I'm dealing with two big data sets. Both represent different data from 1990 until 2020. One of them has a time step of 10 minutes and the other of 1h.
This means that while for one I have ±1 400 000 data points, for the other I have only ±200 000.
The first issue is that the time column of both .csv files is different. This means that one of them is a pandas Timestamp whilst the other is just a string
In order to use data from both Data sets I decided to use scipy interp1d.
I'm comparing heights, hs, and so I wrote the following:
f = interp1d(t_1hour, hs)
Hs10min = f(t_10min)
This returns te following error:
ValueError: object arrays are not supported
What does this mean? Is there any way of doing this? BTW, I also converted the values of the 10 minute time step data frame into Timestamps so that I would be comparing the same type of data.
If you need any more information let me know!
Thank you in Advance!!