csv xml assignment converter 22.2.2

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This online tool allows you to convert a CSV file into a XML file. Define a valid XML template using placeholders in the format ##POSITION## to substitute the value of the CSV file within the XML snippet. ##1## is the first value, ##2## the second value and so on.

Your template should NOT include a XML document declaration! Remember that the XML template you provide is applied to each line and isn't a document construct. You can always change the wrapping document element afterwards.

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Convert an XML file to CSV file using java

I need help understanding the steps involved in converting an XML file into a CSV file using java. Here is an example of an XML file

and here is the resulting CSV file.

I was thinking of using a DOM parser to read the xml file. The problem I have with that is I would need to specify specific elements in to code by name, but I want it to be able to parse it without doing that.

Are there any tools or libraries in java that would be able to help me achieve this.

If I have a XML file of this format below and want to add the value of the InitgPty in the same row with MSgId (Pls note :InitgPty is in the next tag level, so it prints the value in the next row)

6 Answers 6

here's a working example, data.xml has your data:

• I tried to work around this code to build only one csv, but couldnt. Any hints on how I can do that? I have more than a 100 XML files which I need to convert to a single csv file. –  user3270763 Commented Feb 13, 2017 at 22:29
• I tried this but i am getting name of cloumns only...What should i change? –  ZIA ANSARI Commented Nov 11, 2018 at 10:08
• so the style.xsl file, if you don't have it, will you need to create it manually? What happen if you don't want the headers in your CSV? How that could be done? –  IoT user Commented Mar 9, 2020 at 10:55
• @iot-user, Editing the style.xsl should get you what you want. Remove the header line in it. –  codester Commented Sep 16, 2020 at 15:20
• How to fetch sub-nodes data to csv Example: <m:properties xmlns:m=" schemas.microsoft.com/ado/2007/08/dataservices/metadata "> <d:ContentTypeID>0z342bvff</d:ContentTypeID> <d:Name>world_catalon</d:Name> <d:Title>Catalon</d:Title> –  Nagarjuna Yalamanchili Commented Feb 5, 2021 at 9:29

Your best best is to use XSLT to "transform" the XML to CSV. There are some Q/As on so (like here ) that cover how to do this. The key is to provide a schema for your source data so the XSLT transform process knows how to read it so it can properly format the results.

Then you can use Xalan to input the XML, read the XSLT and output your results.

• This is how I would do it I think. –  djangofan Commented Jan 28, 2014 at 19:01

Three steps:

• Parse the XML file into a java XML library object.
• Retrieve relevant data from the object for each row.
• Write the results to a text file using native java functions , saving with *.csv extension.

The answer has already been provided by Pedantic (using the DOM-like approach {Document Object Model}) and Jono (with the SAX-like approach this time) in January.

My opinion is that both methods work well for small files but the latter works better with big XML files. You didn't mention the actual size of your XML files but you should take this into account.

Whatever method is used a specific program (which would detect special tags tailored to your local XML) will be easier to write but won't work without code adaptations for another XML flavor, while a more generic program will be harder to devise but will work for all XML files. You said you wanted to be able to parse a file without specifying specific element names so I guess the generic approach is what you prefer, and I agree with that, but please note that it's easier said than done. Indeed, I had the same problem on january too, implying this time a big XML file (>>100Mo) and I was surprised that nothing was available over the Internet so far. Turning frustration into something better is always a good thing so I decided to deal with that specific problem in the most generic way by myself, with a special concern for the big-XML-file-issue .

You might be interested to know that the generic Java library I wrote, which is now published as free software, converted your XML file into CSV the way you expected (in -x -u mode {please refer to the documentation for further information}).

So the answer to the last part of your question is: yes, there is at least one library which will help you achieve your goal, mine, which is named "XML2CSV-Generic-Converter". There might be other ones of course, and better ones certainly, but I couldn't pick any decent (free) one by myself.

I won't provide any link here to comply with Peter Foti 's judicious remark - but if you key "XML2CSV-Generic-Converter" in your favorite search engine you should find it easily.

your file looks really flat and simple. You don't necessarily need an XML parser to convert it. Just parse it with LineNumberReader.readLine() and use regexp to extract specific fields.

Another option is to use StAX , a streaming API for XML processing. It's pretty simple and you don't need to load the whole document in RAM.

http://beanio.org/2.1/docs/reference/index.html#Records This is one of the Quick and robust solution.

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CSV to XML Converter

What is a csv to xml converter, csv to xml converter examples.

Convert an XML File to CSV File

Last updated: January 8, 2024

• Apache Commons CSV
• XML Conversion

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1. Overview

In this article, we will explore various methods to turn XML files into CSV format using Java .

XML (Extensible Markup Language) and CSV (Comma-Separated Values) are both popular choices for data exchange. While XML is a powerful option that allows for a structured, layered approach to complicated data sets, CSV is more straightforward and designed primarily for tabular data.  

