Remove prefixes

Doesn't add a value. To add the new IP address prefix to the NAT gateway, you must also include any other IP prefixes associated to the NAT gateway.az network nat gateway update \ --name nat-gateway \ --resource-group test-rg \ --public-ip-prefixes public-ip-prefix-nat public-ip-prefix-nat2Remove public IP prefixUse az network nat gateway update to remove a public IP prefix from the NAT gateway. The Azure CLI command replaces the values. It doesn't remove a value. To remove a public IP prefix, include any prefix in the command that you wish to keep. Omit the one you want to remove. For example, you have a NAT gateway configured with two public IP prefixes. You want to remove one of the prefixes. The IP prefixes associated with the NAT gateway are named public-ip-prefix-nat and public-ip-prefix-nat2. To remove public-ip-prefix-nat2, omit the name of the IP prefix from the command. The command reapplies the IP prefixes listed in the command to the NAT gateway. It removes any IP address not listed.az network nat gateway update \ --name nat-gateway \ --resource-group test-rg \ --public-ip-prefixes public-ip-prefix-natUse the Azure portal, Azure PowerShell, or Azure CLI to add or remove a public IP prefix from a NAT gateway.Next stepsTo learn more about Azure Virtual Network NAT and its capabilities, see the following articles:What is Azure NAT Gateway?NAT gateway and availability zonesDesign virtual networks with NAT gateway --> Feedback Additional resources In this article

This example, we first check if the name starts with the "Mrs. " prefix using the startswith() method. If it does, we slice the string to remove the prefix. Otherwise, we keep the original string unchanged.Read How to Sort a String in Python?Remove Multiple PrefixesIn real-world scenarios, you might encounter strings with different prefixes. To handle such cases, you can create a list of prefixes and iterate over them to remove any matching prefix from the string.Example:name = "Mr. Michael Smith"prefixes = ["Mr. ", "Mrs. ", "Ms. ", "Dr. "]for prefix in prefixes: if name.startswith(prefix): cleaned_name = name[len(prefix):] breakelse: cleaned_name = nameprint(cleaned_name) # Output: "Michael Smith"In this example, we have a list of common prefixes in the prefixes list. We iterate over each prefix and check if the name starts with it using the startswith() method. If a matching prefix is found, we remove it using slicing and break out of the loop. If no prefix is found, the original string is kept as is.Read How to Extract a Substring Between Two Characters in Python?ConclusionIn this tutorial, I have explained how to remove prefixes from strings in Python. I discussed the removeprefix() method, string slicing, conditional slicing, and how to remove multiple prefixes.You may also like to read:How to Fix Unterminated String Literals in Python?How to Use Python Triple Quotes with F-Strings for Multiline Strings?How to Do Case-Insensitive String Comparisons in Python?I am Bijay Kumar, a Microsoft MVP in SharePoint. Apart from SharePoint, I started working on Python, Machine learning, and artificial intelligence for the last 5 years. During this time I got expertise in various Python libraries also like Tkinter, Pandas, NumPy, Turtle, Django, Matplotlib, Tensorflow, Scipy, Scikit-Learn, etc… for various clients in the United States, Canada, the United Kingdom, Australia, New Zealand, etc. Check out my profile.

