Sort pandas dataframe by tenors order
Question:
The first column of the dataframe contains the following tenors:
{10Y, 12Y, 15Y, 1M, 1W, 1Y, 20Y, 25Y, 2M, 2W, 2Y, 30Y, 3M, 3W, 3Y, 4Y, 5Y, 6M, 7Y, 9M}
I would like to arrange the rows of the dataframe, with the "real" order of the tenors:
{1W, 2W, 3W, 1M, 2M, 3M, 6M, 9M, 1Y, 2Y, 3Y, 4Y, 5Y, 7Y, 10Y, 12Y, 15Y, 20Y, 25Y, 30Y}
How should I define this order and then apply it to the dataframe?
Thanks in advance
Answers:
Create a mapping dict and create a custom sorting key:
mapping = {'W': 1, 'M': 10, 'Y': 100}
key = lambda x: x.str[:-1].astype(int) * x.str[-1].map(mapping)
out = df.sort_values('Tenors', key=key)
Output:
>>> out
Tenors
4 1W
9 2W
13 3W
3 1M
8 2M
12 3M
17 6M
19 9M
5 1Y
10 2Y
14 3Y
15 4Y
16 5Y
18 7Y
0 10Y
1 12Y
2 15Y
6 20Y
7 25Y
11 30Y
Input:
>>> df
Tenors
0 10Y
1 12Y
2 15Y
3 1M
4 1W
5 1Y
6 20Y
7 25Y
8 2M
9 2W
10 2Y
11 30Y
12 3M
13 3W
14 3Y
15 4Y
16 5Y
17 6M
18 7Y
19 9M
The first column of the dataframe contains the following tenors:
{10Y, 12Y, 15Y, 1M, 1W, 1Y, 20Y, 25Y, 2M, 2W, 2Y, 30Y, 3M, 3W, 3Y, 4Y, 5Y, 6M, 7Y, 9M}
I would like to arrange the rows of the dataframe, with the "real" order of the tenors:
{1W, 2W, 3W, 1M, 2M, 3M, 6M, 9M, 1Y, 2Y, 3Y, 4Y, 5Y, 7Y, 10Y, 12Y, 15Y, 20Y, 25Y, 30Y}
How should I define this order and then apply it to the dataframe?
Thanks in advance
Create a mapping dict and create a custom sorting key:
mapping = {'W': 1, 'M': 10, 'Y': 100}
key = lambda x: x.str[:-1].astype(int) * x.str[-1].map(mapping)
out = df.sort_values('Tenors', key=key)
Output:
>>> out
Tenors
4 1W
9 2W
13 3W
3 1M
8 2M
12 3M
17 6M
19 9M
5 1Y
10 2Y
14 3Y
15 4Y
16 5Y
18 7Y
0 10Y
1 12Y
2 15Y
6 20Y
7 25Y
11 30Y
Input:
>>> df
Tenors
0 10Y
1 12Y
2 15Y
3 1M
4 1W
5 1Y
6 20Y
7 25Y
8 2M
9 2W
10 2Y
11 30Y
12 3M
13 3W
14 3Y
15 4Y
16 5Y
17 6M
18 7Y
19 9M