Sometimes, there might be situations where we need to convert an XML to a CSV to make data import or analysis easier.

2. Introduction to XML Data Layout

Imagine we run a bunch of bookstores, and we’ve stored our inventory data in an XML format similar to the example below:

This XML organizes attributes ‘id’ and ‘category’ and text elements ‘Title,’ ‘Author,’ and ‘Price’ neatly in a hierarchy. Ensuring a well-structured XML simplifies the conversion process, making it more straightforward and error-free.

The goal is to convert this data into a CSV format for easier handling in tabular form. To illustrate, let’s take a look at how the bookstores from our XML data would be represented in the CSV format:

Moving forward, we’ll discuss the methods to achieve this conversion.

3. Converting using XSLT

3.1. introduction to xslt.

XSLT (Extensible Stylesheet Language Transformations) is a tool that changes XML files into various other formats like HTML, plain text, or even CSV.

It operates by following rules set in a special stylesheet, usually an XSL file. This becomes especially useful when we aim to convert XML to CSV for easier use.

3.2. XSLT Conversion Process

To get started, we’ll need to create an XSLT stylesheet that uses XPath to navigate the XML tree structure and specifies how to convert the XML elements into CSV rows and columns.

Below is an example of such an XSLT file:

This stylesheet first matches the root element and then examines each ‘Bookstore’ node, gathering its attributes and child elements. Like the book’s id , category , and so on, into variables. These variables are then used to build out each row in the CSV file. CSV will have columns for bookstore ID, book ID, category, title, author ID, author name, and price.

The <xsl:template> sets transformation rules. It targets the XML root with <xsl:template match=”/”> and then defines the CSV header.

The instruction <xsl:for-each select=”//Bookstore”> processes each ‘Bookstore’ node and captures its attributes. Another inner instruction, <xsl:for-each select=”./Books/Book”> , processes each ‘ Book ‘ within the current ‘ Bookstore ‘.

The concat() function combines these values into a CSV row.

The adds a line feed (LF) character, corresponding to the ASCII value of 0xA in hexadecimal notation.

Here’s how we can use the Java-based XSLT processor:

We use TransformerFactory to compile our XSLT stylesheet. Then, we create a Transformer object, which takes care of applying this stylesheet to our XML data, turning it into a CSV file. Once the code runs successfully, a new file will appear in the specified directory.

Using XSLT for XML to CSV conversion is highly convenient and flexible, offering a standardized and powerful approach for most use cases, but it requires loading the whole XML file into memory. This can be a drawback for large files. While it’s perfect for medium-sized data sets, if we have a larger dataset, you might want to consider using StAX, which we’ll get into next.

4. Using StAX

4.1. introduction to stax.

StAX (Streaming API for XML) is designed to read and write XML files in a more memory-efficient way. It allows us to process XML documents on the fly, making it ideal for handling large files.

Converting using StAX involves three main steps.

• Initialize the StAX Parser
• Reading XML Elements
• Writing to CSV

4.2. StAX Conversion Process

Here’s a full example, encapsulated in a method named convertXml2CsvStax() :

To begin, we initialize the StAX parser by creating an instance of XMLInputFactory . We then use this factory object to generate an XMLStreamReader :

We use the XMLStreamReader to iterate through the XML file, and based on the event type, such as START_ELEMENT, CHARACTERS, and END_ELEMENT , we build our CSV rows.

As we read the XML data, we build up CSV rows and write them to the output file using a BufferedWriter .

So, in a nutshell, StAX offers a memory-efficient solution that’s well-suited for processing large or real-time XML files. While it may require more manual effort and lacks some of the transformation features of XSLT, it excels in specific scenarios where resource utilization is a concern. With the foundational knowledge and example provided, we are now prepared to use StAX for our XML to CSV conversion needs when those specific conditions apply.

5. Additional Methods

We’ve primarily focused on XSLT and StAX as XML to CSV conversion methods. However, other options like DOM (Document Object Model) parsers, SAX (Simple API for XML) parsers, and Apache Commons CSV also exist.

Yet, there are some factors to consider. DOM parsers are great for loading the whole XML file into memory, giving you the flexibility to traverse and manipulate the XML tree freely. On the other hand, they do make you work a bit harder when you need to transform that XML data into CSV format.

When it comes to SAX parsers, they are more memory-efficient but can present challenges for complex manipulations. Their event-driven nature requires you to manage the state manually, and they offer no option for looking ahead or behind in the XML document, making certain transformations cumbersome.

Apache Commons CSV shines when writing CSV files but expects you to handle the XML parsing part yourself.

In summary, while each alternative has its own advantages, for this example, XSLT and StAX provide a more balanced solution for most XML to CSV conversion tasks.

