DataFrame的reset_index函数
notes-pandas-functions
reset_index函数
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