After looping through all the rows of the CSV file, we close the tag of each strings.xml file.We write each string to the corresponding strings.xml file in the format string_value, where string_name is the value of the first column of the CSV file, and string_value is the value of the corresponding language column. We then loop through each row of the CSV file and extract the value of the string for each language code.(You can skip this if you don’t need header and resource tags) For each language code, we create a new strings.xml file and write the XML header and opening tag.The language codes are the names of the language columns, such as en for English or kn for Kannada and so on. We first need to read the CSV file and extract the language codes from the header row.Solutionĭigging into the solution directly, We can use Python to convert a CSV file with strings to multiple strings.xml files based on language columns In this article, we'll explore how to convert a CSV file with strings to multiple strings.xml files based on language columns. Android provides a way to manage these resources using the strings.xml file, which is an XML file that contains a set of string resources for a specific locale. If your app supports multiple languages, you need to provide language-specific resources for each supported language. Localization is a crucial aspect of developing a mobile app that caters to a wide audience. Let's have a little introduction if you are new here.
POV: you found a way to convert CSV back to XML Introduction
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