Tag: arrays

FAST: 1D overlaps with rows in 2D?

let say i have 2D array, f.e.: I want to calculate overlap with 1D vector, FAST. I can almost do it with (8ms on big array): The problem with it is that it only matches if both Position and Value match. F.e. 5 in 2nd column of 1d vec did not match with 5 in 3rd column on the 2nd

Manipulating numpy arrays (concatenating inner sub-arrays)

arrays numpy python

I have a question of manipulating numpy arrays. Say, given a 3-d array in the form np.array([[[1,2],[3,4]], [[5,6],[7,8]]]) which is a (2,2,2) array. I want to manipulate it into a (2,4) array such that a = np.array([[1,2,5,6],[3,4,7,8]]). I want to know is there any built-in methods of numpy particularly dea…

GaussianProcessRegressor ValueError: array is too big; `arr.size * arr.dtype.itemsize` is larger than the maximum possible size

arrays gaussian-process python python-3.x scikit-learn

I am running the following code: The shape of my input is: (19142, 21) dtypes are each: float64 Added in Edit: X and y are Pandas Dataframes. After .values they’re each numpy arrays And I get the Error: ValueError: array is too big; `arr.size * arr.dtype.itemsize` is larger than the maximum possible siz…

Command line array argument into a python script

arrays command-line-arguments python

I would like to create a python script and parse a list of command-line arguments. Specifically, I would like to give it the following arguments and have it read them as an array. Something like this: where the input array is: and inside the script, I want to do a “for loop” and and assign the var…

Calculate squared deviation from the mean for each element in array

arrays python variance

I have an array with shape (128,116,116,1), where 1st dimension asthe number of subjects, with the 2nd and 3rd being the data. I was trying to calculate the variance (squared deviation from the mean) at each position (i.e: in (0,0), (0,1), (1,0), etc… until (116,116)) for all the 128 subjects, resulting…

Remove and add values to numpy array

arrays numpy python

Is there a more efficient way to remove the 0 from the beginning and insert the 20 at the end and retain the shape (1, 20)? Output: Answer You can just select a subset of the current array excluding the first element and then add 20 or whatever scalar you want at the end.

I’m trying to print the largest number from the inputs that the user gives, but it’s printing the wrong number

arrays for-loop function input python

Basically, I’m trying to build a code to get the largest number from the user’s inputs. This is my 1st time using a for loop and I’m pretty new to python. This is my code: When I try running my code this is what happens: Any fixes? Answer So, first things first, the use of max can be avoided…