How to create a csv file

Updated April 23, 2022

How to Import/Convert CSV to Excel

In this tutorial, We will import external data from a simple CSV file containing customer payments. You can download the CSV file for this exercise.

  • Open a new workbook
  • Click on DATA tab on the ribbon
  • Click on From Text button
  • You will get the following window

How to create a csv file

  • Browse to the folder where you downloaded the CSV file
  • Select da.csv file
  • Click on Import button
  • You will get the following import text file wizard

How to create a csv file

  • Click on Next button

How to create a csv file

  • Select Comma on the Delimiters panel
  • Click on Next button

How to create a csv file

  • Click on Finish button

How to create a csv file

  • Click on OK button
  • You will get the following data

How to create a csv file

In some cases you may not get comma separated file, it could be Slash (\), Pipe (|) or other delimiter separated files. Let’s take a look at how to deal with them.

Here is sample Slash (\) separated value file that you can download.

  • Open a new workbook
  • Click on DATA tab on the ribbon
  • Click on From Text button
  • Browse to the folder where you downloaded the file and Import it
  • You will get the following import text file wizard

How to create a csv file

  • Click on Next button

How to create a csv file

  • Now instade of selecting the Comma Delimiter, Select Other and set Slash (\) as delimiter on the Delimiters panel
  • Then click on Next Button.
  • Then click on Finish Button
  • Now Import data in Existing worksheet

How to create a csv file

What is a .csv file? CSV stands for Comma Separated Values. A CSV file is a plain text file that stores tables and spreadsheet information. The contents are often a table of text, numbers, or dates. CSV files can be easily imported and exported using programs that store data in tables.

CSV File Format

Usually the first line in a CSV file contains the table column labels. Each of the subsequent lines represent a row of the table. Commas separate each cell in the row, which is where the name comes from.

Here is an example of a CSV file. The example has three columns, labeled ‘name’, ‘id’, and ‘food’. It has five rows including the header row.

Here is how that file looks in a spreadsheet.

How to create a csv file

Since a CSV file is just a text file, you can create one in almost any text editor. You can also export CSV files from almost any spreadsheet program, such as Microsoft Word, OpenOffice Calc, or Google Sheets.

How to open a CSV file

Opening a CSV file is simpler than you may think. In almost any text editor or spreadsheet program, just choose File > Open and select the CSV file.

For most people, it is best to use a spreadsheet program. Spreadsheet programs display the data in a way that is easier to read and work with than a text editor. We’ll go into more detail on opening a CSV file in Microsoft Excel, OpenOffice Calc, and Google Sheets.

Open a CSV file Microsoft Excel

If you already have Microsoft Excel installed, just double-click a CSV file to open it in Excel. After double-clicking the file, you may see a prompt asking which program you want to open it with. Select Microsoft Excel.

If you are already in Microsoft Excel, you can choose File > Open and select the CSV file. If you don’t see the file you want to open, you may need to change the file type to be opened to “Text Files (*.prn, *.txt, *.csv)”. Excel will display the data in a new workbook.

You can also import data from a CSV file into an existing worksheet.

  1. On the Data tab, in the Get & Transform Data group, click From Text/CSV.
  2. In the Import Data dialog box, double-click the CSV file you want to import, and click Import.

In the preview dialog box, you have a few options:

  • Select Load if you want to load the data directly to a new worksheet.
  • Select Load to if you want to load the data to a table or existing worksheet.
  • Select Transform Data if you want to load the data to Power Query, and edit it before bringing it to Excel.

Open a CSV file OpenOffice Calc

If you already have OpenOffice Calc installed, just double-click a CSV file to open it. After double-clicking the file, you may see a prompt asking which program you want to open it with. Select OpenOffice Calc.

If you are already in OpenOffice Calc, you can choose File > Open and select the CSV file.

Open a CSV file Google Sheets

First, open a new spreadsheet file in Google Sheets. The fastest way is to go to https://sheets.new.

Next, select File > Import.

How to create a csv file

Select the Upload tab, then either drag the CSV file onto the window or select the CSV from your computer.

How to create a csv file

You can probably keep the default values on the Import file window, but look over them just to make sure. Then select Import data.

How to create a csv file

How to create a csv file

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A CSV (Comma Separated Values) file is a special type of file that you can create or edit in Excel. Rather than storing information in columns, CSV files store information separated by commas. When text and numbers are saved in a CSV file, it’s easy to move them from one program to another. For example, you can export your contacts from Google into a CSV file, and then import them to Outlook.

For assistance importing a list of calendar entries into Outlook, see Import and export Outlook email, contacts, and calendar.

Create a .csv file from another program or email provider

When you export your contacts from another program, for example, from Gmail, you can usually select one of several formats. Gmail offers you the choice of a Google CSV file, an Outlook CSV file, or vCards. When exporting from one Outlook profile to import into another profile, you can choose to export into a Comma Separated Values file or an Outlook Data File (.pst).

Download and open a sample .csv file for importing contacts to Outlook

If you want to create a CSV file for your contacts manually, you can do that one of two ways.

Create an Excel file and save it as a CSV file

If you have contact information in a program that doesn’t allow you to export it, you can type it in manually.

Create a new document in Excel.

Add a column heading for each piece of information you want to record (for example, first name, last name, email address, phone number, and birthday), and then type the information in the appropriate columns.

When you’re done, your Excel file should look something like this.

Select File > Save As.

Use the drop-down box to select CSV (Comma delimited) (*.csv), give your file a name, and then select Save.

How to create a csv file

You can now use this new CSV file to import your contacts into Outlook.

Download a template CSV file

If you’d like to start with a blank CSV file, you can download the sample file below.

Download this sample .csv file to your computer. When prompted, choose to Save the file to your computer as a CSV file. If you save it as an Excel file (.xls or .xlsm) all of the data will be stuffed into one column!

