This how I parsed multiple json files in a single list base_dir = 'jsons_final_folder/' data_list = [] for file in os.listdir(base_dir): if 'json' in file: json_path = os.path.join(base_dir, file) json_data = pd.read_json(json_path, lines=True) data_list.append(json_data) And I got a list that…
I have an API with student data like this, for every student id there will be a corresponding API link with mark details. for example: https://api.school.com/2020/students.json { "Students": [ { "StudentName": "AAA", "Sid": 1020, "Saddress": "st.aaa", "Sdob": "10-11-1999" }, {…
I have a this array of dictionaries: jsn = [{'ID' : '01', 'Item' : 'Apple', 'salesman' :'Johnny'}, {'ID': '02', 'Item': 'carrot', 'salesman':'Patricia'}, {'ID': '04', 'Item' : 'airplane', 'salesman' : 'Eddgard'}, {'ID' : '05', 'item' : 'iron', 'salesman' : 'Bettany'}] and…
I have data like this which represents hierarchical tree structure: [ { "level":0, "name":"python" }, { "level":1, "name":"food" }, { "level":2, "name":"banana" }, { "level":3, "name":"protein" }, { "level":2, "name":"apple" }, { "level":1, "name":"fuel" } ] I want to transform…
I would like to ask help on how to creating nested json from dataframe. I have a dataframe name value xAxis1 yAxis1 xAxis2 yAxis2 lineStyle 0 LCL 0.205512 0 0.205512 200 0.205512 {'type': 'dashed'} 1 UCL 0.327907 0 0.327907 200…
I have dataframe df which has column called test_col which contains json structures as shown below. As you can see lineItemPromotions object has nested jsons in it which can have 0-10 numbers of items in it. By unnesting, it should…
I have a data structure which is a very complex/nested JSON. After reading other solutions on SO, I am comfortable with the fact that I may need to make multiple DFs and merge them together (e.g json_normalize with multiple record…
Confused. Trying to build a scraper of UK news in python. import feedparser import pandas as pd def poll_rss(rss_url): feed = feedparser.parse(rss_url) for entry in feed.entries: print("Title:", entry.title) print("Description:", entry.description) print("n") def poll_rss(rss_url): feed = feedparser.parse(rss_url) for entry in feed.entries:…
I have a spreadsheet like the following: As you can see, there are multiple "tags" columns like this: "tags_0", "tags_1", "tags_2". And they can be more. I'm trying to find all the "tags", and put them inside a list using…
I'm trying add a column to my dataframe that contains the information from the other columns as a json object My dataframe looks like this: col_1 col_2 1 1 2 2 I'm then trying to add the json column using…