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numpy.log10(x[, out]) =
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Return the base 10 logarithm of the input array, element-wise.
Parameters: x : array_like
Input values.
Returns: y : ndarray
The logarithm to the base 10 of
x
, element-wise. NaNs are returned where x is negative.See also
emath.log10
Notes
Logarithm is a multivalued function: for each
x
there is an infinite number ofz
such that10**z = x
. The convention is to return thez
whose imaginary part lies in[-pi, pi]
.For real-valued input data types,
log10
always returns real output. For each value that cannot be expressed as a real number or infinity, it yieldsnan
and sets theinvalid
floating point error flag.For complex-valued input,
log10
is a complex analytical function that has a branch cut[-inf, 0]
and is continuous from above on it.log10
handles the floating-point negative zero as an infinitesimal negative number, conforming to the C99 standard.References
[R46] M. Abramowitz and I.A. Stegun, ?Handbook of Mathematical Functions?, 10th printing, 1964, pp. 67. http://www.math.sfu.ca/~cbm/aands/ [R47] Wikipedia, ?Logarithm?. http://en.wikipedia.org/wiki/Logarithm Examples
>>> np.log10([1e-15, -3.]) array([-15., NaN])
numpy.log10()
2017-01-10 18:14:52
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