If I have a NumPy array like so:
[[1, 12],
[2, 13],
[3, 14],
[4, 15],
[5, 16],
[6, 15],
[7, 14]]
How can I do an inplace diff, ending up with this?
[[1, 0],
[2, 1],
[3, 1],
[4, 1],
[5, 1],
[6, -1],
[7, -1]]
Also, can I covert to natural logs in place?
[[1, 2.4849],
[2, 2.5649],
[3, 2.6391],
[4, 2.7081],
[5, 2.7726],
[6, 2.7081],
[7, 2.5649]]
Thanks in advance,
jab
--
John Bollinger, CFA, CMT
www.BollingerBands.com
If you advance far enough, you arrive at the beginning.
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