6. Best Practices

To convert XML to CSV, several factors, such as data integrity, performance, and error handling, need to be considered. Validating the XML against its schema is crucial for confirming the data structure. In addition, proper mapping of XML elements to CSV columns is a fundamental step.

For large files, using streaming techniques like StAX can be advantageous for memory efficiency. Also, consider breaking down large files into smaller batches for easier processing.

It’s important to mention that the code examples provided may not handle special characters found in XML data, including but not limited to commas, newlines, and double quotes. For example, a comma within a field value can conflict with the comma used to delimit fields in the CSV. Similarly, a newline character could disrupt the logical structure of the file.

Addressing such issues can be complex and varies depending on specific project requirements. To work around commas, you can enclose fields in double quotes in the resulting CSV file. That said, to keep the code examples in this article easy to follow, these special cases have not been addressed. Therefore, this aspect should be taken into account for a more accurate conversion.

7. Conclusion

In this article, we explored various methods for converting XML to CSV, specifically diving into the XSLT and StAX methods. Regardless of the method chosen, having a well-suited XML structure for CSV, implementing data validation, and knowing which special characters to handle are essential for a smooth and successful conversion. The code for these examples is available on GitHub .

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XML To CSV Converter

Use this tool to convert xml into csv (comma separated values) or excel., from csv/excel.

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You can also force double quotes around each field value or it will be determined for you. The output CSV header row is optional. Your XML input should be record oriented in order to get good results. You can also remove double quotes, line breaks, and field delimiters from you data. See also CSV to XML and XML to JSON

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Upload a file, fetch from url, input: paste csv content below, output: converted xml.

CSV is an old & very popular format for storing tabular data. It has been used in the desktop as well as mainframe. It is a simple & compact format that works really well for tabular data and so is still in use today.

Extensible Markup Language (XML) is a widely used language that was once the de facto standard for data interchange between applications. Since the advent of JSON, however, it has lost the advantage to the more simple nature of JSON. Nevertheless, XML is still used by applications and SOAP based web services

Settings Explained

1. first row is header.

If this option is selected the first row of your comma separated file is assumed to be the header. The names of the properties are generated using the field values in the first row. If the option is not selected the property names are generated automatically using a numeric pattern: column 1, column 2, column 3, etc. In the latter case the first row is interpreted as raw data.

First Row is Header On

First row is header off, 2. delimiter, 3. root element name.

This is the name of the root element of the output XML under which the record/row nodes are created.

Root Element: People

Root element: root, 4. record element name.

This is the name of all the record/row elements created in the output XML.

Record Element: Person

Record element: record.

This setting governs whether or not the output is indented. The indented output is easier for humans to comprehend. On the other hand, a non-indented output is compact & smaller in size (best for transmission).

Indentation On

Indentation off, 6. attribute values.

This setting governs how the values are written in the output XML. When turned on, the values are written as XML attributes of the record elements. When turned off, the values are written as text nodes inside the record elements.

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Attribute values off, you may also like..., csv to json converter.

Convert CSV data into JSON. Choose whether property names are auto generated or taken from the header

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Stackexchange (e.g., stackoverflow) data dump converter from XML to CSV format.

SkobelevIgor/stackexchange-xml-converter

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Stackexchange-xml-converter.

CLI tool that allows you to convert Stack Exchange data dumps from XML to CSV or JSON formats, which is more suitable for importing to the different databases.

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Here you can find the examples of the schema for the different databases:

Getting started

Before, ensure that you have:

• Working Go environment with go version >= 1.14. Execute in the console go version command. It should display the current version of the compiler.
• Archiver that can extract .7z files. Possible candidate is 7z .

Choose and download the database dump that you are going to convert.

Important: Stackoverflow dump stored in 8 separated 7z archives:

• stackoverflow.com-Badges.7z ( ~ 70M compressed / 4G uncompressed / 37M rows )
• stackoverflow.com-Comments.7z ( ~ 4.5G compressed / 22G uncompressed / 76M rows )
• stackoverflow.com-PostHistory.7z ( ~ 28.0G compressed / 138G uncompressed / 133M rows)
• stackoverflow.com-PostLinks.7z ( ~ 100M compressed / 800M uncompressed / 7M rows)
• stackoverflow.com-Posts.7z ( ~ 16G compressed / 80G uncompressed / 50M rows)
• stackoverflow.com-Tags.7z ( ~ 900K compressed / 5.0M uncompressed / 60K rows)
• stackoverflow.com-Users.7z ( ~ 650M compressed / 4.0G uncompressed / 13M rows)
• stackoverflow.com-Votes.7z ( ~ 1.0G compressed / 20G uncompressed / 200M rows)

Extract archive(s) content file(s) to the directory from where you will convert XML files.

