How to sort data in pandas in reverse?

Question

data mining

How to sort data by index so that the table starts with the latest data and ends with the first one?
For example:
Date
Open High Low Close Volume
0 28-AUG-17 160.14 162.00 159.93 161.47 25965972
1 25-AUG-17 159.65 160.56 159.27 159.86 25480063
2 24-AUG-17 160.43 160.74 158.55 159.27 19818918
3 23-AUG-17 159.07 160.47 158.88 159.98 19399081
4 22-AUG-17 158.23 160.00 158.02 159.78 21604585
It was:
Date Open High Low Close Volume
4 28-AUG-16 150.14 162.00 149.93 121.47 25965972
3 25-AUG-16 152.65 160.56 149.27 139.86 25480063
2 24-Aug- 16 160.43 140.74 158.55 159.27 19818918
1 23-Aug-16 159.07 160.47 158.88 129.98 19399081
0 22-Aug-16 158.23 160.00 158.02 159.78 21604585

Answer 1

arr = ()
arr1 = numpy.sort(arr)
arr2 = arr1[:, ::-1]
print (arr2)
sort classically first, then reverse the order.
at least that's what it says in McKinney's book

Answer 2

https://pandas.pydata.org/pandas-docs/stable/gener...
As I understand it, the index does not have a name? Call it something, don't be stingy)))

Id Date Open High Low Close Volume
0 28-Aug-17 160.14 162.00 159.93 161.47 25965972
1 25-Aug-17 159.65 160.56 159.27 159.86 25480063
2 24-Aug-17 160.43 160.74 158.55 159.27 19818918
3 23-Aug-17 159.07 160.47 158.88 159.98 19399081
4 22-Aug-17 158.23 160.00 158.02 159.78 21604585

sorted_df = df.sort_values('Id', False)
something like that, the code didn't check, there is also DataFrame.sort, but I don't remember the difference between these two functions, try it.
I really xs why sort by id, if for regression (why else do you need a csv data file for stocks?))))), then it is sorted on the side.