I have a python program which outputs JSON files. I want to get the JSON files into google sheets.
I looked for a way to upload JSON files directly to google sheets, and couldn't find a way.
This prompted me to look for a way to store my JSON files online, so google sheets could use an API to call the JSON data.
I have tried using Google Cloud Platform, but I could not find a way to call the JSON data from Google Cloud Platform to google sheets. I looked into a few other web based services that offer storage and api services at low-no cost, but I could not find any. I am fairly proficient Python, but that's the extent of my programming knowledge.
At this point, I am at a loss as far as a method of getting my JSON data into a google spreadsheet. Any and all advice/suggestions are welcome and appreciated, and I am glad to answer any questions.
I would use this https://pypi.org/project/tablib/0.9.3/
to convert if from JSON to xls. Then you can open it up directly in google sheets.
Edit: Found a video which shows how to write Dictionary structured data to CSV.
https://www.youtube.com/watch?v=s1XiCh-mGCA
Related
Is there any way i can automatically update my google sheets data Using appscripts or Python?
Right now, I have access(through Gmail) to download it using a link, It downloads a csv file which I later Update in google sheets.
Any Help? Suggestion ? Advice?
Tried using scripts, but doesnot update for some reason.
So I'm able to use the googlesheets4 package in R to read a google sheet, but I'm unable to use pandas.read_csv(url) to read a google sheet. Using read_csv returns HTML(which seems to be because it's redirecting to an authorization page), when I set the google sheet to public, read_csv works.
This is for work, and the sheets are set to anyone in organization and view with link.
Anyone able to help?
My thought is that if a package in R can do it, that there must be a way in Python as well.
I was wondering if it is possible at all to store downloadable links on google sheets through the google api.
I can currently upload .npy files to google sheets but it converts it to one data point per cell. I would like to upload a file that other ppl can download as well, sort of like a pseudo database. Any tips or recommendations would be appreciated. Thanks!
I am working with the Google Sheets API in Python but am having trouble finding out how to save a newly created Spreadsheet to a specific folder. As of now all it does is populate my drive without the ability to indicate an end location. Any idea how to do this in Python?
I have found help with other languages but the python documentation is much different. Any insight would be great...
I am pretty new in this, so wanted to have code and process to load data from csv file (Placed in Google Storage) to BigQuery Table using the python code and DataFlow.
Thanks in advance.
There are different BigQuery libraries depending on the language. For Python you would find this one.
But if what you want is the exactly piece of code to upload CSV from Google Cloud Storage to Bigquery, this example might work for you: "Loading CSV data into a new table"
You can see also in the same documentation page "Appending to or overwriting a table with CSV data".
You can go also to the GitHub in order to check all the methods available for Python.