I am trying to convert a complex json (in nested format) to csv. { "caudal": [ {"ts": 1612746051248, "value": "0.0"}, {"ts": 1612745450856, "value": "0.0"}, {"ts": 1612744250898, "value": "0.0"}, {"ts": 1612743650861, "value": "0.0"}, {"ts": 1612743050821, "value": "0.0"} ], "FreeHeap": [ {"ts":…
I am creating a server application that will utilize a remote database created by a Flask GUI. To keep things simple (and since it's primarily threaded calculations), I want to build my server application without utilizing a Flask framework. I…
So I Wrote the code and ran it and got the .xlsx file but the output is not as the same order of the Url list i put in the code. #importing the libraries import re import lxml import chardet…
I trying to scrape data from twitter following the examples from this page: https://www.earthdatascience.org/courses/use-data-open-source-python/intro-to-apis/twitter-data-in-python/ # -*- coding: cp852 -*- import sys sys.modules[__name__].__dict__.clear() import os import tweepy as tw import pandas as pd consumer_key = 'XXX' consumer_secret = 'YYY' access_token =…
ConnectionError: Error 104 while writing to socket. Connection reset by peer. Environment: ubuntu : 16.04 python : 3.6 PC total memory : 32G I have redis '3.0.6' installed. It succeeds when you try to insert 500,000 data, but fails when…
Let me first start by saying I have gone through and done my due diligence trying to find a solution based on questions previously asked on the web. I've run into an odd bug in my code that I really…
Ok, this is driving me crazy, I can't figure out what is going on with this which should be a very simple seaborn barplot. I have the following dataframe: Users Count App Name 0 224244 Facebook 1 202253 Messenger –…
I have a script that collects JSON data from Twitter's API. This script collects data and parses it with jq every minute. This data gets collected into a single file that ends up looking like the following: [ {"text": "Tweet…
I have a Dataframe containing transactions from an account and I need to categorize them and sum each category. I have 8 categories in total and can have 10+ keywords in each. I have found posts on this site that…
I have a Dataframe with urls. I have a blacklist with words to filter these urls. No I want to filter these urls until the third occurence of /. So for example: http://example.com/abc/def/ Here I would like to filter only…