Create a dictionary consisting of items of subarrays and sublists [duplicate]

Question

This is my data

import numpy as np

class_data=[np.array(['class3','class5']),np.array(['claas1','class9'])]

data=[['dog.txt','cat.txt'],['mouse.txt','horse.txt']]

 

needed result is to create the dictionary that looks like that:

[[{'text': 'dog.txt', 'class': 'class3'},

  {'text': 'cat.txt', 'class': 'class5'}],

 [{'text': 'mouse.txt', 'class': 'class1'},

  {'text': 'horse.txt', 'class': 'class9'}]]

I attempt to:

out_data=[]

for kk,kb in zip(class_data,data):

    for ii,kb2 in enumerate(kb):

        for i,v in enumerate(kk):

            out_data.append({'text': kb2, 'class': v})

            

out_data

which makes every possible combination from each identical array which is wrong.

[{'text': 'dog.txt', 'class': 'class3'},

 {'text': 'dog.txt', 'class': 'class5'},

 {'text': 'cat.txt', 'class': 'class3'},

 {'text': 'cat.txt', 'class': 'class5'},

 {'text': 'mouse.txt', 'class': 'claas1'},

 {'text': 'mouse.txt', 'class': 'class9'},

 {'text': 'horse.txt', 'class': 'claas1'},

 {'text': 'horse.txt', 'class': 'class9'}]

this solution should work iteratively and also can work with the larger datasets

Answer 1

The below code will work:

out_data=[]

for pairs in zip(data, class_data):

    temp_list = []

    for x in zip(pairs[0], pairs[1]):       

        temp_list.append({'text': x[0], 'class': x[1]})       

    out_data.append(temp_list)

out_data

Output:

[[{'text': 'dog.txt', 'class': 'class3'},

  {'text': 'cat.txt', 'class': 'class5'}],

 [{'text': 'mouse.txt', 'class': 'claas1'},

  {'text': 'horse.txt', 'class': 'class9'}]]

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