How to create a csv file

On your computer, open Excel.

In Excel, go to File > Open > and then navigate to the .csv file you just downloaded to your computer. To find the .csv file, be sure to look at All Files. Click on the .csv file to open it.

How to create a csv file

There are a few things to remember when working with this sample CSV file:

Outlook requires column headings in the first row so don’t replace them with something else.
The language of the column headings must match Outlook’s default language. If Outlook’s default language is set to Portuguese, for example, you must edit the column headings so they appear in Portuguese.

You can delete the data in rows 2-6 (the sample names, phone numbers, email addresses, etc).

You don’t need to enter values for every column. Only enter the info you want.

Save the file with a new name as a CSV file type (.csv). If you use Excel to work in the file, when you save it, Excel will prompt you a few times with “are you sure you want to save it in CSV format?” Always choose Yes. If you choose No, the file will be saved in Excel’s native format (.xlsx) and Outlook won’t be able to use it to import data.

Practice importing your CSV file with a few contacts to make sure you like the results. Afterwards, you can delete the imported contacts, add more to your CSV file, and import it again.

If you were to import the data in the sample CSV file, here’s what it would look like in Outlook on the web for Microsoft 365:

How to create a csv file

Edit a .csv file of contacts you want to import to Outlook

Let’s say you want to edit a .csv file that you exported from Outlook, and then import it back to Outlook or another email provider. Using Excel makes it easy to edit the .csv file.

Here are a few things to remember when editing a .csv file:

Keep the column headings in the first row.

When you save it, Excel will prompt you a few times with “are you sure you want to save it in CSV format?” Always choose Yes. If you choose No, the file will be saved in Excel’s native format (.xlsx) and it won’t work for importing into Outlook.

Problem: All my data appears in the first column

Here are a few reasons this happens, and things you can do to try to fix this problem:

If you save CSV file in another format, such as .xls, .xlsx, or .xlm, all of the data will appear in the first column. Go back to the original CSV file and make sure to save it as type .csv.

It’s possible that the program creating the CSV file is putting extra quote marks in the data. As a result, Excel treats the data as a single unit. For example, let’s says your data looks like this:

a, b, c, d – Excel puts each letter in it’s own column.

“a, b, c, d”, e – Excel puts a,b,c,d in one column and e in another column.

To see if this is the problem with your file, open your file in Notepad: Right-click on the CSV file in Windows, choose Open With > Notepad. Search for extra quote marks.

If you find extra quote marks, here’s how to fix your file:

Use Excel to open the CSV file. All the data will be in column A and the quote marks will be gone.

Now use the Text to Columns wizard to separate the data in column A into individual columns: on the menu bar, choose Data > Text to Columns.

How to create a csv fileText to Columns” loading=”lazy”>

Choose Delimited > Next. Then choose Commas > Finish.

Save the file as type .cvs so you can still import it into Outlook.

How to create a csv file

A CSV file is a comma-separated value file that is used to transport data between databases, spreadsheets or systems. It is an almost universal method that would allow you to download a product list from the web and import it into Excel without losing its meaning for example. Creating a CSV file is very straightforward if you follow a few simple rules.

The use of commas to separate values is common in systems and works to our advantage here. The program you import data into generally knows to separate entries as soon as it sees a comma so a properly configured dataset can be accurately shared between systems. It is a very useful way to transfer data.

I use CSV files a lot when building product pages for websites. You can create a table very easily if you format a flat file (which is what the CSV is referred to as) and import it onto the site or into the CMS that controls the site. If you work in ecommerce or any web store, you will already be very familiar with these.

How to create a csv file

Create a CSV file

If you are a Windows user you would likely use Excel to create a spreadsheet. Apple users can either use Excel or Numbers. Either way, the process of creating a CSV file is similar.

  1. Populate your spreadsheet with whatever data you need.
  2. Select File and Save As.
  3. Select a destination and then select CSV from ‘Save as type’ at the bottom of the window.
  4. Select Save.

As long as the data is in the correct format, it should save correctly. If you see an error such as ‘This file may contain features that are not compatible with CSV’, this means there is formatting in the data that will not be used when you open the file. Just select Yes to continue saving.

If you plan on using the file in Excel from now on, it would be a good idea to save a copy as an .xls file. This enables you to expand the data into multiple pages, add formulas, formatting and all that good stuff that you can do with Excel.

If using Numbers, you may need to remove formatting before importing into it.

  1. Paste your data into TextEdit and change the format to plain text.
  2. Save the file with a .csv file extension. Manually change it in Finder if you cannot save it as a .csv.
  3. Open Numbers and open the file you just created.
  4. If the format is correct, save a fresh copy so you can open it faster next time.

As long as the formatting is correct and you saved the original in plain text and not RTF, the sheet should open correctly in Numbers just the same as it would in Excel.

How to create a csv file

Creating compatible CSV files

Aside from making sure each data point is separated by a comma, what else does a fully compatible CSV file have to have? CSV is quite the flexible format but following a few logical rules can ensure your file is compatible with the widest selection of applications.

  • First and foremost, the comma. All data points must be separated by a comma to be fully compatible with most spreadsheet programs. You can use a pipe or tab (tab delimited) but not all spreadsheets will format it correctly.
  • Use separate lines for each record. You can run a line for as long as you like as long as it is a single record. Multiple records should have a line each.
  • Don’t use a space between comma. While Excel ignores the space, some older spreadsheet programs do not. For maximum compatibility, don’t add the extra space between the data point and the comma.
  • Use double quotes if a data point includes its own comma. For example, “Chicago, IL” needs “” to tell the spreadsheet that the comma between Chicago and IL is supposed to be there and does not form part of the formatting.
  • If data points include double quotes, they need double double quotes. For example, “Dave says this product is way cool” needs to be formatted ““Dave says this product is way cool””. This tells the spreadsheet to include the inner set of double quotes.

