我已经阅读了很多有关此主题的问题，但我似乎找不到我的代码不起作用的原因。
从网站上进行一些抓取后，我基本上尝试按列(“日期”)对 Pandas 数据框进行排序。我尝试过将日期转换为日期时间对象，但这也不起作用，如果你们中有人能告诉我我在这里可能做错了什么，我将不胜感激。
def find_data(soup):
l = []
for b in soup.find_all('div', class_= 'jobInfo'):
d = {}
company = b.find('h2').find('a')
d["Role"] = company['title'].split(':')[0]
d["URL"] = 'https://www.computerjobs.ie' + company['href']
company_name = b.find('ul', class_= 'jobDetails').find('li', class_= 'jobCompanyName').get_text()
d["Company"] = company_name.split(':')[1].strip()
date = b.find('ul', class_= 'jobDetails').find('li', class_= 'jobLiveDate').get_text()
d["Date"] = date.split(':')[1].strip()
l.append(d)
df = pd.DataFrame(l)
#Rearranging the order of the columns
df = df[['Date', 'Company', 'Role', 'URL']]
#Dropping null rows
df=df.dropna()
#df['Date'] = pd.to_datetime(df.Date)
#df.sort_values('by=["'Date"], ascending = True)
df.sort_values(by = ['Date'])
df.to_csv("csv_files/pandas_data.csv")
输出:
,Date,Employer,Title,URL
0,11/04/2018,nineDots - Technology Recruitment,Senior Python Developer,https://www.computerjobs.ie/jobs/7175653/senior-python-developer.asp
1,10/04/2018,Allen Recruitment,Lead Python Developer,https://www.computerjobs.ie/jobs/7158984/lead-python-developer.asp
2,10/04/2018,Allen Recruitment,Python Developer,https://www.computerjobs.ie/jobs/7158996/python-developer.asp
3,11/04/2018,Solas Consulting Group,Python Developer,https://www.computerjobs.ie/jobs/7231476/python-developer.asp
4,11/04/2018,nineDots - Technology Recruitment,Senior Python Developer,https://www.computerjobs.ie/jobs/7181828/senior-python-developer.asp
5,09/04/2018,realTime Recruitment Ltd.,Senior DevOps Engineer,https://www.computerjobs.ie/jobs/7240215/senior-devops-engineer.asp
6,11/04/2018,FRS Recruitment,Software Engineer/Cloud Engineer,https://www.computerjobs.ie/jobs/7140213/software-engineer-cloud-engineer.asp
7,11/04/2018,Solas Consulting Group,Junior .NET Developer,https://www.computerjobs.ie/jobs/7232494/junior-net-developer.asp
8,11/04/2018,Evolve Adviser Ltd,Data Architect,https://www.computerjobs.ie/jobs/7247685/data-architect.asp
9,11/04/2018,nineDots - Technology Recruitment,Senior DevOps Engineer,https://www.computerjobs.ie/jobs/7191814/senior-devops-engineer.asp
最佳答案
重新分配排序语句:
df = df.sort_values(by = ['Date'])
df.sort_values 默认情况下不是 inplace，您必须重新分配回 df 以保留排序，或使用 inplace=True 作为 sort_values 方法中的参数。
关于python - Pandas Dataframe - 排序日期时出现问题，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/49779725/