wikipedia

问题 I'd like to obtain a list of all the titles of all Wikipedia articles. I know there are two possible ways to get content from a Wikimedia powered wiki. One would be the API and the other one would be a database dump. I'd prefer not to download the wiki dump. First, it's huge, and second, I'm not really experienced with querying databases. The problem with the API on the other hand is that I couldn't figure out a way to only retrieve a list of the article titles and even if it would need > 4

问题 Using the sparql query below, I successfully got some of soccer players informations, then I tried to retrieve wikipedia page-id with wikidata Item-id, but it returns an error (java.util.concurrent.TimeoutException): PREFIX wd: <http://www.wikidata.org/entity/> PREFIX owl: <http://www.w3.org/2002/07/owl#> PREFIX dbo: <http://dbpedia.org/ontology/> SELECT ?Wikidata_id ?SoccerPlayerLabel ?Team ?TeamLabel ?numMatches ?numGoals ?startTime ?article ?wikipedia_id WHERE { ?Wikidata_id wdt:P106 wd

问题 This question already has answers here : Importing bs4 in Python 3.5 (3 answers) Closed 4 years ago . I installed the 'wikipedia' module on my Windows 7 machine with pip install wikipedia , but when I run this simple script: import wikipedia print (wikipedia.summary("Wikipedia")) I get an error that says ImportError: cannot import name 'HTMLParseError' . I'm using Python version 3.5 and the latest version of the wikipedia module. Is there another library that will give me this function? 回答1:

问题 This question already has answers here : Importing bs4 in Python 3.5 (3 answers) Closed 4 years ago . I installed the 'wikipedia' module on my Windows 7 machine with pip install wikipedia , but when I run this simple script: import wikipedia print (wikipedia.summary("Wikipedia")) I get an error that says ImportError: cannot import name 'HTMLParseError' . I'm using Python version 3.5 and the latest version of the wikipedia module. Is there another library that will give me this function? 回答1:

问题 I am looking to create a function that goes through the xml file article and then, for each article: if it contains the keywords, moral or ethic (wildcard search): move it to another folder else: ignore I have tried a few things and had a look round but really struggling (not even sure if you can do wildcard searching) as I have only just started using Python, any help would be much appreciated. Here is an example of the xml code below... <page> <title>Anarchism</title> <ns>0</ns> <id>12</id>

问题 I'm using java and I want to read piped links from Wikipedia that has a specific surface form. Fir example in this form [America|US] the surface form is "US" and the internal link is "America". The straightforward solution is to read the xml dump of Wikipedia and find the strings that matches the regular expression for a piped link. However I am afraid that I wouldn't cover all the possible regular expressions of a piped link. I searched and I couldn't find any library that specifically give

问题 I'm just trying to scrape data from a wikipedia table into a panda dataframe. I need to reproduce the three columns: "Postcode, Borough, Neighbourhood". import requests website_url = requests.get('https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M').text from bs4 import BeautifulSoup soup = BeautifulSoup(website_url,'xml') print(soup.prettify()) My_table = soup.find('table',{'class':'wikitable sortable'}) My_table links = My_table.findAll('a') links Neighbourhood = [] for link in

问题 I'm just trying to scrape data from a wikipedia table into a panda dataframe. I need to reproduce the three columns: "Postcode, Borough, Neighbourhood". import requests website_url = requests.get('https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M').text from bs4 import BeautifulSoup soup = BeautifulSoup(website_url,'xml') print(soup.prettify()) My_table = soup.find('table',{'class':'wikitable sortable'}) My_table links = My_table.findAll('a') links Neighbourhood = [] for link in

问题 Some of the html on wikipedia disambiguation pages is, shall we say, ambiguous, i.e. the links there that connect to specific persons named Corzine are difficult to capture using jsoup because they're not explicitly structured, nor do they live in a particular section as in this example. See the page Corzine page here. How can I get a hold of them? Is jsoup a suitable tool for this task? Perhaps I should use regex, but I fear doing that because I want it to be generalizable. </b> may refer to

问题 Is it possible to fetch information from Wikipedia API by movies category? e.g I've a url which search avatar but I don't know how to search avatar movie. https://en.wikipedia.org/w/api.php?&titles=avatar&format=xml&action=query&prop=extracts|categories|categoryinfo|pageterms|pageprops|pageimages&exintro=&explaintext=&cllimit=max&piprop=original 回答1: It will not be easy by "movies category" because there are a lot of nested categories, but you can use something else - all articles about movie