Oliver Bandel wrote:
Antje Nöthlich <antno <at> web.de> writes:
[...]
Now for the whole dataframe i would like to delete rows that have the same
"Datetime" value as the prior row.
Well, if you do this, then you loose data.
is this really, what you want?
Throwing away data?
I would think it make sense, if all columns are equal, so that unique()
could be used - then you only throw away data, which already is registered
in your data frame.
But when you throw away different values because of the same date-time,
then there is the question: WHICH would you throw away?
All but the first? Or do you want to select a maximum or minimum?
You end up doing this a lot in clinical trials at least, where you might
only care about the first event per patient for a survival analysis, or
first measurement of blood pressure for baseline data. It's not so much
throwing data away, as limiting it for a certain analysis. Very common
for me to do this sort of thing.
You attempt looks strange to me...
Ciao,
Oliver
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