擅长:python、mysql、java
<p>创建新的数据帧并将<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.append.html" rel="nofollow noreferrer">^{<cd1>}</a>或<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.concat.html" rel="nofollow noreferrer">^{<cd2>}</a>转换为原始数据帧:</p>
<pre><code>print (df)
User Value
0 user1 value
1 user2 value
2 user3 value
3 user4 value
x = ['user5', 'user6']
xList= list(set(x)-set(df['User']))
df = df.append(pd.DataFrame({'User': xList}), ignore_index=True)
#alternative
#df = pd.concat([df, pd.DataFrame({'User': xList})], ignore_index=True)
print (df)
User Value
0 user1 value
1 user2 value
2 user3 value
3 user4 value
4 user5 NaN
5 user6 NaN
</code></pre>
<p>另一个带有<a href="http://pandas.pydata.org/pandas-docs/stable/indexing.html#setting-with-enlargement" rel="nofollow noreferrer">^{<cd3>}</a>的解决方案:</p>
^{pr2}$