Example with academia.stackexchange.com.7z dump:

Clone & build stackexchange-xml-converter converter:

XML to CSV/JSON converting

Now you have the stackexchange-xml-converter executable file. Let’s convert XML files to the CSV format:

List of possible flags:

• result-format ( Required ) Result format (csv or json)
• source-path ( Required ) Absolute or relative path to the directory with an XML file(s) or to the separate XML file.
• store-to-dir ( Optional ) Absolute or relative path to the directory where to store result CSV files.
• skip-html-decoding ( Optional ) Some of the files (e.g., Posts.xml) contain escaped HTML. By default, the converter will decode them. To disable this behavior, use this flag.

MIT License

Contributors 2

CSV to XML Converter Online

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Introducing our latest addition to the suite of free online tools: the CSV to XML Converter. Simplifying the often cumbersome process of converting data between CSV (Comma-Separated Values) and XML (eXtensible Markup Language), our tool streamlines your workflow effortlessly. Whether you're a seasoned developer, data analyst, or simply someone looking to transform data formats seamlessly, our converter provides a user-friendly solution.

With our CSV to XML Converter, the transition from one data format to another is as straightforward as it gets. Gone are the days of manual data manipulation or struggling with complex software. Simply upload your CSV file, and our tool swiftly processes it, generating an XML file that preserves your data structure and integrity. Our converter is designed to handle various data types, ensuring flexibility and reliability throughout the conversion process.

Experience the convenience of transforming your data with just a few clicks. Our CSV to XML Converter empowers users with a fast, efficient, and intuitive solution. Whether you're working on a small-scale project or managing extensive datasets, our tool offers the efficiency and accuracy you need. Join countless users who have embraced the simplicity of data conversion with our online tool today.

Related Tools:

• YAML to CSV
• CSV to YAML
• YAML to XML
• CSV to Text
• JSON to XML
• XML to JSON
• XML to YAML
• CSV to JSON
• Base64 to XML
• CSV Columns to Rows
• JSON to CSV
• Text to CSV
• CSV to Base64
• Base64 to CSV
• XML to Base64

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CSV to XML Converter

World's simplest csv tool.

Free online CSV to XML converter. Just upload your CSV file in the form below and it will automatically get converted to an XML document. In the tool options, you can adjust the format of the input CSV by specifying its field delimiter and quote character, as well as skip commented records. Additionally, you can customize the XML output format. Created by programmers from team Browserling .

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Input CSV Format

Conversion options, xml indentation, what is a csv to xml converter.

This tool transforms Comma Separated Values (CSV) data into Extensible Markup Language (XML). Both CSV and XML are data exchange formats but they differ in structure. CSV is a simple tabular data format with rows and columns that uses a delimiter character (such as a comma) to separate data elements. XML is a hierarchical data format that allows data to be structured. Additionally, it supports nested data representation using tags and attributes. As a CSV file may not always use a comma as a column delimiter (for example, it can use a semicolon or a pipe symbol), you can customize the tool to work with another delimiter symbol in the options. Also, if the CSV data uses an unusual quote character to wrap fields, you can specify this new quote symbol in the options. To filter out unnecessary information in CSV, you can skip lines that start with comment characters by specifying them in the options. Comments often start with the hash "#" or a double-slash "//" symbol. If the first row of CSV data contains column headers, you can use this row to generate XML element names. The "Convert Headers" checkbox controls if XML elements use CSV columns or not. The "Ignore Empty Lines" checkbox allows the tool to ignore empty lines present in the CSV data during the conversion process. Several other options control the format of the XML document. The "Generate XML Meta Tags" option prefixes the output with the XML meta tag. This meta tag provides additional information about XML's version and encoding, making it simpler to parse in other programs. The converted XML can be printed as a compact single-line format (minified XML) or as a more visually readable structure with indentation in the form of spaces or tabs. To convert XML back to CSV, you can use our Convert XML to CSV tool. Csv-abulous!

CSV to XML Converter Examples

Convert transport data in csv format to xml format.

This example converts transport data from a CSV format to an XML format. Each CSV field is converted into a separate XML element, wrapped in opening and closing XML tags. To minimize output data size, it produces XML without indentation.

CSV with a Non-Standard Delimiter

In this example, we're working with a CSV file, which uses a non-standard field delimiter. Instead of the typical comma, a vertical line symbol "|" is used to separate the fields. To convert such data into XML, we specify the vertical line symbol in the delimiter option. Additionally, we enable the header conversion mode, which turns values from the first CSV row into XML tag names.

Turn Fruit CSV Data into XML Data

In this example, we transform CSV data about fruits and their caloric content into XML data. Since the first CSV row serves as the names of columns, we activate the option to convert columns into XML element names. Additionally, we skip empty CSV lines and ignore lines starting with two slashes "//" as they are comments. For better readability, the XML tags in the output document are indented by tabs.