There are a bunch more ‘rules’ for creating compatible CSV files. You can find them all here on the CSV Wikipedia page. I consider these as the only ones you really need to know if creating the majority of flat files for use in spreadsheets or online.

Got any other tips for creating CSV files? Tell us about them below if you do!

INTRODUCTION

This article describes how to create .rpt or .csv files from an SQL statement in SQL Query Analyzer, in SQL Server Management Studio, and in the Support Administrator Console.

More Information

To create .rpt or .csv files from an SQL statement, use one of the following methods.

Method 1: SQL Query Analyzer

Click Start, point to All Programs, point to Microsoft SQL Server, and then click Query Analyzer.

In the Connect to SQL Server dialog box, enter the sa user name and password, and then click OK.

Click Query, and then click Results to File.

Enter and then execute the SQL statement.

In the Save Results dialog box, specify the following settings:

Save In: Select a directory in which to save the file.

File Name: Type a name for the file.

Save as type: Report Files (*.rpt or *.csv)

To open the report file in SQL Query Analyzer, click Open on the File menu.

In the Files of Type list, click All Files (*.*).

Click the report file, and then click Open.

Method 2: SQL Server Management Studio

Click Start, point to All Programs, point to Microsoft SQL Server 200X, (your version)and then click SQL Server Management Studio.

In the Connect to Server dialog box, specify the following settings:

Authentication: SQL Server Authentication

Password: Type the sa password.

Click New Query.

On the Query menu, point to Results to, and then click Results to File.

Enter and then execute the SQL statement.

In the Save Results dialog box, specify the following settings:

Save In: Select a directory in which to save the file.

File Name: Type a name for the file.

Save as type: Report Files (*.rpt or *.csv)

To open the report file in SQL Server Management Studio, point to Open on the File menu. Then, click File.

In the Files of Type list, click All Files (*.*).

Click the report file, and then click Open.

Method 3: Support Administrator Console

Click Start, point to Programs, point to Microsoft Support Administrator Console, and then click Support Administrator Console.

In the Connect to SQL Server dialog box, specify the following settings:

Password: Type the sa password.

Enter and then execute the SQL statement.

On the File menu, click Export.

In the Save As dialog box, specify the following settings:

File name: Type a name for the file.

Save as Type: CSV Files (*.csv)

Note This .csv file can be opened in Microsoft Excel.

Create a contacts list to use in Excel

How to create a csv file

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What to Know

  • Convert contacts to CSV: File >Open & Export >Import/Export. Choose Export to a file >Next >Comma Separated Values >Next.
  • Highlight the Contacts folder and select Next. Select Browse and then save and name your CSV file. To export, go to Outlook.com.
  • Open your contacts list and select Manage >Export Contacts. Choose All Contacts >Export. The CSV file will be in your Downloads folder.

This article explains how to save your Outlook contacts as a CSV file and import them elsewhere. Instructions cover Outlook 2019-2010, Outlook for Microsoft 365, and Outlook.com.

Convert Your Contact List to a CSV File

To export your contact lists, open Outlook and follow these steps:

Go to the File tab and select Open & Export.

How to create a csv file

Select Import/Export to start the Import and Export Wizard.

How to create a csv file

Choose Export to a file, then select Next.

How to create a csv file

Choose Comma Separated Values, then select Next.

How to create a csv file

Highlight the Contacts folder for your email account, then select Next.

How to create a csv file

Select Browse.

In the Browse dialog box, navigate to the location where you want to save the file, enter a file name, then select OK.

Select Next.

Select Finish. The CSV file is exported to the location you designated.

How to Export Outlook Contacts from Outlook Online

If your contacts are stored in the online version of Outlook, the export settings are in a different location. When you export your contacts from Outlook online, they will be saved as a CSV file that can be imported into another email service or account.

Select the People icon at the bottom of the navigation pane on the left side of the screen to open your list of contacts.

How to create a csv file

Select Manage on the toolbar above the contacts list and choose Export Contacts from the drop-down menu that appears. The Export Contacts dialog box will open.

How to create a csv file

Choose All Contacts if you want to export all the contacts in your account. If you want to export contacts in another folder, select that folder. Select the Export button to continue.

How to create a csv file

The exported contacts will be in a CSV file located in your device’s default Downloads folder.

How to create a csv file

You might have heard of a CSV file but what does it mean?

In this article, we are going to learn what a CSV file is, and how to open and export them using Microsoft Excel and Google Sheets.

What is a CSV file?

CSV stands for Comma Separated Values. This is a file that contains data separated by commas and is usually used in spreadsheets and databases.

This is an example of a CSV file. We have two categories of Full Name and Major and the data is separated by commas.

Sometimes the separation of the data doesn’t have to be a comma. It could be a space or semicolon.

This separator is called a delimiter but the most commonly used is a comma.

CSV files are very useful because you can share information between different programs as long as they can open up the file.

For example, I can create a CSV file in Microsoft Excel and import that data into my contacts.

How to create a csv file

How to Create and Export a CSV file in Microsoft Excel

Microsoft Excel is a powerful tool that allows you to organize your data in the form of spreadsheets. The most common use cases for Excel would be to create budgets, sort and store data, and create charts or graphs.

Here are the steps for creating and exporting a CSV file in Excel.

  1. Click to open Microsoft Excel and go to File > New

How to create a csv file

2. Add data inside the spreadsheet

3. Go to File > Save

How to create a csv file

4. For the file format, choose .csv and click Save

How to create a csv file

How to Open a CSV File in Microsoft Excel

  1. Open Excel and go to File > Open.

How to create a csv file

2. Find the CVS file and click on Open

How to create a csv file

You should then see your data opened in a spreadsheet:

How to create a csv file

How to Create and Export a CSV file in Google Sheets

If you have a Google account, you can create and export CSV files using Google Sheets.

