擅长:python、mysql、java
<p>您可以将<a href="http://pandas.pydata.org/pandas-docs/stable/indexing.html#boolean-indexing" rel="nofollow">^{<cd1>}</a>与<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.isin.html" rel="nofollow">^{<cd2>}</a>一起使用,然后按<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.ix.html" rel="nofollow">^{<cd3>}</a>选择并通过<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.tolist.html" rel="nofollow">^{<cd5>}</a>转换为{<cd4>}:</p>
<pre><code>print (~df2.sym2.isin(df1.sym1))
0 False
1 True
2 False
3 False
4 False
5 True
6 True
Name: sym2, dtype: bool
print (df2.ix[~df2.sym2.isin(df1.sym1), 'sym2'])
1 xxx p0
5 rrr r1
6 kkk k3
Name: sym2, dtype: object
print (df2.ix[~df2.sym2.isin(df1.sym1), 'sym2'].tolist())
['xxx p0', 'rrr r1', 'kkk k3']
</code></pre>