![]() If your site has an infinite calendar, add aĪttribute to links to dynamically created future calendar pages. Whenever possible, shorten URLs by trimming unnecessary parameters.The same case so it is easier for Google to determine that URLs reference the same page. If upper and lower case text in a URL is treated the same by the web server, convert all text to Wherever possible, avoid the use of session IDs in URLs.Using regular expressions in your robots.txt file canĪllow you to easily block large numbers of URLs. Typically,Ĭonsider blocking dynamic URLs, such as URLs that generate search results, or URLs that canĬreate infinite spaces, such as calendars. Logically and in a manner that is most intelligible to humans.Ĭonsider using a robots.txt file to block Googlebot's access to problematic URLs. Consider organizing your content so that URLs are constructed To avoid potential problems with URL structure, we recommend the following:Ĭreate a simple URL structure. Frequently, this problem arises because of repeated path elements. Broken relative links can often cause infinite A dynamically generated calendar might generate links toįuture and previous dates with no restrictions on start or end dates. Irrelevant parameters in the URL, such as referral parameters.Sort the same items, resulting in a much greater number of URLs. Some large shopping sites provide multiple ways to Massive amounts of duplication and a greater number of URLs. Of counters, timestamps, or advertisements. Hotel properties at "value rates" on the beach and with a fitness center:.Hotel properties at "value rates" on the beach:.Which it can reach the page for each hotel. Lists of hotels is redundant, because Googlebot needs to see only a small number of lists from Creating a large number of slightly different Of URLs (views of data) in the sites explodes. In an additive manner (for example: hotels on the beach and with a fitness center), the number The same set of items or search results, often allowing the user to filter this set usingĭefined criteria (for example: show me hotels on the beach). Unnecessarily high numbers of URLs can be caused by a number of issues. Or may be unable to completely index all the content on your site. As a result, Googlebot may consume much more bandwidth than necessary, Overly complex URLs, especially those containing multiple parameters, can cause problemsįor crawlers by creating unnecessarily high numbers of URLs that point to identical or similarĬontent on your site. Not recommended: Words in the URL joined together: Common issues related to URLs Instead of underscores ( _) in your URLs. Identify concepts in the URL more easily. ![]() Recommended: Country-specific subdirectory with gTLD: /de/Ĭonsider using hyphens to separate words in your URLs, as it helps users and search engines For more examples of how you can structure your URLs, refer to If your site is multi-regional, consider using a URL structure that makes it easy to geotarget Not recommended: Unreadable, long ID numbers in the URL: Not recommended: Using non-ASCII characters in the URL: نعناع 杂货/薄荷 gemüse □✨ The following example uses UTF-8 encoding for emojis in the URL: The following example uses UTF-8 encoding for the umlaut in the URL: The following example uses UTF-8 encoding for Chinese characters in the URL: Recommended: Localized words in the URL, if applicable. Recommended: Simple, descriptive words in the URL: When possible, use readable words rather than long ID numbers in your URLs. casefold() in string matching and converting to lowercase.Unreserved ASCII characters may be left in the non-encoded form. Since it isĪlready lowercase, lower() would do nothing to 'ß' casefold()Ĭompare the output of lower for, s = pd.Series()Īlso see lower() vs. ![]() The German lowercase letter 'ß' is equivalent to "ss". Is intended to remove all case distinctions in a string. Taking the example in the python str.casefold docs,Ĭasefolding is similar to lowercasing but more aggressive because it It also handles NaNs gracefully (just as str.lower does). Starting from v0.25, I recommend using the "vectorized" string method str.casefold if you're dealing with unicode data (it works regardless of string or unicodes): s = pd.Series()Ĭasefold lends itself to more aggressive case-folding comparison. Pandas >= 0.25: Remove Case Distinctions with str.casefold
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