擅长:python、mysql、java
<p>您可以使用此<a href="https://stackoverflow.com/questions/25146121/extracting-just-month-and-year-separately-from-pandas-datetime-column">answer</a>中的示例在新列中获取年份</p>
<pre><code>df['year'] = pd.DatetimeIndex(df['DATE']).year
</code></pre>
<p>或者</p>
<pre><code>df['year'] = df['ArrivalDate'].dt.year
</code></pre>
<p>然后使用groupby和agg获得每年的计数:</p>
<pre><code>counts = df.groupby('year').agg('count')
</code></pre>
<p>所以每年</p>