Category : arrays

I have an array x_train with the following shape (3800, 10): [[ 8.58786106 2.05531597 47.69544082 … 22.18313066 58.95737578 16.74565073] [ 9.12246609 2.22890568 54.10625074 … 26.04059537 56.0996469 18.67649081] [ 8.69304657 1.68278122 49.72647589 … 27.39661295 55.67941362 21.72374764] … [ 7.38825607 1.9323082 42.25193966 … 26.32971473 76.62631333 23.39134685] [ 9.36668968 2.21513939 51.51743298 … 15.17773412 48.62399762 18.85870167] [ 6.85041714 1.48223543 ..

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Suppose you have an array of points that have a chance to be flipped symmetrically (shown below) from matplotlib import pyplot as plt import numpy as np # Data a = np.array([0.1,-0.325,-0.55,0.775,1]) # x-axis b = np.array([10,-3.077,-1.818,1.2903,1]) # y-axis c = np.array([-0.1,0.325,0.55,-0.775,-1]) # x-axis d = np.array([-10,3.077,1.818,-1.2903,-1])# y-axis y = [a,b,c,d] # The array is ..

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I tried to find a simple example in python that prints all sub-arrays with sum greater than a given value but couldn’t find anything. All the examples are trying to find the length of one of the sub-array or number of sub-arrays. https://www.geeksforgeeks.org/number-of-subarrays-having-absolute-sum-greater-than-k-set-2/ https://www.geeksforgeeks.org/minimum-length-subarray-sum-greater-given-value/ https://www.geeksforgeeks.org/number-subarrays-sum-less-k/ There is one example which could have helped me but ..

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I have a CSV file like this: (userId, movieId, score) and ordered by userId user1,movie1,0.1 user1,movie2,0.2 user2,movie2,0.4 user2,movie1,0.2 I want to group them in an array of dictionaries like this: [ { "userId":"user1", "scores":[ { "movieId":"movie1", "score":0.1 }, { "movieId":"movie2", "score":0.2 }, ] }, { "userId":"user2", "scores":[ { "movieId":"movie2", "score":0.4 }, { "movieId":"movie1", "score":0.2 } ..

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