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