<p>将<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.set_index.html" rel="nofollow noreferrer">^{<cd1>}</a>与<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.stack.html" rel="nofollow noreferrer">^{<cd2>}</a>和<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.unstack.html" rel="nofollow noreferrer">^{<cd3>}</a>一起使用:</p>
<pre><code>df3 = df2.set_index(['Year','Country']).stack().unstack(1)
print (df3)
Country Afghanistan Albania Angola
Year
2000 CPC_qtr_root 0.134938 0.120672 0.110177
IncomeLevel Lower Income Upper Middle Income Lower Middle Income
Rate 27 95 36
2001 CPC_qtr_root 0.143537 0.049033 0.155105
IncomeLevel Lower Income Upper Middle Income Lower Middle Income
Rate 37 95 65
2002 CPC_qtr_root 0.103599 0.0476409 0.164784
IncomeLevel Lower Income Upper Middle Income Lower Middle Income
Rate 35 96 66
2003 CPC_qtr_root 0.0771533 0.0400869 0.0918947
IncomeLevel Lower Income Upper Middle Income Lower Middle Income
Rate 39 93 52
2004 CPC_qtr_root 0.0667594 0.0387958 0.0359603
IncomeLevel Lower Income Upper Middle Income Lower Middle Income
Rate 48 96 52
</code></pre>
<p>获得混合类型:</p>
^{pr2}$