Category : data-extraction

import requests url = ‘https://www.kickstarter.com/graph’ headers = {‘authority’:’www.kickstarter.com’, ‘method’:’POST’, ‘path’:’/graph’, ‘scheme’:’https’, ‘accept’:’*/*’, ‘accept-encoding’:’gzip, deflate, br’, ‘accept-language’:’en-US,en;q=0.9′, ‘content-length’:’606′, ‘content-type’:’application/json’, ‘cookie’:"vis=f5761fb0e1994852-b38b5b3d46161036-c3a4a56c5add1076v1; lang=en; woe_id=YzFrZ1NUV1lRTUhMT2tsc1ZURHVsQT09LS12L0pidVVCeDBHZU16dk81MmVpeTNBPT0%3D–468e7c1e5daf8c17cdd902b0a1cb1ef4e2856543; optimizely_current_variations=%7B%7D; _pxhd=75f70796791b6f8a5930b19c70bcd30d268fe4a4f1644460c7c7bbe65d5e8196:837ba981-9d56-11eb-841e-e7065f1f0101; _pxvid=837ba981-9d56-11eb-841e-e7065f1f0101; ajs_anonymous_id=%22f5761fb0e1994852-b38b5b3d46161036-c3a4a56c5add1076v1%22; _ga=GA1.2.17378398.1618428050; _gid=GA1.2.1258279558.1618428050; __ssid=3d59a55ffedce2904d3464e3a555309; em_cdn_uid=t%3D1618428051657%26u%3D8d620439ed7740b89c98770bbaee8b05; __stripe_mid=e4e89c20-83c7-4ba0-907b-7b83f8b24051e87f22; em_p_uid=l:1618428053354|t:1618428053353|u:c814f9e5a157438b910a57075a7fe320; __stripe_sid=eaa7f9e2-2ba2-45db-8213-c79be847d1100aa907; ajs_anonymous_id=%22f5761fb0e1994852-b38b5b3d46161036-c3a4a56c5add1076v1%22; last_page=https%3A%2F%2Fwww.kickstarter.com%2Fprojects%2F1202256831%2Flumicube-an-led-cube-kit-for-the-raspberry-pi%3Fref%3D404-ksr10; local_offset=-2528; _gat_creatorAnalytics=1; _gat=1; _px2=eyJ1IjoiNmMwYTZiODAtOWRkMS0xMWViLTkyNzItOWRkZDk3Y2VlODdkIiwidiI6IjgzN2JhOTgxLTlkNTYtMTFlYi04NDFlLWU3MDY1ZjFmMDEwMSIsInQiOjE2MTg0ODExMzU4NzksImgiOiJhZWM4ZDc0MjgwM2IzZGFlY2JiZWNkZjYxNjc0Yjg4MWY5YWRhNTVkOTRiNDk5NjhmNzdmZWZjMzUzMmZkMDRiIn0=; _ksr_session=NEVzc0R3N0tIZHNsVlBoVzNQQ3haUXBCeC9jaWY4MExzbjNnNzZ0V3ZTTE1BcE1hcC94eFZVSTVUdXc4anJLRVJ3Zk81MVByNDVhdEhyaW9lZHNGa1l1OGdDTjhZN0FvUjd3Z1ZZRW8vb2x2ZGhsTm1Bb2N5TnV6TklEOFV5YzFBYzg5VHUzS3VPakpDT3pVQlgvY21RPT0tLXIzcFlXVFFsbG9Gc3JJRS9IU3VEdlE9PQ%3D%3D–1d66e41aef503bec8ea9d964160d776cee928583; request_time=Thu%2C+15+Apr+2021+10%3A00%3A53+-0000", ‘origin’:’https://www.kickstarter.com’, ‘referer’:’https://www.kickstarter.com/projects/818583073/dies-irae-day-of-wrath-rated-r/description’, ‘User-Agent’:’Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.114 Safari/537.36′, ‘x-csrf-token’:’KFhfbaWae3u6BzTKoYZDw65CrYUk1NMQnI4zVruvfKspDvFRlIjlFY/HESrLol2iGX/+W1Yqww40nFqfgBdL7Q==’ ..

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I need help using xarray. I have a list of points (longitudes, latitudes and dates) for which I need to extract weather data. So far, I have weather_by_loc_time = pd.DataFrame([]) for i,j in zip(latitude,longitude): dsloc = ds.sel(latitude=i,longitude=j, method=’nearest’) dot = dsloc.to_dataframe() weather_by_loc_time = weather_by_loc_time.append(dot) which gives me data for the entire time series. If I ..

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New coder here who needs help with a web scrapping project, could use some help and/or direction. What’s it do and how does it work?: The trading system of World of Warcraft is known as the Auction House. This system lets every person in the game trade items between each other without having to meet ..

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I need to extract values from a column in a dataframe based on the values of another column which I have extracted in a list. import pandas as pd data = [[1, ‘john’, ‘kelly’], [2, ‘john’, ‘raj’], [2, ‘john’, ‘leonard’], [3, ‘penny’, ‘stuart’], [3, ‘penny’, ‘halley’], [3, ‘penny’, ‘amy’], [4, ‘sheldon’, ‘will’], [4, ‘sheldon’, ‘richard’]] ..

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There is this URL https://www.jpx.co.jp/english/listing/stocks/new/index.html#3422 I wrote(copy&paste from internet!) the following code to save all the pdfs which are inside the table in a folder from PyPDF2 import PdfFileReader import requests from bs4 import BeautifulSoup import io import urllib.request as req import urllib import os import time from urllib.parse import urljoin url = ‘https://www.jpx.co.jp/english/listing/stocks/new/index.html’ headers ..

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