Sep 15, 2010 · In python 3 or above, math class has the following functions import math math.log2(x) math.log10(x) math.log1p(x) or you can generally use math.log(x, base) for any base you want.

Nov 17, 2015 · I am wondering why the result of log base 10 (1.5) in python is 0.405465108108 while the real answer is 0.176091259. This is the code that I wrote: import math print math.log(1.5) Can someone tel...

I have to create a python script to solve an equation (screenshot). Unfortunately, in my research all over the internet I cannot figure out how in the world to either convert ln to log or anything usable, or anything.

Feb 8, 2013 · I am writing a Python program to print all the powers of ten before an inputted number. For example, if the input is 12345, the program should output 10, 100, 1000, 10000. Here is my program - im...

Nov 3, 2012 · This shows our value compared to the math.log value (separated by a space) and, as you can see, we're pretty accurate. You'll probably start to lose some accuracy as you get very large (e.g. ln(10000) will be about 0.4 greater than it should), but you can always increase n …

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 ...

Sep 1, 2023 · Recall that when you write math.log(x, 3), Python is actually calculating something like math.log(x) / math.log(3), with both (natural) log calculations and the division having to be rounded to the nearest float.

May 10, 2017 · Which is why math.log is faster for scalars compared to numpy.log. But if you operate on arrays and want to take the logarithm of all elements in the array NumPy can be much faster. On my computer if I time the execution of np.log on an array compared to math.log of each item in a list then the timing looks different: arr = np.arange(1, 10000000)

May 31, 2009 · I work daily with Python 2.4 at my company. I used the versatile logarithm function 'log' from the standard math library, and when I entered log(2**31, 2) it returned 31.000000000000004, which stru...

Jun 7, 2009 · You can only compute the logarithm of a positive number. Trying to compute the logarithm for a negative number or zero will result in a "math domain error" in Python. By the way: it looks like you're actually trying to compute a logarithm base 2. You can do this with math.log: w=math.log(q*q1, 2) The second, optional, parameter is the base. It defaults to e (ie: natural log).