')
write = csv.DictWriter(wcsv,fieldnames=['age', 'Id', 'Name'])
write.writerow(row)
wcsv.close()
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