Pro tips Master online csv tools

You can pass input to this tool via ?input query argument and it will automatically compute output. Here's how to type it in your browser's address bar. Click to try!

All CSV Tools

Edit the contents of a CSV file in a neat editor.

Remove duplicate rows in a CSV file.

Display detailed information about a CSV file.

Convert a CSV file to an HTML table.

Convert an HTML table to a CSV file.

Convert a CSV file to a Markdown table.

Convert a Markdown table to a CSV file.

Draw an ASCII table from CSV data.

Draw an ANSI table from CSV data.

Draw a Unicode table from CSV data.

Convert CSV to a PDF document.

Extract data from a PDF and create a CSV file.

Create a screenshot of CSV data.

Draw a CSV file as a PNG, JPG or GIF picture.

Extract data from an image and create a CSV file.

Convert a CSV file to an Excel spreadsheet.

Convert an Excel spreadsheet to a CSV file.

Convert a CSV file to a vCard file.

Convert a vCard file to a CSV file.

Convert CSV to a LaTeX table.

Generate SQL insert queries from a CSV file.

Create a CSV file from SQL query results.

Convert a CSV file to a qCSV (quoted CSV) file.

Convert a qCSV (quoted CSV) file to a CSV file.

Convert a CSV file to an INI file.

Convert an INI file to a CSV file.

Convert a CSV file to a JSONL (JSON Lines) file.

Convert a JSONL (JSON Lines) file to a CSV file.

Convert a CSV file to a plain text file.

Convert a plain text file to a CSV file.

Convert a CSV file to a null-separated values file (0SV).

Convert a null-separated values file (0SV) to a CSV file.

Convert a CSV file to a semicolon-separated file (SSV).

Convert a semicolon-separated file (SSV) to a CSV file.

Convert a CSV file to a hash-separated file (HSV).

Convert a hash-separated file (HSV) to a CSV file.

Convert a CSV file to a pipe-separated file (PSV).

Convert a pipe-separated file (PSV) to a CSV file.

Create an SQLite database from the given CSV file.

Export tables from an SQLite database as CSV files.

Convert a CSV file to a GeoJSON file.

Convert a GeoJSON file to a CSV file.

Merge together two or more CSV files.

Visually show the differences between two CSV files.

Run the diff algorithm on two CSV files.

Find CSV cells that contain certain data.

Return data in a CSV file that matches a pattern.

Extract a slice from a CSV file.

Cut a fragment from a CSV file.

Move CSV columns to the left or right.

Move CSV data rows up or down.

Sort the data in one or more CSV rows.

Randomly change the positions of CSV columns.

Randomly change the order of CSV rows.

Randomly change the order of all CSV values.

Change the name of CSV columns.

Generate a random CSV of any size.

Generate a CSV file that contains nothing.

Generate a large CSV file for testing.

Generate a custom CSV file with m rows and n columns.

Remove CSV columns that are completely empty.

Remove CSV rows that are completely empty.

Remove all fields in a CSV file that are empty.

Remove all empty lines in a CSV file.

Delete the comma separator from CSV files.

Delete extra commas around CSV values.

Delete comments (lines starting with # or //) from CSV files.

Delete the column header from a CSV file.

Delete the first line from a CSV file.

Minify a CSV file and remove unnecessary whitespaces.

Reduce the file size of a CSV file.

Change the character encoding of a CSV file to UTF8 or ISO-8859-1.

Add extra spaces between CSV columns.

Convert a CSV file to an m-by-n matrix.

Convert a CSV file to an array of arrays of fields.

Convert an array of arrays of fields to a CSV file.

Create a list from one or more CSV columns.

Create a list from one or more CSV rows.

Create an array from one or more CSV columns.

Create an array from one or more CSV rows.

Find the number of rows and columns of a CSV file.

Find the number of columns in a CSV file.

Find the number of rows in a CSV file.

Find the sum of CSV columns.

Find the sum of CSV rows.

Find the average value of CSV columns.

Find the average value of CSV rows.

Use different colors for CSV data, quotes, and commas.

Animate CSV data by showing column after column.

Automatically fix a broken CSV.

Introduce random errors to a CSV file for fuzz testing.

Hide personal or sensitive information in a CSV file.

Mask data in a CSV file.

Hide a secret message in a CSV.

Encrypt a CSV file and hide information in it.

Decrypt a previously encrypted CSV file and make it readable.

Create a visual drawing that shows the CSV structure.

Create a new CSV file in the browser.

Distort a CSV file by infusing it with Zalgo characters.

Neutralize the chaotic Zalgo and restore CSV integrity.

Preview the contents of a CSV file in an interactive editor.

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Created with love by.

We're Browserling — a friendly and fun cross-browser testing company powered by alien technology. At Browserling our mission is to make people's lives easier, so we created this collection of CSV tools. Our tools have the simplest user interface that doesn't require advanced computer skills and they are used by millions of people every month. Our CSV tools are actually powered by our web developer tools that we created over the last couple of years. Check them out!

