logarithm - Log to the base 2 in python - Stack Overflow
2010年9月15日 · 20. If you are on python 3.3 or above then it already has a built-in function for computing log2 (x) import math. 'finds log base2 of x'. answer = math.log2(x) If you are on older version of python then you can do like this. import math. 'finds log base2 of x'.
python - Why does math.log result in ValueError: math domain …
2023年1月11日 · You may also use math.log1p. According to the official documentation : math.log1p (x) Return the natural logarithm of 1+x (base e). The result is calculated in a way which is accurate for x near zero. You may convert back to the original value using math.expm1 which returns e raised to the power x, minus 1.
Get logarithm without math log python - Stack Overflow
2023年1月16日 · Get logarithm without math log python. Ask Question Asked 12 years ago. Modified 1 year, 9 months ago.
math - Inaccurate Logarithm in Python - Stack Overflow
2009年5月31日 · 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 struck me as a bit odd. I did the same thing with other powers of 2, and it worked perfectly. I ran 'log10(2**31) / log10(2)' and I got a round 31.0
python - How to take the log of all elements of a list - Stack …
2016年6月16日 · 5. import math. x = [1500, 1049.8, 34, 351] y = [math.log10(num) for num in x] This is called a list comprehension. What it is doing is creating a new list whose elements are the results of applying math.log10 to the corresponding element in the original list, which is not an array, btw. edited Jul 25, 2012 at 19:59.
math.log in Python - Stack Overflow
2013年2月8日 · math.log uses floats and these almost always involve some rounding errors. >>> math.log(1000, 10) 2.9999999999999996 If you need it to be exact you should change your algorithm to generate the powers of 10 (simply multiply the last power by 10) and continue as long as the new power is smaller than your input number.
python - NumPy: Logarithm with base n - Stack Overflow
If your version of numpy is older: To get the logarithm with a custom base using math.log: import math. number = 74088 # = 42^3. base = 42. exponent = math.log(number, base) # = 3. To get the logarithm with a custom base using numpy.log: import numpy as np. array = np.array([74088, 3111696]) # = [42^3, 42^4]
difference between exponential and log functions for numpy and …
2015年7月31日 · 3. math functions are standard function (part of the standard python library), so they can be used only on standard types (such as int or float). numpy functions are much more powerful than the math ones (when working on vector / matrix / etc.), but numpy is not a standard library. If you check the type of the exp function, you get the ...
Python math.log and math.log10 giving different results
2021年9月25日 · 4. According to the Python Math module documentation: math.log(x,[base]) With one argument, return the natural logarithm of x (to base e). With two arguments, return the logarithm of x to the given base, calculated as log(x)/log(base). Whereas in the math.log10 section: math.log10(x) Return the base-10 logarithm of x.
python - issue with math.log - Stack Overflow
Wrong answer from math.log(python 3) 2. Wrong output for math.log. 1. Python math.log function math domain ...