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How to do exponential and logarithmic curve fitting in Python? I found only polynomial fitting
...py.array([1, 7, 20, 50, 79])
>>> y = numpy.array([10, 19, 30, 35, 51])
>>> numpy.polyfit(numpy.log(x), y, 1)
array([ 8.46295607, 6.61867463])
# y ≈ 8.46 log(x) + 6.62
For fitting y = AeBx, take the logarithm of both side gives log y = log A + Bx. So fit (log y) against x.
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Git: cannot checkout branch - error: pathspec '…' did not match any file(s) known to git
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“unrecognized selector sent to instance” error in Objective-C
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Comparing two NumPy arrays for equality, element-wise
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Jan 16 '15 at 13:51
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edited Oct 16 '15 at 17:51
answered Jan 24 '11 at 16:51
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edited May 17 '16 at 16:51
answered Dec 12 '09 at 23:51
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