I'm trying to convert the Json type data to dataframe. I extrated data from following webpage with following code. webpage I extract data import pandas as pd import requests import json url = r'https://www.hkex.com.hk/eng/csm/MonthlyStat/data_tab_monthly_202302e.js?_=1' response = requests.get(url) if response.status_code !=…
in the data, column df['comments'] consists of 88107 rows with arrays with dictionaries ` [{'text': "It will be curious to see where this heads in the long run. CBS is on a tear but will it fit their image, will…
I have a DataFrame with these columns: id, jan_x, jan_y, feb_x, feb_y, ..., dec_x, dec_y that I would like export as a json that is structured like this: { "id1": [ [jan_x, feb_x, ..., dec_x], [jan_y, feb_y, ..., dec_y] ],…
I have the following .json file: data: 0: area_code "1A40" blacklist 0 cost_center "Payments " country "Colombia" created_date "Thu, 03 Jul 2014 12:57:02 GMT" . . . 1: area_code "1A42" blacklist 0 cost_center "Payments " country "Colombia" created_date "Thu, 03…
Tried accesing a file stored in a Azure Data Lake Storage using pandas read_csv method. But facing issue as the folder path is interpreted as a list. Is there any way to explicity specify pandas that its a path and…
I have this JSON list in Python: [{'id': 'TC2-FFA', 'shortCode': 'TC2-FFA', 'dataSet': {'datumPrecision': 2, 'id': 'TC2_37', 'shortCode': 'TC2_37', 'shortDescription': 'Clean Continent to US Atlantic coast', 'displayGroup': 'BCTI', 'datumUnit': 'Worldscale', 'data': [{'value': 156.11, 'date': '2023-03-06'}], 'apiIdentifier': 'RDSX9KRCHQI9TVGID5O7XQGBP1KKBZ0F'}, 'datumUnit': 'WS', 'datumPrecision': 3,…
Unable to convert pandas header alone to html. I have below code, df = pd.read_csv("Employees.csv") df1= df.columns.to_frame() df1.to_html("upload.html") Result of the code is , Expected result is, Unable to get the header alone from the index of the data frame.…
I'm a brand new coder who was tasked (by my company) with making a web scraper for eBay, to assist the CFO in finding inventory items when we need them. I've got it developed to scrape from multiple pages, but…
I have the following nested dictionary with lists inside: [{ "id": 467, "status": 2, "leavePeriod": { "owner": { "employeeNumber": "2620", "firstName": "fn_467", "lastName": "ln_467" }, "ownerId": 46, "leaves": [ { "leaveAccount": { "id": 1121, "name": "Vacation days 2021/2022", "url": "https://some_link/1121"…
I have a string, which I retrieved as a nested JSON field from a Mongo database "[{'actionId': '29df54c0-9f08-4231-8eb2-ca2457003f2d', 'actionName': 'Create a team', 'userActionStatus': 'COMPLETED', 'currentCount': 1, 'targetCount': 1, 'lastActionDate': datetime.datetime(2022, 6, 24, 14, 17, 17, 785000)}]" I'm unable to parse…