Is there a way I could modify the function down below so that it could compute arrays with different length sizes. the length of Numbers array is 7 and the length of the Formating is 5. The code down below compares if any number in Formating is between two values and if it the case then it sums the values
Tag: numpy
Insert matrix inside another matrix using numpy without overwriting some original values
I need to insert a matrix inside another one using numpy The matrix i need to insert is like this one: While the other matrix is like this: The code i’m actually using this one: The problem matrix that i’m getting is this one: while the expected result is: The error is that, since the matrix conta…
Fastest way for computing pseudoinverse (pinv) in Python
I have a a loop in which I’m calculating several pseudoinverses of rather large, non-sparse matrices (eg. 20000×800). As my code spends most time on the pinv, I was trying to find a way to speed up the computation. I’m already using multiprocessing (joblib/loky) to run with several processes,…
How to create the Numpy array X of shape (2638, 1838) for a dataframe has shape (2638, 1840)?
Hi, can someone please help me with this? What should do if I want to use NumPy to get an array X which has a shape (2638, 1838) while the dataframe has a shape of (2638, 1840)? Here is my code: Answer Conversion to Numpy and back to Pandas, as advised in one of comments to your post, is not
Verify Median Value with Area Under the Curve Calculation
I want to calculate the area under this curve for confirmation that the size is correct. How would one go about doing this? I have a frequency plot below. The package utilized for this median calculation is here: https://github.com/nudomarinero/wquantiles I started with thinking the trapezoid method could be …
Pyplot start x axis at negative values
I am trying to plot a piecewise function, but at the moment I am getting an error message when I try to start my x values at a negative. The code works fine if I run the following (albeit with only one part of the function): But when I change the first line to I get thrown the error message:
*args in Python in combination with numpy.add()
Is there a way to add two arrays together with add function, using variable arguments? I know this example is wrong, but it’s just to get the idea Answer If all you want to do is add the arrays component-wise, you can use +, which works on numpy arrays. Alternatively, as you’ve already pointed out…
Whats the difference between `y = x` and `y = x[:]` with x a numpy-ndarray?
I was reading this question, about immutable numpy arrays, and in a comment to one of the answers someone shows that the given trick does not work when y = x[:] is used rather than y = x. (Python 3.7.2, numpy 1.16.2) What even is the difference between these two and why do they behave so differently in this s…
How do I merge several 2D arrays into a single 2D array (list) in a box-like manner in python?
Say I have 9 2D arrays in the following format: and I want to concatenate them to get a 2D array like this: where I will have N arrays in my case and I calculate the value of N like so: So essentially, I had an image that was broken down into N tiles and after some processing, I have
Python – meshio: How to define vertex cells for point-only data?
Problem I have a 2D time-series data, and I want to save it as XMDF using meshio. The problem is, my mesh is just an array of points with associated point data, and I don’t have any cell defined. As such, I tried to use the “vertex” cell type, which is a single-point cell, but it doesn’…