擅长:python、mysql、java
<p>如果所有的数据帧都有一致的索引,则应使用<code>MultiIndex</code>将它们保持在一起</p>
<pre><code>df = pd.concat(m)
df
A B C D
d1 2013-01-01 -0.701856 1.804441 -1.224499 -0.997452
2013-01-02 -1.122829 -0.375963 1.476828 1.254910
2013-01-03 -0.330781 -0.692166 1.352655 -1.296063
2013-01-04 -0.352034 0.200128 0.411482 1.058941
2013-01-05 -0.103345 0.119615 0.251884 -0.108792
2013-01-06 0.690312 -1.115858 -0.271362 -0.872862
d2 2013-01-01 1.449789 0.144008 -0.445732 -0.356491
2013-01-02 0.254142 0.102233 -0.456786 1.505599
2013-01-03 -1.636609 0.141300 -1.458500 0.088640
2013-01-04 0.015575 1.170128 0.229888 -0.273040
2013-01-05 0.995011 -1.476076 -0.345353 -0.343009
2013-01-06 0.060094 0.610622 0.192916 -1.411557
</code></pre>
<p>此时可以使用多种过滤方法</p>
^{pr2}$