Appending a different dataset to ONE list every iteration-CodePudding

In my current code I'm iterating through 4500 cell values of a column from an excel file. In each iteration, the cell value is added between two halves of an invalid URL to form a valid URL. I can then request data from the URL for that specific cell value. How can I append the datasets for each cell value to ONE list in Python?

import json
import requests
import pandas as pd

data = pd.read_excel('allstockdata.xlsx')

look = list(data["Meals"])
for i in look:
    alist = [] #Line of Interest
    i = str(i)
    alldata = json.loads(requests.get(url1half1   i   url1half2).text)   json.loads(requests.get(url2half1   i   url2half2).text) #Gets data in form of single nested dictionary in list for each iteration [{}]
    alist.append(alldata) # Line of Interest

    print(alist)

Current Output for 2 iterations:

[[{'Fruit': 'Apple', 'Protein': 'Steak', 'Vegetable': 'Cabbage' }]]
[[{'Fruit': 'Pear', 'Protein': 'Chicken', 'Vegetable': 'Spinach'}]]

DESIRED OUTPUT

[
  [{'Fruit': 'Apple', 'Protein': 'Steak', 'Vegetable': 'Cabbage' }],
  [{'Fruit': 'Pear', 'Protein': 'Chicken', 'Vegetable': 'Spinach'}],
]

CodePudding user response：

You should move the alist outside the for-loop like below:

import json
import requests
import pandas as pd

data = pd.read_excel('allstockdata.xlsx')

look = list(data["Meals"])

alist = [] #Line of Interest
for i in look:
    i = str(i)
    alldata = json.loads(requests.get(url1half1   i   url1half2).text)   json.loads(requests.get(url2half1   i   url2half2).text) #Gets data in form of single nested dictionary in list for each iteration [{}]
    alist.append(alldata) # Line of Interest

print(alist)