How do you do natural logs e g ln with numpy in Python

Question

Using numpy  how can I do the following   ln x    Is it equivalent to   np log x    I apologise for such a seemingly trivial question  but my understanding of the difference between log and ln is that ln is logspace e

User · Accepted Answer

np log is ln  whereas np log10 is your standard base 10 log   Relevant documentation   http   docs scipy org doc numpy reference generated numpy log html  http   docs scipy org doc numpy reference generated numpy log10 html

User · Answer

You could simple just do the reverse by making the base of log to e  import math  e   2 718281  math log e  10    2 302585093 ln 10    2 30258093

User · Answer

Correct  np log x  is the Natural Log  base e log  of x   For other bases  remember this law of logs  log-b x    log-k x    log-k b  where log-b is the log in some arbitrary base b  and log-k is the log in base k  e g    here k   e  l   np log x    np log 100    and l is the log-base-100 of x

User · Answer

I usually do like this   from numpy import log as ln   Perhaps this can make you more comfortable

User · Answer

from numpy lib scimath import logn from math import e   using  x - var logn e  x

[python] How do you do natural logs (e.g. "ln()") with numpy in Python?

Examples related to python

Examples related to numpy

Examples related to logarithm

Examples related to natural-logarithm