To datoteko je treba posodobiti, ker: Add Kosovo Pri tem lahko datoteki dodate časovni žig. Prosimo, obvestite naložnika s kodo {{subst:update-note|1=File:Most popular edition of Wikipedia by country.svg|2=Add Kosovo}} ~~~~

Povzetek

To datoteko je morda treba posodobiti za uskladitev z novimi informacijami. Če želite uporabiti določeno različico te datoteke brez zrcaljenja novih posodobitev, naložite potrebno različico kot ločeno datoteko.

 

_?_ vključuje elemente, vzete ali prirejene iz datoteke:

 Countries with blue on their flags.svg (od RainbowSilver2ndBackup).

OpisMost popular edition of Wikipedia by country.svg	English: Most popular edition of Wikipedia by country in December 2022, based on pageviews data from the Wikimedia API. Code used to generate the data: https://github.com/a455bcd9/wikilangtrends See also May 2015 and July 2016 versions, and previous versions below. Only languages most used in at least four territories are shown:   ar - sodobna standardna arabščina (العربية)   de - nemščina (Deutsch)   en - angleščina (English)   es - španščina (español)   fr - francoščina (français)   pt - portugalščina (português)   ru - ruščina (русский)   zh - kitajščina (中文)   Other language or Unknown Greyed-out countries usually have their "national" language as the most popular Wikipedia, although there are exceptions. For instance, Afghanistan where the Farsi Wikipedia is the most popular (there is no Dari Wikipedia). Español: La edición más popular de Wikipedia por país en diciembre de 2022, según los datos de páginas vistas de la API de Wikimedia. Código utilizado para generar los datos: https://github.com/a455bcd9/wikilangtrends Consulte también las versiones de mayo de 2015 y julio de 2016, y las versiones anteriores a continuación.   ar - العربية   de - Deutsch   en - English   es - español   fr - français   pt - português   ru - русский   zh - 中文   Otro idioma Português: A edição mais popular da Wikipédia por país em dezembro de 2022, segundo os dados de visualizações das páginas da API da Wikimedia. Código utilizado para gerar os dados: https://github.com/a455bcd9/wikilangtrends Consulte também as versões de maio de 2015 e julho de 2016, e as versões anteriores.   ar - العربية (Árabe)   de - Deutsch (Alemão)   en - English (Inglês)   es - español (Espanhol)   fr - français (Francês)   pt - português (Português)   ru - русский (Russo)   zh - 中文 (Chinês)   Outro idioma
Vir	lastno delo
Avtor	A455bcd9
SVG razvoj InfoField	Izvorna koda te SVG-datoteke je veljavna.   Ta vektorska slika je bila ustvarjena z neznanim SVG orodjem.   Ta datoteka uporablja prevedljivo vdelano besedilo.

Licenca

Jaz, imetnik avtorskih pravic na tem delu, ga objavljam pod naslednjo licenco:

Datoteka je objavljena pod licenco Creative Commons Priznanje avtorstva-Deljenje pod enakimi pogoji 4.0 Mednarodno.

Dovoljeno vam je:

• deljenje – reproducirati, distribuirati in javno priobčevati delo
• predelava – predelati delo

Pod naslednjimi pogoji:

• priznanje avtorstva – Navesti morate ustrezno avtorstvo, povezavo do licence in morebitne spremembe. To lahko storite na kakršen koli primeren način, vendar ne na način, ki bi nakazoval, da dajalec licence podpira vas ali vašo uporabo dela.
• deljenje pod enakimi pogoji – Če boste to vsebino predelali, preoblikovali ali uporabili kot izhodišče za drugo delo, morate svoj prispevek distribuirati pod enako ali združljivo licenco, kot jo ima izvirnik.

https://creativecommons.org/licenses/by-sa/4.0CC BY-SA 4.0 Creative Commons Attribution-Share Alike 4.0 truetrue

How to update

• Using Jupyter Notebook, run this code until "Save to file" for the month of the version of this file. For instance, if this file was last updated in December 2022, set analyze_last_month = False and last_month = date(2022, 12, 1) in "Month to analyze". This will save the data from that month in a text file.
• Then, rerun the code from the beginning but this time with analyze_last_month = True to get the latest data from the previous month. So if you're in February 2023, you'll get data from January 2023. Run the code until "Save to file"
• Then run the "Compare 2 months" part and compare the two files you've just created. In our example it would be month_a = '2022-12' (December 2022 data) and month_b = '2023-01' (January 2023 data). This will output the differences between these two files using the following format: [[[:w:ISO 3166-1 alpha-2|ISO 3166-1 alpha-2 country code]]] [[[:w:ISO 639-1|ISO 639-1 language code of the most popular language in that country during month_a]]] ]ISO 639-1 language code of the most popular language in that country during month_a] [True if the most popular language changed, False otherwise]
• Download the SVG file from the current page
• Open the SVG file with Inkscape for editing (you can use some other svg editor)
• Inside Inkscape, click on a country where the most popular language changed ("Compare 2 months" output) and change its color.
• Save the file and upload to the current page as an update ("Upload a new version of this file" below)