arrays

How to split an array using its minimum entry

How to split an array using its minimum entry Question: I am trying to split a dataset into two separate ones by finding its minimum point in the first column. I have used idxmin to firstly identify the location of the minimum entry and secondly iloc to slice the array from 0 to the minimum …

Total answers: 1

How to find the indices of the maximum values of the fifth column?

How to find the indices of the maximum values of the fifth column? Question: I have array A as: A = [[0.0, 1.0, 3.0, -1.0, -1008.0], [0.0, 1.0, 3.0, -1.0, -1008.0], [0.0, 1.0, 3.0, 1.0, -1328.0], [0.0, 1.0, 3.0, 1.0, -1328.0], [0.0, 1.0, 3.0, -1.0, -1328.0], [0.0, 1.0, 3.0, -1.0, -1328.0], [0.0, 1.0, 3.0, -1.0, …

Total answers: 4

why numpy.in1d() works more faster in my example but my object?

why numpy.in1d() works more faster in my example but my object? Question: The 2 tables I have to deal with in my object like this: TABLE1: code_material yield 1000100001 1000 1000100002 500 1000100003 1024 where code_material is a ten-digit number whose value does not exceed 4e+9 TABLE2: code_material_manufacturing input/output code_material qty 1000100001 1000154210 IN 100 …

Total answers: 1

How can I sort a JSON array by a key inside of it?

How can I sort a JSON array by a key inside of it? Question: I have an unknown number of items and item categories in a json array like so: [ { "x_name": "Some Name", "x_desc": "Some Description", "id": 1, "category": "Email" }, { "x_name": "Another name here", "x_desc": "Another description", "id": 2, "category": "Email" …

Total answers: 1

How to compute one mean dataset of 4 datasets [Python, xarray]

How to compute one mean dataset of 4 datasets [Python, xarray] Question: I’m having 4 [GFS] temperature datasets: they are all the same in spatial resolution, the only difference is timestamp – they are for 00 UTC, 06 UTC, 12 UTC, 18 UTC within one day. I need to compute the mean daily temperature dataset. …

Total answers: 1

non-iteratively turning a 2d numpy array into a 1d array, via an AND operation

non-iteratively turning a 2d numpy array into a 1d array, via an AND operation Question: i have a 2d numpy array of boolean values of shape(1E5, 2), with it acting like an array of x,y values. ie, 1E5 items each with 2 boolean values, being stored in that initial 2d array example: [ [True, False], …

Total answers: 1