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4 min readTo change the legend name in Grafana using regex, you can use the "legend format" option in the visualization settings. By applying a regular expression pattern to the legend format field, you can extract specific parts of the metric name or tag values and display them in the legend. This allows you to customize the legend name based on the data being visualized, making it more informative and easier to understand for users.
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4 min readTo ignore white space in a string using regex, you can use the regex pattern \s+ to match one or more whitespace characters and then replace them with an empty string. This can be done in various programming languages like Python, Java, JavaScript, etc. By using this method, you can effectively remove all white space from the string and obtain the desired output without any extra spaces.[rating:f57ed76a-ab98-4054-8d2c-1baca0521009]What is regex.
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3 min readTo match '&' symbols which are inside brackets using regex, you can use the following pattern:/\((.*?)&+(.*?)\)/This pattern will match any '&' symbols that are enclosed within brackets. The '(' and ')' matches the opening and closing brackets, '(.?)' matches any characters inside the brackets (non-greedy), '&' matches the ampersand symbol, and '(.?)' matches any characters after the ampersand symbol.
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3 min readNormalizing text with regex involves using regular expressions to find and replace specific patterns or sequences of characters in a text. This can be helpful for tasks such as removing extra whitespace, converting all letters to lowercase, or standardizing formatting.For example, you can use regex to replace all non-alphanumeric characters (such as punctuation marks) with spaces, or to remove leading and trailing whitespace.
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3 min readBackreferencing a group when using "or" in regex can be done by using the pipe symbol "|" to separate the different options within the group. This allows you to reference the matched group later in the regex pattern. For example, if you have a regex pattern like "(apple|orange)", you can backreference the matched group by using \1 in your regex pattern. This will allow you to reuse the matched group in your regex pattern.
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4 min readTo extract specific information from a URL using regex, you first need to identify the pattern or format of the information you want to extract. Once you have a clear idea of the pattern, you can create a regular expression (regex) that matches that pattern.For example, if you want to extract all the words that come after a specific word or character in a URL, you can use a regex pattern that looks for that word or character followed by a certain number of alphanumeric characters.
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4 min readTo extract specific digits from a pandas column using regex, you can use the str.extract() function in pandas with a regular expression pattern that matches the desired digits. The regular expression pattern should include capturing groups () around the digits you want to extract. This will allow you to retrieve the specific digits from the column and create a new column or variable with just the extracted numbers.
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8 min readTo get the result of finding a string with regex, you need to use a programming language or tool that supports regular expressions. First, you need to define a regex pattern that matches the string you are looking for. Then, you can use functions or methods provided by the language or tool to search for the pattern within a given text or dataset. Once the regex search is performed, you can retrieve the matched string or strings as the result of the operation.
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5 min readTo match with the character "" but not with the sequence "/" in a regular expression (regex), you can use a negative lookbehind assertion. This allows you to specify a pattern that should not precede the character you are trying to match.One way to achieve this is by using the following regex pattern: (?<!/)\* In this pattern, the expression (?<.
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3 min readTo remove the dot from an email address before the @ symbol using regex, you can use the following pattern:/.+(?=[^@]*@)/gThis regex pattern matches any dot that occurs before the @ symbol in an email address. You can use this pattern in your programming language of choice to find and remove the dots from email addresses before the @ symbol.[rating:e7785e8d-0eb6-465d-af44-34e83936708a]What is the significance of extracting top-level domain from email addresses using regex.
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5 min readTo replace a string using regex in JavaScript, you can use the replace() method. This method takes two parameters: the regex pattern to search for and the replacement string.Here's an example: let str = "Hello, world!"; let newStr = str.replace(/hello/i, "Hi"); console.log(newStr); // Output: "Hi, world!" In this example, we're replacing the word "Hello" with "Hi" using a case-insensitive regex pattern.