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Convert CSV to XML online and free

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Drag & drop files Max. file size 1MB ( want more? ) How are my files protected?

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Zamzar had been trusted by individuals and businesses since 2006. We keep your files and data secure, and offer choice and control over when files are deleted.

• Free converted files are stored securely for a maximum of 24 hours
• Paying users' files are stored until they choose to delete them
• All users can delete files sooner than the expiry point for their file

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Employees of some of the world's most well-known brands rely on Zamzar to convert their files safely and efficiently, ensuring they have the formats they need for the job at hand. From global corporations and media companies, to respected educational establishments and newspaper publications, employees of these organisations trust Zamzar to provide the accurate and reliable conversion service they need.

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Zamzar has converted over 510 million files since 2006

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We're committed to regular charitable giving. Each month we donate at least 2% of our company profits to different charities

From your personal desktop to your business files, we've got you covered

We offer a range of tools, to help you convert your files in the most convenient way for you. As well as our online file conversion service, we also offer a desktop app for file conversions straight from your desktop, and an API for automated file conversions for developers. Which tool you use is up to you!

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You'll find all the conversion and compression tools you need, all in one place, at Zamzar. With over 1100 file-conversion types supported, whether you need to convert videos, audio, documents or images, you'll easily find what you need and soon have your files in the formats and sizing that work for you.

CSV is a type of file for saving spreadsheet data which is recognised by almost all spreadsheet programs. CSV stands for ‘comma separated values’, and if you open a CSV file outside a spreadsheet program, you will see plain text with the data separated, usually by commas, semi-colons, or quotation marks. If you open that same CSV file in a spreadsheet program like Microsoft Excel, Apple Numbers, Google Sheets or LibreOffice Calc, each separated piece of data should then be transferred into an individual cell. Because CSV files are recognised by almost all spreadsheet programs, they are used as a simple way to export data or transfer it between different programs. However, CSV is a plain text format, so CSV files cannot include advanced spreadsheet functions like charts, formulas, filters, or formatting. There is also not currently a universal open standard for all CSV files.

Related Tools

• Document Converters
• CSV Converter

XML files are data files, with XML being short for ‘Extensible Markup Language’. XML was first defined in 1998 by the World Wide Web Consortium (W3C) and is now recognised as an ISO open standard. As well as being a markup language, XML can also be used for storing and sharing data in a similar way to HTML. However, unlike HTML, XML is intended to store and carry data online, rather than to display it. XML can give structure to data for other applications to interpret and process, making data-sharing easier. XML files are plain text documents comprising Unicode characters and typed tags. Both humans and machines can read XML text. You can open XML files in internet browsers or plain text editors like Notepad. Since 2008, all Microsoft Office programs have been XML-based. This means you can read and edit XML files in Office programs including Word, PowerPoint or Excel.

How to convert a CSV to a XML file?

• 1. Choose the CSV file that you want to convert.
• 2. Select XML as the the format you want to convert your CSV file to.
• 3. Click "Convert" to convert your CSV file.

Convert from CSV

Using Zamzar , it is possible to convert CSV files to a variety of other formats:

Convert to XML

Using Zamzar , it is possible to convert a variety of other formats to XML files:

Classic to Canvas (QTI 2.0) Converter

Select the Axio .CSV file(s) you wish to convert into the Canvas QTI format.

Single File: If you only convert a single file at a time, it will be downloaded as a single .zip folder with the same name as the file you uploaded (check your Downloads folder). Do not unzip this folder .

Multiple Files: If you convert multiple assignments at once, they will be zipped into a folder labeled " BATCH_OF_#_ASSIGNMENTS " before being downloaded. You must unzip only the outer " BATCH_OF_#_ASSIGNMENTS " folder before continuing to the next step.

Important: Do not unzip the individually-named assignment folders inside the " BATCH_OF_#_ASSIGNMENTS " folder. They must remain in .zip format to be imported into Canvas.

• To import the resulting QTI file into Canvas, open your course Settings using the sidebar on the bottom left-hand side of your course page.
• Click Import Content into this Course , and select QTI .zip file under Content Type .
• Click Choose File and select one of the converted files you just created (usually saved to your Downloads folder by default). Click Import , and once the job is finished running, your content should show up under the Quizzes tab.

Java Convert Csv to Excel File Example

Hello readers, in this tutorial, we are going to implement the Csv to Excel file conversion by using the Apache POI library. This tutorial will show developers how to write large data to an excel file using SXSSF .

1. Introduction

SXSSF (Package Name: org.apache.poi.xssf.streaming ) is an API compatible streaming extension of XSSF to be used when very large spreadsheets have to be produced, and the heap space is limited. SXSSF achieves its low memory footprint by limiting access to the rows that are within a sliding window, while XSSF gives access to all rows in the document. Older rows that are no longer in the window become inaccessible, as they are written to the disk.

