All Questions
5 questions
0
votes
3
answers
108
views
running sum of np.array with widely varying elements
I need to calculate the running sum of np.array. Let's say a is a given np.array of length l and n is an integer step, then I need an array b of length l - n + 1, where
b= [a[0]+a[1]+...+a[n-1], a[1]+...
- 19
1
vote
1
answer
209
views
Mismatch between Matlab log and Numpy np.log
While rewriting an old Matlab code to NumPy, I noticed differences in logarithmic calculation.
In NumPy, I use np.log, Matlab uses log function.
b = [1 1 2 3 5 1 1];
p = b ./ sum(b);
sprintf('log(%....
- 345
1
vote
2
answers
200
views
Handling operations with infinities in python
I have a piece of code that does a simple calculation.
import numpy as np
#Constants
R = 8.314462
T = 298.15
e = -678.692
e_overkbT = e*1000/(R*T)
#Independent variable
mu = np.linspace(-2000,2000,...
- 23
3
votes
2
answers
938
views
arctan2 discrepancy in NumPy
I have come across a puzzling issue when using arctan2 in Numpy. Searching for atan2 errors did not answer the question, but someone might know the
reason for this.
f = np.arange(0,100)
w = 2*np.pi*f/...
- 39
3
votes
1
answer
185
views
Tiny numerical difference in sum-of-squares depending on numpy procedure call used
I am writing a function which computes sum of squares of errors. x and y are vectors of the same length; y is observation data, x is data computed by my model.
The code is like:
>> res = y....
- 46