本文介绍了使用dictwriter在相同的csv文件中覆盖行的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我有names.csv
first_name,last_name
Baked,Beans
Lovely,Spam
John,Bang
Harry,Potter
我想重命名John Ban与jason statham在同一个文件。
我尝试使用file.seek()但失败了
import csv
with open home / tiwari / Desktop / names.csv','rw +')as csvfile:
fieldnames = ['first_name','last_name']
writer = csv.DictWriter(csvfile,fieldnames = fieldnames)
reader = csv.DictReader(csvfile)
对于行,enumerate中的行(读者):
rs = sys.getsizeof(row)
if row ['first_name'] == 'John':
csvfile.seek(-rs)
writer.writerow({'first_name':'Jason','last_name':'statham'})
解决方案除非替换字符串与原始字符串的长度完全相同,否则方法将无效。 p>
我建议读取所有行,并替换它们,然后写回。
import csv
with open('/ home / tiwari / Desktop / names.csv','r +')as csvfile:
reader = csv.DictReader(csvfile)
rows = []
读取行:
if row ['first_name'] =='John':
row ['first_name'] ='Jason'
row ['last_name'] ='Statham'
rows.append(row)
csvfile.seek(0)#回到文件的开头。
fieldnames = ['first_name','last_name']
writer = csv.DictWriter(csvfile,fieldnames = fieldnames)
writer.writeheader()
writer.writerows
csvfile.truncate()#如果更新的内容较短。
I have names.csv
first_name,last_name Baked,Beans Lovely,Spam John,Bang Harry,Potter
I want to rename "John Ban" with "jason statham" in same file.I tried to use file.seek() but failed
import csv with open('/home/tiwari/Desktop/names.csv', 'rw+') as csvfile: fieldnames = ['first_name', 'last_name'] writer = csv.DictWriter(csvfile, fieldnames=fieldnames) reader = csv.DictReader(csvfile) for line, row in enumerate(reader): rs = sys.getsizeof(row) if row['first_name'] == 'John': csvfile.seek(-rs) writer.writerow({'first_name': 'Jason', 'last_name': 'statham'})
解决方案Your approach will not work unless the replacement string is exactly same length with the original string.
I suggest to read all rows, and replace them, and write it back.
import csv with open('/home/tiwari/Desktop/names.csv', 'r+') as csvfile: reader = csv.DictReader(csvfile) rows = [] for row in reader: if row['first_name'] == 'John': row['first_name'] = 'Jason' row['last_name'] = 'Statham' rows.append(row) csvfile.seek(0) # back to begining of the file. fieldnames = ['first_name', 'last_name'] writer = csv.DictWriter(csvfile, fieldnames=fieldnames) writer.writeheader() writer.writerows(rows) csvfile.truncate() # In case of updated content is shorter.
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