擅长:python、mysql、java
<p>您可以使用</p>
<pre class="lang-py prettyprint-override"><code>column = list()
for _, row in df.iterrows():
for item in row:
if item.isupper():
column.append(item)
break
else:
column.append(numpy.nan)
new_df = pandas.DataFrame(column)
</code></pre>