I have a JSON output and I want to create an IF statement so if it contains the value I am looking for the do something ELSE do something else. JSON Blob 1 [ { “domain”:”www….
I have a JSON output and I want to create an IF statement so if it contains the value I am looking for the do something ELSE do something else. JSON Blob 1 [ { “domain”:”www….
for example i have a list which contain: [‘Lorem Ipsum is simply dummy text of the printing and typesetting industry.’, ‘Why do we use it?’, ‘Where does it come from?’, ‘The standard chunk of Lorem …
I don’t really have a good reason for needing to know this, but is it possible to find the 0th index a certain amount of times? Say like you have this piece of code ar = [[[[“a”]]]] print(ar[…
I am using this code to compute all possible sum of a n x m matrix. The code is working absolutely fine and it is fast too when using arrays of 32-bit integers like [[777,675,888],[768,777,698]]. It …
here is my code old_lists = [[‘one’, ‘two’, [‘three’, ‘four’, ‘five’]], [‘six’, ‘seven’, [‘eight’, ‘nine’, ‘ten’]], [‘eleven’, ‘twelve’, [‘thirteen’, ‘fourteen’, ‘fifteen’]]] new_list = [] for i, …
I have this piece of code: import json a = ”’ { “c”: { “d”: [ { “e”: “f” } ] } } ”’ j = json….
Say I have 9 2D arrays in the following format: A1 = [[ a1, b1, c1 ], [ d1, e1, f1 ], [ g1, h1, i1 ]] A2 = [[ a2, b2, c2 ], [ d2, e2, f2 ], [ g2, h2, i2 ]] ….. A9 = [[ a9, …
I want to take the mean of 9 arrays element wise so to have one I need something fast. The first bit of code takes forever. And with numpy mean without specifying an axis I get one value. I dont want …
I am trying to make a function where if the last value of order is 1 then the code will append 1 to orders and then append the number 20 to the value array as well. If the last value is 0 in order …
I created nested dictionary to keep multiple values for each combination, example rows in the dictionary is as follows:- dict = {‘A’: {B: array([1,2,3,4,5,6,7,8,9,10]), C: array([array([1,2,3,4,5,6,7,…