pandas 熊猫排序并保持索引不变
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pandas sort and keep index unchanged
提问by Stellera
I want to sort a dataframe by column, while I got a problem
我想按列对数据框进行排序，但遇到问题
df = pd.DataFrame(np.random.random(5))
df.sort(columns = [0],inplace = True)
df
0
4 0.275867
1 0.304362
2 0.625837
0 0.741176
3 0.767829
When I sort column, I got the result which I was not expected, I expected the index should still be 0,1,2,3,4, So how can I get that result and keep the column 0 in the ascending order.
当我对列进行排序时，我得到了意想不到的结果，我预计索引应该仍然是 0,1,2,3,4，那么我怎样才能得到那个结果并保持列 0 的升序。
回答by jezrael
I think you need reset_indexwith parameter drop=True:
我认为你需要reset_index参数drop=True：
np.random.seed(1)
df = pd.DataFrame(np.random.random(5))
df.sort_values(by=[0],inplace = True)
print (df)
0
2 0.000114
4 0.146756
3 0.302333
0 0.417022
1 0.720324
df.reset_index(drop=True, inplace=True)
print (df)
0
0 0.000114
1 0.146756
2 0.302333
3 0.417022
4 0.720324
