[英]Python - skip if has not pattern of date
I have a csv where I have for example this: 我有一个csv,例如:
Date,Comment
2014-05-29,Last time we will see
What about next time?"
2014-05-29,"""still want to be seen as the good guys..."""
This is my world.
2014-05-29,And so the game begins... ;)
2014-05-29,"Btw, this is...
And I would like to skip those rows which have not a date format in first column. 我想跳过第一列中没有日期格式的那些行。 I have this:
我有这个:
a = []
csvReader = csv.reader(open(csv_file_to_open, 'rb'), delimiter=',')
for row in csvReader:
a.append(row)
for row in a:
if row[0] == "date format then": <= here I need some pattern filter but I don't know how to do it
print 'yes'
Date is always in format %Y-%m-%d
. 日期始终采用
%Y-%m-%d
格式。
You can use the datetime module to check this: 您可以使用datetime模块进行检查:
import datetime
a = []
csvReader = csv.reader(open(csv_file_to_open, 'rb'), delimiter=',')
for row in csvReader:
a.append(row)
for row in a:
try:
datetime.datetime.strptime(row[0],'%Y-%m-%d')
print 'yes'
except ValueError:
continue
This should do it! 这应该做!
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