pd.concat(objs, axis=0, join='outer', join_axes=None, ignore_index=False,
keys=None, levels...(frames)
KEY参数
result = pd.concat(frames, keys=['x', 'y', 'z'])
JOIN参数
默认join = ‘outer’,为取并集的关系
In...'F2', 'F3', 'F6', 'F7']},
...: index=[2, 3, 6, 7])
...:
In [9]: result = pd.concat...([df1, df4], axis=1)
结果:
当设置join = ‘inner’,则说明为取交集
In [10]: result = pd.concat([df1, df4], axis=1,...join='inner')
结果:
如果索引想从原始DataFrame重用确切索引:
In [11]: result = pd.concat([df1, df4], axis=1, join_axes