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python dataframe index Python DataFrame的Index，别再傻傻分不清，一招搞定行选择

发布时间：2026/9/11 13:56:16来源：尧图网络资讯中心
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python dataframe index Python DataFrame的Index，别再傻傻分不清，一招搞定行选择
print df.columns.size#列数 2 print df.iloc[:,0].size#行数 3 print df.ix[[0]].index.values[0]#索引值 0 print df.ix[[0]].values[0][0]#第一行第一列的值 11 print df.ix[[1]].values[0][1]#第二行第二列的值 121df(给出这样三组内容, 第一组是其中‘A’的值为’11’, ‘B’的值为’12’ , 第二组是, 其中‘A’的值为’111’, ‘B’的值为’121’ , 第三组是, 其中‘A’的值为’1111’, ‘B’的值为’1211’。行选择进行行选择一般有三种方法列选择采取列选择操作较为简便, 只需径直把列名加以传递就行, 要是存在多列的数据, 那就得各自指出列名或者列的索引号。1) 选择单列选择了电影名称那一列q fandango[FILM]2) 通过指定列名选择多列r fandango[[FILM,Metacritic]]3) 非常容易让人混淆的通过列的索引号选择多列v fandango[[0,1,2]] 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