擅长:python、mysql、java
<p>使用<a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html" rel="nofollow noreferrer">pandas.DataFrame</a>读取CSV和排序操作更容易:</p>
<pre><code>import pandas as pd
df = pd.read_csv('csv.csv', index_col=False)
df['Date'] = pd.to_datetime(df['Date']).dt.strftime('%d/%m/%Y')
df.sort_values('Date', inplace=True)
df.to_csv('result.csv', index=False)
</code></pre>
<p>输出:</p>
<pre><code>T.No,Date,Task,Project,Context,Message,Status
1,07/11/2019,meet @sam and @jack,python,@jack,hello,Incomplete
1,07/12/2019,meet @sam and @jack,python,@sam,hello,Incomplete
4,13/07/2019,meet @sam and @jack,python,@sam & @jack,at room 12,Incomplete
3,15/07/2019,meet @sam and @ jack,python,@sam & @,at room 12,Incomplete
5,15/07/2019,meet sam,python,,at room 12,Incomplete
</code></pre>