I have a large JSON file (383,255KB). It contains street names, addresses, and lat/long values. I think I'm right in saying this is a WGS84 World Geodetic System 84 file format. All I want to do is query this data,…
I would like to get a cross-table by using pandas dataframe with Python like this: Home Away Tot played 19 19 38 wins 10 8 18 draws 7 5 12 loss 2 6 8 goals_for 40 26 66 goals_against 17…
I have a dataframe that is coming from an api, the string version looks like this: 0 2023-04-17 4.82 2023-04-18 4.82 2023-04-19 4.82 2023-04-20 4.82 2023-04-21 4.81 when I call df.to_json(orient = 'records') it looks like this (no good at…
I am writing a function that returns a Pandas DataFrame object. I would like to have some kind of a type hinting what columns this DataFrame contains, outside mere specification in the documentation, as I feel this will make it…
If I write this in an .Rmd file chunk in RStudio library(dplyr) df %>% group_by(var) and then I run the chunk, the output will have A tibble: 789542 x 8 Groups: var[8] on top on the printed data frame. I…
I have two data frames. DF1 isActive,trackedSearchId True,53436615 True,53434228 True,53434229 DF2 trackedSearchIds,Primary Keyword Group(s) "[53436613, 53436615, 53437436, 53436506]",SEO - Directory-Deployment "[53435887, 53437509, 53437441, 53436615, 53438685, 53437636]",SEO - Other-Glossary "[53437504, 53435090, 53435887, 53434228]",SEO - Other "[53437504, 53435090, 53434229]",SEO - Glossary I…
I'm very new to Python and currently undertaking a personal project using downloaded JSON files from Facebook, all from one chat on messenger. I keep getting an error saying df is not defined, despite me defining df. I have multiple…
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 !=…
My data looks like this: Key1: [Key2:[{},{},...{}]] The code something like this: dict_={} dict_['Key2']=all_items dict_fin={} dict_fin['Ke1']=[dict_] df=pd.DataFrame(dict_fin) df.to_json(filepath, orient="records",lines=True) I would like to have saved json like this: { "Key1": [{"Key2" : [{},{},...,{}]}] } Instead, I get it like this:…
I have a dataframe which contains nested columns as below when converted in to json format. {"id" : 1, "address": {"adress1":"", "city" : "TX", "zip": "" }, "gender": "", "code": 999 } The dataframe is normalized and will be written…