如何重置pandas数据框中的索引？
我有一个数据框从中删除了一些行。 因此，我得到一个数据框，其索引是这样的： [1,5,6,10,11] ，我想重置它到[0,1,2,3,4] 。 我该怎么做？
添加
以下似乎工作：
df = df.reset_index() del df['index']
以下不起作用：
df = df.reindex()
reset_index()是你在找什么。 如果您不希望将其另存为列，请执行以下操作：
df = df.reset_index(drop=True)
另一个解决scheme是分配RangeIndex或range ：
df.index = pd.RangeIndex(len(df.index)) df.index = range(len(df.index))
速度更快：
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
