Say I have n parameters X1, X2, ..., Xn, and to each "grid-point" X = (X1, X2, ..., Xn) I want to associate a value f(X).
So in the end I will have a structure like an n-dimensional matrix.
Assume this data-set is going to be very large, i.e. each parameter Xi ranges over hundreds or thousands...
Hello,
I am clear on 1D and 2D Numpy arrays, how to create them and address them).
1D array: single list
2D array: list containing multiple lists as elements
3D array: list containing lists which contain lists as elements
Array elements can be address using indices as a[], a[][], a[][][]...
Given the parameters ##n## and ##m##, I'd like to initialize a ##n \times n ## 4D array where each entry is an ##m \times m ## matrix, and where each column of the matrix is an array of type numpy.linspace(0,1,m). Furthermore, I'd only like to have entries on the diagonal and above it, or only...
I feel like I have over complicated this question but here is the code I wrote out for it, I wrote it as a function but when I printed my values I realized I did not need a function to do so. So would I just use my second code to answer the question.
import numpy as np
def array_zero(n)...
I'm confused as to why this bubble sort I'm implementing is setting _all_ items to one of the items (I have no idea which one as array is too big)
the data type is of
...
[[1128 1026 1192 1023]]
[[ 771 195 858 196]]
[[ 953 1799 955 1738]]]
when I have an array of int, this same algorithm...
Dear Sirs,
I have a signal which has an attenuation of 20dB per decade, how do I remove this attenuation using SCIPY? Alternatively how to do it in MATLAB if there are no SCIPY users here?
I'm a SCIPY/MATLAB novice fyg.
Thank you for your kind assistance
Abim
Homework Statement
[/B]
This problem is from Mark Newman's Computational Physics, problem 7.9, found at
http://www-personal.umich.edu/~mejn/cp/exercises.html. The problem gives us a blurry convolved image, according to a Gaussian point spread function and our objective is to deconvolve it to...
I'm creating a Monte Carlo simulation of the 2D Ising Model for a graduate course in computational materials science. Part of the assignment is to calculate the uncertainty in the calculation of the average magnetization per spin. To do so, we are told to find the correlation time for our data...
Hi
Lets say I have a txt file with m rows with n columns of numbers of the form:
Lets say I want to take every p'th row and take the second and third columns and turn it into a \frac{m}{p}\times 2 matrix. How would I go about doing that?
I have large 2d matrices from dicom files that i wish to filter with a 3x3 mask. the image arrays are of varying size and are padded with one border of zeros for the edge handling of the mask. i need to iterate over every element in the array and multiply it by the mask. I've done it in SciLab...
So I am fairly new to Python and feel somewhat comfortable with it. I am trying to do something what I think seems kind of simple however am not too experienced with loading files into Python (or any programming language for that matter).
What I am trying to do is I have csv files that contain...
Hi,
I have a data vector that consists of directions measured in an experiment. I wish to create a probability density function. As the data is circular and multimodal I use a kernel density estimate with von Mises distribution (essentially a Gaussian on the unit circle) as the basis function. I...
Homework Statement
As a string in my program.
Homework Equations
Solving a system with the forward phase of row echelon reduction and a consecutive back substitution.
All done by numpy here. (The book suggested MATLAB, etc).
The Attempt at a Solution
import numpy
""" In a wind tunnel...
What am I trying to do? I'm trying to implement a simulation of a chaotic billiard system, following the algorithm in this excerpt.
How am I trying it? Using numpy and matplotlib, I implemented the following code
What is the problem? When calculating phi_new, the equation has two solutions...
Python (numpy) question:
I have two 2D numpy arrays, A[i,j] and B[k,l], but the indexes are unrelated to each other (A and B won't even have the same dimensions in general). I want to be able to add/multiply these two together to get a 4D matrix: C[i,j,k,l] = A[i,j] + B[k,l] or C[i,j,k,l] =...