from brian2 import log)
log(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])¶
Natural logarithm, element-wise.
The natural logarithm
log()is the inverse of the exponential function, so that
log(exp(x)) = x. The natural logarithm is logarithm in base
x : array_like
out : ndarray, None, or tuple of ndarray and None, optional
A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or
None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
where : array_like, optional
Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.
For other keyword-only arguments, see the ufunc docs.
y : ndarray
The natural logarithm of
x, element-wise. This is a scalar if
xis a scalar.
Logarithm is a multivalued function: for each
xthere is an infinite number of
exp(z) = x. The convention is to return the
zwhose imaginary part lies in
For real-valued input data types,
log()always returns real output. For each value that cannot be expressed as a real number or infinity, it yields
nanand sets the
invalidfloating point error flag.
For complex-valued input,
log()is a complex analytical function that has a branch cut
[-inf, 0]and is continuous from above on it.
log()handles the floating-point negative zero as an infinitesimal negative number, conforming to the C99 standard.
[R21] M. Abramowitz and I.A. Stegun, “Handbook of Mathematical Functions”, 10th printing, 1964, pp. 67. http://www.math.sfu.ca/~cbm/aands/ [R22] Wikipedia, “Logarithm”. http://en.wikipedia.org/wiki/Logarithm
>>> np.log([1, np.e, np.e**2, 0]) array([ 0., 1., 2., -Inf])