df.head() >>> Price Seqno Symbol time 0 1623.0 0.0 APPL 1473411962 1 1623.0 0.0 APPL 1473411962 2 1623.0 0.0 APPL 1473411963 3 1623.0 0.0 APPL 1473411963 4 1649.0 1.0 APPL 1473411963
df.drop_duplicates(["Seqno"],keep="last").head()
>>>
	Price	Seqno	Symbol	time
3	1623.0	0.0	APPL	1473411963
7	1649.0	1.0	APPL	1473411964
11	1642.0	2.0	APPL	1473411965
15	1636.0	3.0	APPL	1473411966
19	1669.0	4.0	APPL	1473411967

df.drop_duplicates(subset=None, keep='first', inplace=False)

1 data.drop_duplicates()#data中一行元素全部相同时才去除

2 data.drop_duplicates(['a','b'])#data根据’a','b'组合列删除重复项,默认保留第一个出现的值组合。传入参数keep='last'则保留最后一个

 

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