In the auto-flush mode the size of the access window can be specified, to hold a certain number of rows in the memory. When that value is reached, the creation of an additional row causes the row with the lowest index to be removed from the access window and written to the disk. Do remember, the window size can be set to grow dynamically i.e. it can be trimmed periodically by an explicit call to the flushRows(int keepRows) method needed. Due to the streaming nature of the implementation, there are the following limitations when compared to the XSSF .

• Only a limited number of rows are accessible at a point in time
• The sheetObj.clone() method is not supported
• Formula evaluation is not supported

Note : If developers are getting the java.lang.OutOfMemoryError exception, then the developers must use the low-memory footprint SXSSF API implementation.

Now, open up the Eclipse Ide and let’s see how to implement this conversion with the help of Apache POI library!

2. Java Convert Csv to Excel File Example

2.1 tools used.

We are using Eclipse Kepler SR2, JDK 8 and Maven. Having said that, we have tested the code against JDK 1.7 and it works well.

2.2 Project Structure

Firstly, let’s review the final project structure, in case you are confused about where you should create the corresponding files or folder later!

2.3 Project Creation

This section will demonstrate on how to create a Java-based Maven project with Eclipse. In Eclipse Ide, go to File -> New -> Maven Project .

In the New Maven Project window, it will ask you to select project location. By default, ‘Use default workspace location’ will be selected. Select the ‘Create a simple project (skip archetype selection)’ checkbox and just click on next button to proceed.

It will ask you to ‘Enter the group and the artifact id for the project’. We will input the details as shown in the below image. The version number will be by default: 0.0.1-SNAPSHOT .

Click on Finish and the creation of a maven project is completed. If you observe, it has downloaded the maven dependencies and a pom.xml file will be created. It will have the following code:

Developers can start adding the dependencies that they want to like OpenCsv, Apache POI etc. Let’s start building the application!

3. Application Building

Below are the steps involved in developing this application.

3.1 Maven Dependencies

Here, we specify the dependencies for the OpenCsv, Apache POI, and Log4j. The rest dependencies will be automatically resolved by the Maven framework and the updated file will have the following code:

3.2 Java Class Creation

Let’s create the required Java files. Right-click on the src/main/java folder, New -> Package .

A new pop window will open where we will enter the package name as: com.jcg.csv2excel .

Once the package is created in the application, we will need to create the implementation class and the main class. Right-click on the newly created package: New -> Class .

A new pop window will open and enter the file name as: CsvToExcel . The utility class will be created inside the package: com.jcg.csv2excel .

Repeat the step (i.e. Fig. 7) and enter the filename as: AppMain . The main class will be created inside the package: com.jcg.csv2excel .

3.2.1 Implementation of Utility Class

The complete Java code to convert a Csv file to the Excel format is provided below. Let’s see the simple code snippet that follows this implementation.

CsvToExcel.java

3.2.2 Implementation of Main Class

This is the main class required to execute the program and test the conversion functionality. Add the following code to it.

AppMain.java

4. Run the Application

To run the application, Right-click on the AppMain class -> Run As -> Java Application . Developers can debug the example and see what happens after every step!

5. Project Demo

The application shows the following as output where the Csv is successfully converted to Excel and is successfully placed in the project’s config folder.

That’s all for this post. Happy Learning!!

6. Conclusion

This tutorial used the Apache POI libraries to demonstrate a simple Csv to Excel file conversion. That’s all for this tutorial and I hope this article served you whatever you were looking for.

7. Download the Eclipse Project

This was an example of Csv to Excel file conversion for the beginners.

We will contact you soon.

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WindowsAutoPilotIntune

Sample module to manage AutoPilot devices using the Intune Graph API

Installation Options

• Install Module
• Install PSResource
• Azure Automation
• Manual Download

Copy and Paste the following command to install this package using PowerShellGet More Info

Copy and Paste the following command to install this package using Microsoft.PowerShell.PSResourceGet More Info

You can deploy this package directly to Azure Automation. Note that deploying packages with dependencies will deploy all the dependencies to Azure Automation. Learn More

Manually download the .nupkg file to your system's default download location. Note that the file won't be unpacked, and won't include any dependencies. Learn More

(c) 2024 Microsoft. All rights reserved.

