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pAnDAs Drop row

data.drop(n)可以删除第i行import pandas as pddata=pd.DataFrame([[1,2,3],[4,5,6]])print data.drop(0)输出结果为 0 1 2 1 4 5 6

先看一个小例子 from pandas import Series, DataFrame data = DataFrame({'k': [1, 1, 2, 2]}) print data IsDuplicated = data.duplicated() print IsDuplicated print type(IsDuplicated) data = data.drop_duplicates() print data 执行结果...

df.dropna()

没google到你说的那个,倒是这个有: Perf-Drill tool “The Perf-Drill perforation tunnel drilling tool drills a large I.D. perforation tunnel using a unique patented (Feb. 2003) articulated drill string. The Perf-Drill mills a cas...

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