how to get continuous date index base on the first index values on Pandas

I got an df with this index, at some point the date change from 2024-03-03 to 2023-02-25.I want to replace the wrong part (2023...) by the logical extend of the correct one

sample:

2024-02-23    -5.600002024-02-24   -13.000002024-02-25   -27.200002024-02-26    -4.200002024-02-27   -11.200002024-02-28   -14.736252024-02-29   -19.370002024-03-01   -16.890002024-03-02    -5.970002024-03-03    -1.300002023-02-25   -35.400002023-02-26   -28.700002023-02-27   -26.400002023-02-28   -15.400002023-03-01   -14.100002023-03-02   -11.200002023-03-03   -21.000002023-03-04   -17.000002023-03-05   -17.600002023-03-06    -6.70000

How to make it clean and pythonic?