  1. Sign into your Google account

How to create a csv file

2. Under Google Apps, scroll down and click on Sheets

How to create a csv file

3. To create a new Google Sheet, click on Blank

How to create a csv file

4. Add data and name your spreadsheet

How to create a csv file

5. Click File > Download and choose the Comma Separated Values option

How to create a csv file

The file should then download to your machine where you can open it in any program that opens CSV files.

How to Open a CSV File in Google Sheets

  1. Open up a Blank Google Spreadsheet

How to create a csv file

2. Click on File > Import

How to create a csv file

You have four options to choose from.

  • Import file from Google Drive
  • Import files shared with you
  • Import recent Files
  • Import Files from your computer

How to create a csv file

3. To import a file from your computer, click on Upload

How to create a csv file

4. Select a file from your computer. You should then see a pop up window like this:

How to create a csv file

You can choose to leave the default option or change your separator type.

How to create a csv file

You can also choose to leave the default option or change the import location.

How to create a csv file

Once you are done, click on the Import data button.

How to create a csv file

You should now see the imported information appear in your Google Spreadsheet.

How to create a csv file

That is how to create, open, and export CSV files in Microsoft Excel and Google Sheets.

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This article answers the question that man has wrestled with since the days when fire was considered cutting edge tech- how to create CSV files to handle all the data. One way is to open a plain text editor and start typing. Another way is to use a CSV editor like Modern CSV. Finally, you can export a CSV file. By way of example, I’ll use WooCommerce, a popular e-commerce platform for WordPress. I’ll cover how to export a CSV from WooCommerce, build a product list in Modern CSV, and import the modified CSV back into WooCommerce.

What is a CSV File?

A CSV (comma separated value) file is a plain text file representing a table of information. Commas typically separate the columns and newline characters (e.g. the Enter key) separate the rows.

If a cell has commas or newlines, surround the cell with double quote characters. If it has double quote characters, type them in twice and also surround the cell with double quotes.

Typically, the first row is a header row labeling the columns. The rows that follow are records.

CSV files sometimes use tabs, pipes (|), or semicolons to separate the columns. They may be called TSVs, PSVs, or DSVs respectively.

How to Manually Create CSV Files

Suppose you want to make a CSV file of actors you’ve seen in movies and TV recently for some reason. If you made it in a text editor, it might look like this:

How to create a csv file

That’s not especially convenient. The columns don’t align, you can’t sort by birthdate or filter to only see women or people born in a certain country. If you want to insert a column or move columns around, you’re in for a lot of manual labor. Additionally, you have to surround the birthplace entries with double quotes. If you mess it up, your file will be misaligned. Plus, it just looks awkward.

If you’d rather not deal with that, try Modern CSV instead. Here’s what the same file looks like:

How to create a csv file

Now, you can use a ton of great features that operate on both rows and columns.

Let’s use a more realistic example of how you might use a CSV editor in real life.

Export a CSV from WooCommerce and Import the CSV Back

WooCommerce is an e-commerce tool that makes it easy to export product data and import it back in CSV format.

Suppose you’re setting up an e-commerce store to sell your custom-made art products. You have a million products that will take a thousand years to type manually in your browser. Here’s a much easier approach:

  1. Manually enter a single product in WooCommerce.
  2. Export it to CSV.
  3. Enter the rest of the products with Modern CSV.
  4. Import it back to WooCommerce.

1. Manually enter a single product in WooCommerce.

Enter all the product descriptions, variations (like color), SEO data, images, etc. for just one product. This will serve as the template for the rest:

How to create a csv file

2. Export it to CSV.

In the WordPress sidebar, go to Products.

How to create a csv file

Hit the Export button.

How to create a csv file

Check the “Export custom meta?” option and hit the Generate CSV button. Then, download the file.

How to create a csv file

You have just created a simple CSV file that already has the header information need to add the rest of your products.

3. Enter the rest of the products with Modern CSV.

Open the file with Modern CSV.

How to create a csv file

It may be awkward scrolling horizontally to see all the fields. If you wish, you can transpose it using the Transpose Table command (ctrl+alt+t for Windows and Linux, cmd+alt+t for Mac). More about transposing here.

How to create a csv file

Or you can leave it as it was.

Perhaps you have a bunch of similar products that only differ on the specifics. You can duplicate the first product’s row several times with the Duplicate Rows command (ctrl+alt+r for Windows and Linux, cmd+alt+r for Mac).

How to create a csv file

You can create new IDs in the ID column with the Fill Selected Cells with Series command (ctrl+alt+n for Windows and Linux, cmd+alt+n for Mac).

How to create a csv file

You can then select row 2 and call the Replace command (ctrl+h in Windows and Linux, cmd+alt+f in Mac). Then, you can replace the product name using the Match Only in Selected Cells option. This option will automatically be selected when multiple cells are selected.

How to create a csv file

For editing the description, you’ll probably want to use newline characters and such. With the editor pane, you can do that. It’ll be like typing in a plain text editor. You can enable it with the Toggle Show Editor Pane command (crtl+k,ctrl+e for Windows and Linux, cmd+shift+e for Mac).

How to create a csv file

You can escape out of it with the esc key or navigate out with alt+i (up), alt+l (right), alt+j (left), or alt+k (down).

4. Import it back to WooCommerce.

Once you add all your products to the CSV and edit them, you can save import them back to WooCommerce. In WordPress, go back to the Product screen and click the Import button.

How to create a csv file

On the next screen, point it to the file and hit Continue.

How to create a csv file

When the process is done, you might have some errors. Fortunately, the error log is actually helpful. In this case, I left the SKUs the same for each of the products.