Package Details

• Windows Autopilot

BoolToString Connect-MSGraphApp Get-AutopilotDevice Set-AutopilotDevice Remove-AutopilotDevice Get-AutopilotImportedDevice Add-AutopilotImportedDevice Remove-AutopilotImportedDevice Get-AutopilotProfile Get-AutopilotProfileAssignedDevice ConvertTo-AutopilotConfigurationJSON Set-AutopilotProfile New-AutopilotProfile Remove-AutopilotProfile Get-AutopilotProfileAssignments Remove-AutopilotProfileAssignments Set-AutopilotProfileAssignedGroup Get-EnrollmentStatusPage Add-EnrollmentStatusPage Set-EnrollmentStatusPage Remove-EnrollmentStatusPage Invoke-AutopilotSync Get-AutopilotSyncInfo Import-AutopilotCSV Get-AutopilotEvent

Dependencies

• microsoft.graph.authentication
• Microsoft.Graph.Groups
• Microsoft.Graph.Intune

Release Notes

Version 5.7: Updated to use the newly renamed properties of windowsAutopilotDeploymentProfile Version 5.6: Removing the Content_Types xml file Version 5.5: Fix Connect-MSGraphApp function to use -force while invoking ConvertTo-SecureString to ensure backward compatability to older PS versions. Version 5.4: Update Connect-MSGraphApp function to use secure string and fix RequiredModules to include graph auth and groups. Version 5.3: Switching back to using Write-Host and fix esp settting bug.   Version 5.2: Fix \[Content_Types].xml already exists issue.         Version 5.1: Switch from MSGraph to MgGraph. Version 5.0: Replaced deprecated orderIdentifier parameter with groupTag parameter. Version 4.8: Added Connect-MSGraphApp wrapper to simplify app-based authentication. Version 4.7: Fixed a bug. Version 4.6: Added Get-AutopilotSyncInfo cmdlet. Version 4.5: Enabled skip connectivity check option for Hybrid Azure AD Join VPN support. Version 4.4: Removed Set-AutoPilotDeviceAssignedUser function (workaround no longer needed). Added logic to JSON conversion function. Version 4.3: Re-added Set-AutoPilotDeviceAssignedUser function to address white glove user assignment issue (temporary workaround) Version 4.2: Bug fix for not-yet-supported property Version 4.0: Reworked *-AutopilotProfile functions, added new Get-AutopilotEvent function, added verbose logging to all functions Version 3.9: Removed logic to install and load dependent modules and instead declared them in the module manifest, for compatibility with Azure Automation Version 3.8: Replaced Set-AutopilotDeviceAssignedUser with more-capable Set-AutopilotDevice method Version 3.7: Fixed but with serial number filter on Get-AutopilotDevice Version 3.6: Added 256 to the default CloudAssignedOobeConfig value to suppress the check for Windows feature updates Version 3.5: Fixed HttpMethod values for DELETE and PATCH to be upper-case Version 3.4: Fixed a bug Version 3.3: Removed duplicate cmdlet Version 3.2: Added Get-AutopilotProfileAssignedDevices cmdlet to get the list of devices with a specific profile Version 3.1: Fixed bugs, added expand logic for Autopilot devices Version 3.0: Modified script to use the Microsoft.Graph.Intune module, added new functions from Damien Van Robaeys Version 2.7: Added support for using GroupTag instead of OrderID for uploading batches of devices Version 2.6: Added the ability to read the OrderID value from a CSV file; fixed "Waiting for 1 of" message Version 2.5: Modified ConvertTo-AutopilotConfigurationJSON to set ZtdCorrelationId to the ID of the profile; added Set-AutoPilotDeviceAssignedUser function (thanks to Oliver Kieselbach) Version 2.4: Modified ConvertTo-AutopilotConfigurationJSON to properly support available AAD user-driven options Version 2.3: Added new Invoke-AutopilotSync method (equivalent to clicking "Sync" in the Intune console) Version 2.2: Added pagination support (thanks to Oliver Kieselbach) Version 2.1: Fixed syntax issue in connect method Version 2.0: Added cmdlet help (and fixed the mistake of using 1.41 as a verion, since 1.41 is considered > 1.5 because 41 is greater than 5) Version 1.4: Added functions to delete a device, to list Autopilot profiles, and to convert Autopilot profiles into JSON. Version 1.3: Fixed module manifest to export functions

• WindowsAutoPilotIntune.nuspec
• WindowsAutoPilotIntune.psd1
• WindowsAutoPilotIntune.psm1

Version History

Assignment to ColumnDefinitions with binding to xamarin forms

I need the column to be dynamic and the values ??to change when I click the button.

I made a method that, when activated, will pass the value to a variable that will be used for association through binding.

The property this method have a declared GrindLenght:

In xaml define the column like this:

The converter I'm using is this one, but nothing happens when I press the button.

what can be wrong?

If you want to set the RowDefinition 's Height to a Dynamic value. You can do as follows:

1.created a view model RowHeightClass

2.bind the properties in MainPage.xaml as follows:

3.MainPage.xaml.cs

I added two properties RowFirstHeight and RowSecondHeight and implemented interface INotifyPropertyChanged for this view model, if we change the value of above properties, the UI will update automatically.

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