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如何重置pandas数据框中的索引?

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我有一个数据框,我从中删除了一些行 . 结果,我得到一个数据框,其中索引是这样的: [1,5,6,10,11] ,我想将其重置为 [0,1,2,3,4] . 我该怎么做?


以下似乎有效:

df = df.reset_index()
del df['index']

以下不起作用:

df = df.reindex()

3 回答

  • 22

    reset_index()是你希望它保存为列的内容,然后执行:

    df = df.reset_index(drop=True)
    
  • 0
    data1.reset_index(inplace=False)
    
  • 437

    另一个解决方案是分配 RangeIndexrange

    df.index = pd.RangeIndex(len(df.index))
    
    df.index = range(len(df.index))
    

    它更快:

    df = pd.DataFrame({'a':[8,7], 'c':[2,4]}, index=[7,8])
    df = pd.concat([df]*10000)
    print (df.head())
    
    In [298]: %timeit df1 = df.reset_index(drop=True)
    The slowest run took 7.26 times longer than the fastest. This could mean that an intermediate result is being cached.
    10000 loops, best of 3: 105 µs per loop
    
    In [299]: %timeit df.index = pd.RangeIndex(len(df.index))
    The slowest run took 15.05 times longer than the fastest. This could mean that an intermediate result is being cached.
    100000 loops, best of 3: 7.84 µs per loop
    
    In [300]: %timeit df.index = range(len(df.index))
    The slowest run took 7.10 times longer than the fastest. This could mean that an intermediate result is being cached.
    100000 loops, best of 3: 14.2 µs per loop
    

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