How to create a csv file

Back in Modern CSV, I update the SKUs…

How to create a csv file

and try again. This time, it worked and I can see all my products:

How to create a csv file

Conclusion

This is one example of how you can create CSV files with Modern CSV using WooCommerce’s CSV export and CSV import features. You can perform similar actions with all sorts of e-commerce platforms and databases. Instead of slogging through tedious user interfaces, you can use Modern CSV to quickly edit your data.

How to create a csv file

How to create a csv file

How to create a csv file

Or, it may be that you need to upload the data to an app or database. Most don’t accept text files, but they almost certainly accept CSV – the universally loved format.

Whatever the case may be, you may wish to convert your text file to CSV format. And it’s very easy to do.

Converting text files to CSV

  1. Open your “.txt” file in the default program (typically Notepad if you’re on a PC, or Text Edit if you’re a Mac person).
  2. For PC, head to the “File” menu, and choose “Save as”. You’ll type in the name of your file, and add the extension “.csv”. This will automatically change it to CSV format!
  3. For Mac, select “File” and then “Rename” – again, you’ll name the file and include the “.csv” extension at the end.

How to create a csv file

That is all! Simply adding the “.csv” extension to a text file will change the file format itself to “.csv”.

Of course with anything that simple, there has to be a disclaimer.

Remember that if your end goal is to have tabular data in CSV format, this requires that the data itself in the file is formatted correctly. Simply converting a text file to CSV will not magically create commas or headers or anything else you’d expect, if it didn’t exist already.

How to create a csv file

In this article, we show how to create a CSV-formatted file with a plain text file.

There are many ways of creating CSV files. They can be created with commercial software such as Microsoft Excel, Microsoft Access, and many other types of enterprise software.

However, a CSV file can also be created by something as simple as a plain text file by software such as notepad or wordpad (for Windows) or TextEdit (for Mac).

With a commercial software, you save the CSV file with a .csv file extension. However, when creating a CSV-formatted file with a plain text file, the file is saved simply as a text file (.txt). Even though it is simply a text file, as long as the data in it is formatted with comma-separated values, it will function as a CSV file.

Creating a CSV File

So to create a CSV file, open up a software that creates text files such as notepad or wordpad if you are on Windows. For a Mac computers, this would be TextEdit.

Create a new text file (.txt) and name it whatever you would like.

We’ve now created a file that will act as a CSV file so that we can transfer the data we put into it into database tables.

Now that we’ve created our file, we need to add the data in it, which must be formatted in CSV format.

To put data in CSV format, we simply put the data in the forms of rows and columns. Each new line in the text file represents a new row. Within each row, you place a comma to separate the various columns of the table.

So, say we have a table that represents office employees composed of a name column, an age column, and an occupation column.

We will add 2 employees data to the CSV file.

One of the employees is Vanessa, age 26, who is a secretary.

Another employee is Ron, age 25, who is a janitor.

To add this to the text file in CSV format, we have the following data in the text file, shown below.

You can see this CSV-formatted file at the following link: Office Employees CSV File In a Plain Text File.

The file is extremely simple.

We have 2 rows of data composed of 3 columns each. The first column is the name of the employee, the second column is the age of the employee, and the third column is the occupation of the employee at this office.

This is all that a CSV file must have. The rows representing the new sets of data that go into a database table and the the columns of each row which are separated by commas. So a comma acts as a delimiter separating the rows. This is why a CSV file is called a comma-separated values file.

With this simple CSV file, we can use it for various purposes. We can use it to be read by a software such as Microsoft Excel or we can use it to enter data into a MySQL database table or for various other software.

Again, this just goes to show you how easy it is to create a CSV file with a plain text file. And this same CSV file can be used across numerous different types of software.

To see how to load a CSV file into a MySQL table, see How to Load a CSV File into a MySQL Table Using PHP.

Introduction

This Article provides two VBA code samples to create and write to a CSV file:

1) Creating a CSV file using the Open For Output as FreeFile.
2) Creating a CSV file using the FileSystemObject object.

I prefer the latter approach mainly as I am using the FileSystemObject for further coding, for example processing all files in subfolders recursively (though that technique is not used in this article).

Creating CSV files

What’s the point?
As per http://en.wikipedia.org/wi ki/Comma-s eparated_v alues CSV is a simple file format that is widely supported, so it is often used to move tabular data between different computer programs that support the format.

For the VBA coder:

The two code samples below use Variant Arrays to create a transposed output (i.e. transposing columns for rows) of every WorkSheet in the ActiveWorkbook. Readers may find my Article on using Variant Arrays rather than loops useful, Using Variant Arrays in Excel VBA for Large Scale Data Manipulation.

Understanding the Code

There are 5 major portions in the sample code:

Using the Code

1. Copy the code at the bottom of this Article
2. Open any workbook.
3. Press Alt + F11 to open the Visual Basic Editor (VBE).
4. From the Menu, choose Insert-Module.
5. Paste the code into the right-hand code window.
6. Close the VBE, save the file if desired.

Notes:

If you found this article helpful, please click the Yes button near the:

Im splitting a CSV file based on column “ColumnName”. How can I make all the CSV files created save into a specified path?

1 Answer 1

pandas.DataFrame.to_csv() takes a string path as input to write to said path.

With your current code group.to_csv(‘.csv’, index=False) , is being interpreted as a normal string. If you wanted variable substition in this case Python has many methods, two would be:

f-strings – Introduced in Python 3.6

str.format

Specifying path

Following this. If you’re looking to specify more than just the file name, you are able to specify the full file path or the file path relative to the current directory.

Providing full file path

Full file paths require describing the path from the root context. In windows this would be providing a path such as f’C:\Users\mycsvfolder\.csv’ . Providing the full path to to_csv() will have the file written there.

Note In linux, root context starts at / . So for example /Users/myuser/mycsvfolder/file.csv would be the full file path.

