I have this pd.Series:
s = pd.Series([1, 'a', 1.4, 'b', 4, 98, 6.7, 'hello', 98.9])
My goal is to switch the values by each value type in reverse order.
My desired output is:
>>> s = pd.Series([98, 'hello', 98.9, 'b', 4, 1, 6.7, 'a', 1.4])
>>> s
0 98
1 hello
2 98.9
3 b
4 4
5 1
6 6.7
7 a
8 1.4
dtype: object
>>>
As you can see, the different value types are still in mixed order, but they are reversed by the other same type values.
The integer order was 1, 4, 98 and it's now 98, 4, 1.
The float order was 1.4, 6.7, 98.9 and it's now 98.9, 6.7, 1.4.
The string order was 'a', 'b', 'hello' and it's now 'hello', 'b', 'a'
What I have tried so far is:
>>> s.to_frame().groupby([[*map(type, s)]], sort=False).apply(lambda x: x.iloc[::-1]).reset_index(drop=True)
0
0 98
1 4
2 1
3 hello
4 b
5 a
6 98.9
7 6.7
8 1.4
>>>
And yes, they do get reversed in order. But, since I'm using groupby, the values are grouped together into separated groups, they're not mixed together.
How would I fix this?
out = (s.groupby(s.map(type), sort=False)
.apply(lambda x: pd.Series(x.sort_values(ascending=False).tolist(), index=x.index)))
out
0 98
1 hello
2 98.9
3 b
4 4
5 1
6 6.7
7 a
8 1.4
dtype: object