Hey Skip,
Any way that you can make your keys numeric? Then you can run np.diff on
that first column, and use the indices of nonzero entries (np.flatnonzero)
to know where values change. With a +1/-1 offset (that I am too lazy to
figure out right now ;) you can then index into the original rows to
(I'm probably going to botch the description...)
Suppose I have a 2D array of Python objects, the first n elements of each
row form a key, the rest of the elements form the value. Each key can (and
generally does) occur multiple times. I'd like to generate a new array
consisting of just the first
I am out of the office until 11/07/2016.
For standard requests within the scope of EMG PWM Berlin, please write to
EMG PWM Berlin@DBEMEA.
For non-standard requests, please cc Hien Pham-Thu.
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