Python 熊猫面板合并

合并面板数据的当前最佳方法是什么，例如：

p = pd.Panel(np.random.randn(2,5,4),
    items=['IBM', 'AA'],
    major_axis=pd.date_range('1/1/2000', periods=5),
    minor_axis=['Open', 'High', 'Low', 'Close'])
dp = pd.Panel(np.random.randn(2,1,1),
    items=['IBM', 'Z'],
    major_axis=pd.date_range('1/8/2000', periods=1),
    minor_axis=['Close'])

预期的合并如下所示：

p[:,:,'Close'].merge(dp[:,:,'Close'],
    how='outer',
    on=list(set(p.items) & set(dp.items)),
    left_index=True,
    right_index=True)

                 IBM        AA         Z
2000-01-01  0.190049  0.200745       NaN
2000-01-02 -0.239746 -0.434157       NaN
2000-01-03 -0.112571 -0.302251       NaN
2000-01-04 -1.764957 -0.810951       NaN
2000-01-05 -0.961327  1.436247       NaN
2000-01-08  0.006128       NaN  0.383452

但是，我不明白如何有效地更新原始面板p，以包括此合并

如果打印（p[：，：，'Close']）是：

然后，上面的表合并将如下所示：

p[:,:,'Close'].merge(dp[:,:,'Close'],
    how='outer',
    on=list(set(p.items) & set(dp.items)),
    left_index=True,
    right_index=True)

                 IBM        AA         Z
2000-01-01  0.190049  0.200745       NaN
2000-01-02 -0.239746 -0.434157       NaN
2000-01-03 -0.112571 -0.302251       NaN
2000-01-04 -1.764957 -0.810951       NaN
2000-01-05 -0.961327  1.436247       NaN
2000-01-08  0.006128       NaN  0.383452

---

谢谢。

我将转换为数据帧，

首先合并，然后再转换回来

new = p.to_frame().combine_first(dp.to_frame()).to_panel()

print new[:,:,'Close']

                  AA       IBM        Z
major                                  
2000-01-01  1.348884  0.472272      NaN
2000-01-02  1.599357 -0.228739      NaN
2000-01-03  2.041504 -0.325773      NaN
2000-01-04  0.348960 -0.451274      NaN
2000-01-05 -1.902347  0.146647      NaN
2000-01-08       NaN -0.240884  0.39855