Providing a relative file path

Relative file paths take into account the current folder. For example, to instead write to a folder within the current folder you are able to specify f’mycsvfolder/.csv’ and the file will be written to the specified folder in the current directory. It’s with this method that writing f’.csv’ will write a file, but to the current directory as work is relative to the current directory unless otherwise specified.

Note when writing to folder

You will need to create folders before writing to them in most cases. Some write functions do provide folder creation functionality however.

In most cases, you should not need to create a custom file as Koinly can handle almost every csv and excel file out there. However, if your exchange or wallet does not have export functionality then you can follow these instructions to create your own.

Instructions

Select one of the templates below and click on the link to go to the Google Sheets page for it.

Click on File > Make a Copy in the top right corner (you will need a google account for this – if you don’t have one then click on File > Download > CSV to download the file and edit it using Excel or another tool)

Remove the sample data rows once you understand how to enter your own data.

When you have finished entering the data click on File > Download > Comma-separated values (CSV) to download the file and import it into Koinly.

1. For importing deposits/withdrawals/mining

This format is ideal for importing deposits and withdrawals from wallets/blockchains/mining pools etc. Basically anywhere you have incoming and outgoing transactions.

If you also need to import trades then you can use the second file format that we have created specifically for trades. You can also look at the Universal file format which will allow you to import all deposits/withdrawals/trades using a single file.

Sample data explained:

The first sample row in this file contains an incoming transaction of 20 BTC which is tagged as mining income.

The second row contains an outgoing/send transaction of 20 BTC.

Required fields:

Koinly Date, Amount, Currency

Optional fields:

Net Worth Amount, Net Worth Currency, Label, Description, TxHash

2. For importing Trades

This file is ideal for importing trades that are displayed using their market pair/side, instead of the amount you sent/received.

If your exchange shows you the amount you have sent and the amount you have received separately then you should look at the universal import format instead.

Sample data explained:

The first sample row in this file contains a trade of 1000 USD to 1 BTC with a fee of 5 USD on top. In other words: you are buying 1 BTC for 1000 USD + fee.

The second row contains a sale of 1 BTC for 900 USD with a fee of 3 USD on top. In other words, you sold 1 BTC for 900 USD + fee.

Required fields:

Koinly Date, Pair, Side, Amount, Total

Optional fields:

Fee Amount, Fee Currency, Order ID, Trade ID

3. Universal format

This format can be used for importing any kind of data. You have to specify the amount you are sending and the amount you are receiving on separate fields. This means you can use the file for deposits/withdrawals and even trades.

Sample data explained:

The first sample row in this file contains a trade of 1000 USD to 1 BTC with a fee of 5 USD on top. In other words you are buying 1 BTC for 1000 USD + fee.

The second row contains an outgoing/send transaction of 0.5 BTC.

The third row contains an incoming transaction of 1 BTC from mining.

Required fields:

Date, Sent Amount, Sent Currency, Received Amount, Received Currency

Optional fields:

Fee Amount, Fee Currency, Net Worth Amount, Net Worth Currency, Label, Description, TxHash

Fields explained:

Decimal separators

Always use the dot separator, we do not support comma separators. Ex: 0.55 BTC is good and 0,55 BTC is bad.

All date fields must be formatted like this: YYYY-MM-DD HH:mm:ss. For ex. if you want to enter 5th Jan 2019 the date will be 2019-01-05. All dates should be in UTC.

Order ID / Trade ID

Entering both an order ID and a Trade ID will allow Koinly to group trades for the same Order (Avalanche Trades).

Net worth amount & Currency

You can set these if you know what the market rate of the transaction was at the time of the transaction. If it is empty Koinly will determine the market rate automatically. Read more about market prices on Koinly here.

The Net worth amount/currency are ignored if you bought or sold some coins using a fiat currency, in such cases Koinly will use the fiat as the market value instead.

The Net worth currency must be a fiat currency like USD, EUR, GBP etc. The net worth amount should NOT include the value of the fee. If you have paid fees in a different cryptocurrency and want to specify the exact worth of the fee as well, you can use the Fee Worth and Fee Worth Currency columns instead.

Fee amount & Currency

These are the fees you paid when trading and can be in any fiat or crypto currency. Fees can not be added to incoming or outgoing transactions. If you paid a transfer fee, Koinly will calculate it automatically when it matches an outgoing txn to an incoming txn on another wallet. Only use this field for entering trading fees.

Ex. if you bought 1 BTC for 100 USD and paid a 10 USD fee enter this as: 100 USD Sent, 10 USD Fee, 1 BTC Received or as 110 USD Sent, 1 BTC Received and no fee – both are the same. Just don’t enter fee if it’s already included.

Labels

Labels can be added as appropriate. For regular deposits/withdrawals/trades, no label is required.
Koinly allows the following labels for outgoing transactions:

How to create a csv file

What is a CSV file?

CSV (Comma Separated Values) file is a plain text file that contains a list of data. These files are often used for exchanging data between different applications. For example, databases and contact managers often support CSV files. These files may sometimes be called Character Separated Values or Comma Delimited files. They mostly use the comma character to separate (or delimit) data, but sometimes use other characters, like semicolons.

You can export complex data from one application to a CSV file, and then import the data in that CSV file into another application.

How to import CSV files into Gmail?

If you want to convert your contacts (VCF file) to a CSV file and import it into Gmail:

How to create a csv file

  1. Download VCF to CSV Converter and run the application.
  2. Click “Load vCards from VCF File” button and select your VCF file.
  3. Click “Export to File” button.
  4. Select “Comma-Separated Values File”.
  5. Select “Google CSV Format“.
  6. Go to Gmail Contacts.
  7. Import the CSV file into Google Contacts. That’s all!

