功能：
示例：
In [1]: df Out[1]: 0 1 2 3 4 0 -0.127085 -0.538321 0.641609 -0.020957 0.003503 1 -0.304994 0.157213 0.586962 0.251505 1.022418 2 -0.239710 1.235562 0.917208 -0.964571 -1.120331 3 -0.176416 -0.216204 0.433998 -0.366355 -0.261724 # 删除若干行数据 In [2]: df1 = df.loc[[0,2,3],:] In [3]: df1 Out[3]: 0 1 2 3 4 0 -0.127085 -0.538321 0.641609 -0.020957 0.003503 2 -0.239710 1.235562 0.917208 -0.964571 -1.120331 3 -0.176416 -0.216204 0.433998 -0.366355 -0.261724 # reset_index，原行索引作为一列保留，列名为index In [4]: df2 = df1.reset_index() In [5]: df2 Out[5]: index 0 1 2 3 4 0 0 -0.127085 -0.538321 0.641609 -0.020957 0.003503 1 2 -0.239710 1.235562 0.917208 -0.964571 -1.120331 2 3 -0.176416 -0.216204 0.433998 -0.366355 -0.261724 # reset_index，通过函数 drop=True 删除原行索引 In [6]: df3 = df1.reset_index(drop=True) In [7]: df3 Out[7]: 0 1 2 3 4 0 -0.127085 -0.538321 0.641609 -0.020957 0.003503 1 -0.239710 1.235562 0.917208 -0.964571 -1.120331 2 -0.176416 -0.216204 0.433998 -0.366355 -0.261724