擅长:python、mysql、java
<p>您可以合并<code>netscan</code>和<code>computer</code>数据帧,然后用<code>SerialN/A</code>填充<code>Serial</code>列中缺少的值。在</p>
<pre><code>import pandas as pd
netscan = pd.read_csv('netscan.csv')
computer = pd.read_csv('computer_list.csv', usecols=['Name'])
for df in [netscan, computer]:
df['Name'] = df['Name'].str.rstrip()
result = pd.merge(netscan, computer, on='Name', how='outer')
result['Serial'] = result['Serial'].fillna('SerialN/A')
result.to_csv('result.csv', index=False)
print(result)
</code></pre>
<p>生成一个CSV文件(<code>result.csv</code>),其中包含</p>
^{pr2}$