How to create a csv file

Alternatively, if you want to create a CSV file for your contacts manually:

  1. Create a new document in Microsoft Excel (or LibreOffice Calc).
  2. Add a column heading for each piece of information you want to record (for example, first name, last name, email address, phone number), and then type the information in the appropriate columns.
  3. Select File > Save As.
  4. Use the drop-down box to select CSV (Comma delimited) (*.csv), give your file a name, and then select Save.
  5. Save your Excel file as a CSV file.
  6. You can now use this new CSV file to import your contacts into Gmail.

Download Sample CSV file for importing contacts into Google.csv

To convert CSV file to Excel columns, actually, you can handle it through three different methods. In this article, I will talk about these two methods for you.

The most usually used method must be opening CSV file directly through Excel.

1. Click File > Open > Browse to select a CSV file from a folder, remember to choose All Files in the drop-down list next to File name box. See screenshot:

2. Click Open, and the CSV file has been opened in the Excel.

Tip. If you have Kutools for Excel, you can apply its Insert File at Cursor utility to quickly insert a CSV file or text file or Excel file or PRN file to the cell which cursor places.

Note:

But sometimes, there are some data with special formats such as the leading zeros in the CSV file, these special formats may be lost if the CSV file is opening through Excel as below screenshot shown. In this case, you need to use below method.

To keep the format of the contents CSV file, you can use the From Text utility to import the CSV file.

1. Select a cell which you will insert the CSV file and click Data > From Text. See screenshot:

2. In the Import Text File dialog, select a file you need to import. See screenshot:

3. Click Import, and a dialog of Text Import Wizard opens, check Delimited option and click Next to go to step 2 of the Wizard, and then check Comma. See screenshot:

4. Click Next and select the column with special formats in the Data preview and check a format for it in Column data format section, then one by one to format the columns, also, you can skip the columns you do not need by checking the Do not Import column (skip) option. See screenshot:

5. Click Finish and select a place to output the result. See screenshot:

6. Click OK. Now the CSV file has been inserted.

The SharePoint Migration tool (SPMT) lets you to bulk upload your migration task information by using either a JSON or CSV file. This method helps if you’re creating a large number of tasks.

Use a CSV file for bulk upload

Use any text editor, or an application like Microsoft Excel, to create the CSV file. The first three columns are source values that detail where your data is currently located. The remaining three columns indicate the site, document library, and optional subfolder where you’re migrating your data.

Example: Here’s an example of the CSV file format. The first row shows files that are being migrated from a local file share to SharePoint. The second row shows files that are being migrated from an on-premises SharePoint Server site to SharePoint in Microsoft 365. The third row show files that are being migrated from a local file share to OneDrive.

The following example shows how it would look in a .txt file.

Before you begin

  • Enter one migration source and destination per row. Account for all six columns in your file.
  • Do not include a header row in your CSV file. The example shown above included headers to demonstrate the order of the fields.
  • Remember to account for all six columns in the file, even if you don’t need a value for a given field.
  • If you use the standard out-of-the-box document library (“Shared Documents”), you must use the internal name “Documents” as the placeholder value for the Source Document Library (column B) in your CSV file. If you enter “Shared Documents” in that column, you’ll get an “invalid document library” error.
  • If the language of the destination SharePoint site isn’t English, check the internal name of the “Shared Documents” Document library at https://contoso.sharepoint.com/sites/SampleSite/_layouts/15/viewlsts.aspx?view=14.

Column definitions

Column content Description
Column 1 “Source” Required. Enter an on-premises SharePoint Server site URL or the path to a local file share. For SharePoint Server 2013 and 2016, you can also use the log-in name or the SID in this column.
Column 2 “Source DocLib” Optional. Enter the name of the SharePoint Server document library that you’re migrating. If you leave this field empty, all document libraries will be migrated. This column needs to be empty when migrating from a local file share.
Column 3 “Source SubFolder” Optional. Enter the name of the subfolder in the document library. If this column is left empty, the migration starts from the root. If there’s a value in this column, the migration starts from the subfolder. This column needs to be empty when migrating from a local file share.
Column 4 “Target Web” Required. Enter the destination SharePoint site URL where the files are to be migrated.
Column 5 “Target DocLib” Required. Enter the name of the document library with the SharePoint site where the files are to be migrated.
Column 6 “Target SubFolder “ Optional. Enter the name of the subfolder in the document library. If this column is left empty, the files will be moved to the root level.
Column 7 “RegisterAsHubSite” Optional. To register a site as a hub site after migration, enter the name of hub site and leave the next column, AssociateWithHubURL, blank. For SharePoint site migration only.
Column 8 “AssociateWithHubURL” Optional. To associate the site to another hub site, enter the URL of an existing hub site. In this case, column 7 “RegisterAsHubSite” is left blank. For SharePoint site migration only.

Hub site association: Registering and associating hubsites occurs at the final stage of the migration. If you terminate a task before it completes, the hub site work may not be performed. SPMT will not change the hub association if it finds the site is already associated to a hub site. A site will not be -“un-registered” if it already registered as a hub site.

Use a JSON file for bulk upload

The following example shows the JSON file format that you can use to migrate your data.

As with a CSV file, the minimum required values are Source, Source DocLib, Target Web, and Target DocLib.

PDF spreadsheets can be difficult to edit and upload. Learn how you can quickly convert your spreadsheets from PDF to CSV.

CSV is a popular spreadsheet file format that isn’t dependent on any particular software. The same goes for PDFs, but with one crucial difference — PDF files can be difficult to edit or upload to certain systems. An easy solution is to first convert your PDF to a CSV file.

This quick tutorial teaches you how to convert any PDF file into a CSV with Adobe Acrobat DC.

Turn your PDFs into editable spreadsheets.