Reapplies the IP addresses listed in the command to the NAT gateway. It removes any IP address not listed.az network nat gateway update \ --name nat-gateway \ --resource-group test-rg \ --public-ip-addresses public-ip-natUse the Azure portal, Azure PowerShell, or Azure CLI to add or remove a public IP address from a NAT gateway.Add or remove a public IP prefixComplete the following steps to add or remove a public IP prefix from a NAT gateway.Azure portalAzure PowerShellAzure CLIBicepSign in to the Azure portal.In the search box at the top of the Azure portal, enter Public IP prefix. Select Public IP Prefixes in the search results.Select Create.Enter the following information in the Basics tab of Create a public IP prefix.SettingValueProject detailsSubscriptionSelect your subscription.Resource groupSelect your resource group. This example uses test-rg.Instance detailsNameEnter public-ip-prefix-nat.RegionSelect your region. This example uses East US 2.IP versionSelect IPv4.Prefix ownershipSelect Microsoft owned.Prefix sizeSelect a prefix size. This example uses /28 (16 addresses).Select Review + create, then select Create.In the search box at the top of the Azure portal, enter NAT gateway. Select NAT gateways in the search results.Select nat-gateway.Under Settings, select Outbound IP.The page displays the IP addresses and prefixes associated with the NAT gateway. Next to Public IP prefixes, select Change.Next to Public IP Prefixes, select the dropdown box. Select the IP address prefix that you created to add the prefix to the NAT gateway. To remove a prefix, unselect it.Select OK.Select Save.Add public IP prefixTo add a public IP prefix to the NAT gateway, add it to

Dealing with prefixes in Excel can feel like trying to untangle a knot—sometimes it's straightforward, but other times it's a bit more complex. Whether you're working with customer IDs, product codes, or any series of data entries that have been tagged with an unwanted prefix, knowing how to effectively remove these prefixes can save you heaps of time and frustration. In this article, we're going to unravel the mystery of removing prefixes in Excel. We'll walk through various methods, from using basic functions to employing more advanced techniques with Power Query. By the end, you'll have a toolkit of strategies to tackle those pesky prefixes with confidence. The Basics of Prefix RemovalLet's start with the basics. Removing prefixes is often a simple task, especially if you're working with a consistent pattern. Excel offers several ways to handle this, each with its pros and cons. Understanding these can help you decide which method suits your situation best. First, consider using the Find and Replace feature. It's like using a magic eraser—quick and efficient. Here's how you can use it: Press Ctrl + H to open the Find and Replace dialog. In the "Find what" field, enter the prefix you want to remove. Leave the "Replace with" field blank. Click "Replace All."This method works wonders for simple, consistent prefixes. However, if your prefixes vary or are part of more complex data strings, you might need a different approach.Using Excel FunctionsExcel's functions are like having a Swiss Army knife—they're versatile and can handle different data manipulation tasks, including prefix removal. Two functions stand out for this task: LEFT and RIGHT. Suppose you have a column of data with a consistent prefix length, say three characters. You can use the RIGHT function to strip these off:=RIGHT(A1, LEN(A1) - 3)This formula keeps everything except the first three characters. It's simple and effective, but what if the prefix length varies?Enter the REPLACE function, which can tackle variable prefixes. Here's a quick formula:=REPLACE(A1, 1, FIND("-", A1), "")This formula looks for a delimiter (like a dash) and removes everything up to that point. It's a bit more flexible

In this tutorial, I will explain how to remove prefixes from strings in Python. As a Python developer based in the USA, in one of my projects for Chicago clients, I encountered a situation where I needed to remove prefixes from strings in Python. After researching different methods, I found several effective solutions that I will share with you in this article. I will share my findings and provide detailed examples.Remove Prefixes from Strings in Python1. Use the removeprefix() Method2. Use String Slicing3. Use Conditional SlicingRemove Multiple PrefixesConclusionPython provides several ways to remove prefixes from strings in Python.Read How to Convert a String to a Timestamp in Python?1. Use the removeprefix() MethodStarting from Python 3.9, a dedicated removeprefix() method is available for strings. It removes the specified prefix and returns the rest of the string. If the prefix is not found, it returns the original string unchanged.Example:name = "Mr. John Doe"cleaned_name = name.removeprefix("Mr. ")print(cleaned_name) Output:John DoeI have executed the above example code and added the screenshot below.In this example, "Mr. " is removed from the name string using the removeprefix() method, resulting in "John Doe".Read How to Return a String in Python?2. Use String SlicingIf you are using a Python version lower than 3.9, you can achieve the same result using string slicing. This method involves finding the length of the prefix and slicing the string from that index onwards.Example:name = "Dr. Emily Johnson"prefix = "Dr. "cleaned_name = name[len(prefix):]print(cleaned_name) Output:Emily JohnsonI have executed the above example code and added the screenshot below.Here, we calculate the length of the "Dr. " prefix using len() and slice the name string starting from that index to remove the prefix.Read How to Use a Raw Strings in Python?3. Use Conditional SlicingAnother approach is to check if the string starts with the prefix using the startswith() method and then slice the string accordingly. This method is useful when you are unsure if the prefix exists in the string.Example:name = "Mrs. Olivia Brown"prefix = "Mrs. "if name.startswith(prefix): cleaned_name = name[len(prefix):]else: cleaned_name = nameprint(cleaned_name) Output:Olivia BrownI have executed the above example code and added the screenshot below.In

