擅长:python、mysql、java
<p>我们可以用<a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.isna.html" rel="nofollow noreferrer">^{<cd2>}</a>和<a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.sum.html" rel="nofollow noreferrer">^{<cd3>}</a>来计算<code>NaN</code>的数量。但是首先我们用<a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.filter.html" rel="nofollow noreferrer">^{<cd5>}</a>进行过滤,得到以数字结尾的列:</p>
<pre><code>df['count'] = df.filter(regex='\d$').notna().sum(axis=1)
</code></pre>
<hr/>
^{pr2}$
<p><strong>解释</strong>正则表达式:</p>
<ul>
<li><code>\d</code>是一个数字</li>
<li><code>$</code>是字符串的结尾。在</li>
</ul>