7-Merge--数据分析
【摘要】
Meger合并多个表格中相同字段的数据
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...
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import pandas as pd
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left = pd.DataFrame({'key':['k0','k1','k2','k3'],
'A':['A0','A1','A2','A3'],
'B':['B0','B1','B2','B3']})
right = pd.DataFrame({'key':['k0','k1','k2','k3'],
'C':['C0','C1','C2','C3'],
'D':['D0','D1','D2','D3']})
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left
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right
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pd.merge(left,right)
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pd.merge(left,right,on='key')
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left = pd.DataFrame({'key1':['k0','k1','k2','k3'],
'key2':['k0','k1','k2','k3'],
'A':['A0','A1','A2','A3'],
'B':['B0','B1','B2','B3']})
right = pd.DataFrame({'key1':['k0','k1','k2','k3'],
'key2':['k0','k1','k2','k3'],
'C':['C0','C1','C2','C3'],
'D':['D0','D1','D2','D3']})
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left
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right
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pd.merge(left,right,on='key1')
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pd.merge(left,right,on=['key1','key2'])
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left = pd.DataFrame({'key1':['k0','k1','k2','k3'],
'key2':['k0','k1','k2','k4'],
'A':['A0','A1','A2','A3'],
'B':['B0','B1','B2','B3']})
right = pd.DataFrame({'key1':['k0','k1','k2','k3'],
'key2':['k0','k1','k2','k3'],
'C':['C0','C1','C2','C3'],
'D':['D0','D1','D2','D3']})
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left
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right
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* 指定多个字段合并，字段值一样的保留下来，不一样的值去掉。不显示。默认采用的是交集方式
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pd.merge(left,right,on=['key1','key2'])
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- 指定多个字段合并，字段值一样的保留下来，不一样的值去掉。如果想让不一样的值显示，可以改为并集方式显示
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pd.merge(left,right,on=['key1','key2'],how='outer')
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pd.merge(left,right,on=['key1','key2'],how='outer',indicator=True)
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pd.merge(left,right,on=['key1','key2'],how='left')
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pd.merge(left,right,on=['key1','key2'],how='right')
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文章来源: brucelong.blog.csdn.net，作者：Bruce小鬼，版权归原作者所有，如需转载，请联系作者。
原文链接：brucelong.blog.csdn.net/article/details/80739959
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