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This script: import numpy as np a = np.array([[0, 1], [1, 1], [1, 0]]) b = np.array([[1, 0], [1, 1], [1, -1]]) dot = a[:, 0]*b[:, 0] + a[:, 1]*b[:, 1] print(dot) produces elementwise dot product of ...

Regarding the Codility problem MinAbsSum at https://app.codility.com/programmers/lessons/17-dynamic_programming/min_abs_sum/, the performance is bad if I use HashMap to solve the problem. I expect the ...

I have a Pandas Dataframe that I derive from a process like this: df1 = pd.DataFrame({'c1':['A','B','C','D','E'],'c2':[1,2,3,4,5]}) df2 = pd.DataFrame({'c1':['A','B','C'],'c2':[1,2,3],'c3': [np.array((...

I'm working with very large NumPy arrays (millions to billions of elements) and need to find the indices of the N largest values in the array. Using np.argsort() followed by slicing to get the last N ...

The numpy.arange function takes the three parameters: start, stop, step (positional args.) The default step is 1. Throughout my entire Numpy experience, the last element of the resultant array is not ...

I have written four functions that modify a square 2D array in place, it reflects half of the square array delimited by two sides that meet and the corresponding 45 degree diagonal, to the other half ...

class Solution(object): def removeDuplicates(self, nums): unique = [] for num in nums: if num not in unique: unique.append(num) nums[:] ...

I am working on the LeetCode problem 3510. Minimum Pair Removal to Sort Array II: Given an array nums, perform the following operation any number of times: Select the adjacent pair with the minimum ...

When I need to generate an N-dimensional index array in C-order, I’ve tried a few different NumPy approaches. The fastest for larger arrays but less readable: np.stack(np.meshgrid(*[np.arange(i, dtype=...

Say we have an array: a = np.array([ [11, 12, 13], [21, 22, 23], [31, 32, 33], [41, 42, 43] ]) a[[1, 3], [0, 2]] = 0 So we want to set zeros to 0th and 2nd element at both 1st and ...

I would like to also save the images in the array, I'm able to return them but not save them, I get AttributeError: 'Axes' object has no attribute 'array_interface' import random import matplotlib....

I'm newbie in python language and have some prolem here. I have a list of name and score for example: score = [['Andy', 80], ['John', 70], ['Diana', 100]] I want to Delete or Update score based on it'...

This script: import numpy as np a = np.linspace(-2.5, 2.5, 6, endpoint=True) b = np.vstack((a, a)).T c = np.array([2, 1]) print(b*c) produces: [[-5. -2.5] [-3. -1.5] [-1. -0.5] [ 1. 0.5] [ ...

I'm new with elastic (any also with python) but have some first success: es = Elasticsearch(['http://localhost:9200'], basic_auth=('user', 'pw')) query_body = { "query": { "...

I have two numpy 'arrays': 1st is a 2D array with shape (N, 2) 2nd is a 3D "matrix" with shape (N, M, 2) where M can be different from 0 to N-1 Code example import numpy as np a = np.array([...