"SAMPLE" ) @ListBeanModel public String inputFieldName = ""; @ConfigDef( required = true, type = ConfigDef.Type.STRING, label = "Output Field Name", description = "Field for the credit card type", displayPosition = 20, group = "SAMPLE" ) @ListBeanModel public String outputFieldName = ""; @ConfigDef( required = true, type = ConfigDef.Type.MODEL, label = "Card Prefixes", displayPosition = 30, group = "SAMPLE" ) @ListBeanModel public List cardTypes = new ArrayList();}The configuration bean contains one property for the incoming credit card number field name, a second for the outgoing credit card type field name, and a third for the list of card prefix mappings.Create a second file in the same directory, CardPrefixes.java:package com.example.processor.sample.config;import com.streamsets.pipeline.api.ConfigDef;import java.io.Serializable;public class CardPrefixes implements Serializable { public CardPrefixes() { } public CardPrefixes(String type, String prefixes) { this.type = type; this.prefixes = prefixes; } @ConfigDef( required = true, type = ConfigDef.Type.STRING, label = "Credit Card Type", description = "For example: Mastercard", group = "SAMPLE", displayPosition = 10 ) public String type; public String getType() { return type; } public void setType(String type) { this.type = type; } @ConfigDef( required = true, type = ConfigDef.Type.STRING, label = "List of Prefixes", description = "Comma-separated list of prefixes. For example: 51,52,53", group = "SAMPLE", displayPosition = 20 ) public String prefixes; public String getPrefixes() { return prefixes; } public void setPrefixes(String prefixes) { this.prefixes = prefixes; }}This class represents a single mapping from a credit card type to its list of prefixes.We're almost done! We don't need to write any code to implement the configuration UI, since Transformer does that for us. All we need to do it to modify the relevant Java and Scala classes to pass the configuration across.In SampleDProcessor.java, change the line that returns the new SampleProcessor instance to:return new SampleProcessor(conf.inputFieldName, conf.outputFieldName, conf.cardTypes);Now, in SampleProcessor.scala, add the following import:import com.example.processor.sample.config.CardPrefixesThen, change the first line of the class definition to:class SampleProcessor(val inputFieldName: String, val outputFieldName: String, val ccTypes: java.util.List[CardPrefixes] ) extends SingleInputSparkTransform {Remove the ccTypes List (leaving the ccTypeDF DataFrame!) and change the createDataFrame() call in the init() method to:// Make a DataFrame suitable for joining with the input dataccTypeDF = sparkSession.createDataFrame(ccTypes, classOf[CardPrefixes]) .withColumn("prefix", explode(split($"prefixes",","))) .drop("prefixes")All we're doing here is accepting the configured credit card type/prefix mappings in place of the hardcoded list, and tweaking the DataFrame creation to match.The SampleProcessor.scala file should now look like this.Since ccTypeDF still has the same layout, we don't need to modify the transform() method at all. Repeat the build, copy, restart process but, before you preview the pipeline, click the Sample Processor, and select the Sample tab in the configuration panel.Set Input Field Name to credit_cardSet Output Field Name to credit_card_typeUnder Card Prefixes, click Switch to bulk edit mode then replace the contents with the following