Instead of going directly into CSV, it’s a good idea to first convert your PDF to an Excel file. CSV formatting is rather sensitive, and doing a slight detour lets you eliminate any possible formatting errors. Here’s how it works:

  1. Launch Acrobat and open your PDF file.
  2. Select the Export PDF tool from the menu bar on the right.
  3. Select the Excel file format from the Convert To drop-down menu.
  4. Select the Convert button.
  5. Name your Excel file and select Save.

You can now open your new Excel file and check that all the data displays correctly. Once everything looks correct, simply save your spreadsheet as a CSV file and you’re done.

Up your PDF game.

With Acrobat, you can convert your PDFs to many other file formats, from Word to picture files. You can also edit and reorganize PDFs, add text and comments, and much more.

Explore everything you can do with Acrobat DC today.

Just programming

To create a CSV file in PowerShell, you can use the following set of commands:

This is how it looks like inside PowerShell.

How to create a csv file

The first line creates a file and the second one adds three values: First Name, Last Name, Age.

If you open a file in a text editor, the three values are going to be separated by a delimiter. In our case, it’s a comma.

Since the CSV file is just a text file separated by a delimiter (comma in our example), you can easily open this file in a text editor.

It’s the exact text we typed in the terminal.

How to create a csv file

If you try to add another text with the Set-Content cmdlet, the value that you added earlier will be overwritten at the first line.

Instead, we are going to use a different cmdlet, called Add-Content.

Two new rows are added. Each row is added after the previous one. Therefore the rows are inserted into rows 2 and 3.

How to create a csv file

You can open this file in Excel, and you are going to get each value separated by a comma inside a different cell unless you changed the default separator.

Create the file using the foreach loop

Instead of inserting one line per one command, you can use the foreach loop. First, you have to use Set-Content to create a file and add a header, then it adds values from the list using the foreach loop.

The result of this example is the same as before.

How to create a csv file

Checking the CSV file

We created a CSV file. Now, we can check its structure with the Import-CSV cmdlet.

The contents of the file are printed on the terminal, so we can be sure that the structure is correct.

Marshall is a writer with experience in the data storage industry. He worked at Synology, and most recently as CMO and technical staff writer at StorageReview. He’s currently an API/Software Technical Writer based in Tokyo, Japan, runs VGKAMI and ITEnterpriser, and spends what little free time he has learning Japanese. Read more.

How to create a csv file

A Comma Separated Value (CSV) contains data separated by commas (and sometimes other characters) and is generally used to exchange data from one application to another. If you have a list of data in a Word document, converting it to a CSV file can help you get it into other apps.

Let’s say you’ve been keeping all of your email contacts organized in a Word file and you’d like to let an online application clean it up for you. You’re likely going to need a CSV file to achieve this. In fact, several of these applications you’d find online may only support CSV files because the file works across the Mac, Windows, and Linux platforms. Pretty efficient.

Go ahead and open the Word file that contains the data to be imported. In this example, we’re going to be showing a very small email list.

How to create a csv file

As you can see, all of our data is separated by commas and are on separate lines, similar to the row/column structure you’d find in Excel. The structure of a CSV file can get a bit complicated, but this is a very basic example.

Once you’re ready, click the “File” tab located at the top-left of the window.

How to create a csv file

In the pane on the left-hand side, select “Save As.”

How to create a csv file

Select the “Plain Text” file type from the list of options. This will save your file as a TXT file. Click “Save.”

How to create a csv file

Once you save, you will receive a warning message stating that saving as a text file will cause formatting, pictures, and objects in your file to be lost. With a simple file such as this, we have nothing to worry about. Leave everything as is and click “OK.”

How to create a csv file

Now, let’s open up Microsoft Excel. When you open Excel, select “Open” in the left-hand pane.

How to create a csv file

Locate the recent file that we saved as a TXT file. Note that you might have to select “Text File” from the file option type drop-down when browsing or else the file will not appear. By default, Excel will only show Excel files.

Once you’ve selected the file and clicked “Open,” the Text Import Wizard window will appear. Here, make sure that the “Delimited” option is selected. You can also choose the row at which your data begins. We will keep ours on the first row. When you’re ready, click “Next.”

How to create a csv file

In the next window, make sure you select “Comma” in the Delimiters section. You’ll notice a change in the preview window. When you’re ready, click “Next.”

How to create a csv file

In the final window, you’ll need to specify the column data format. We’ll leave ours at “General,” but depending on what type of data you’re importing, you might want to choose a different option. When you’re ready, click “Finish.”

How to create a csv file

Our data should now be successfully imported and neatly organized in Excel!

How to create a csv file

Now all that’s left is to save the file as a CSV file. Head over to the “File” tab.

How to create a csv file

Select “Save As” in the left-hand pane.

How to create a csv file

In the file type box, you’ve probably noticed there are three different types of CSV files. They are as follows:

  • CSV UTF-8
  • CSV (Macintosh)
  • CSV (MS-DOS)

There is very little difference between the first and third option. You’ll want to select the second option if you’re a Mac user. In this example, though, we’ll be selecting the “CSV (MS-DOS)” option.

How to create a csv file

Now all that’s left to do is click “Save.” You’ve now successfully converted your Word file to a CSV file.

November 13, 2020

In this article, I will take you through how to create a CSV file using the Python programming language. CSV means Comma Separated Values, we use it for storing the data that we need to use for further analysis.

If you are learning machine learning or maybe data analysis then you must have seen that most of the tasks we do in Machine Learning start by importing a CSV file. So if you are working with a CSV file then it is also important to know how to create one while doing analysis.

CSV File Using Python

To create a CSV file using Python we only need one library that is Pandas. Almost all the tasks related to data handling and data processing are done using pandas in Python.

Let’s see how to create a CSV file using Python pandas. To write something in a CSV file we first need to create a Python dictionary:

Now the next thing that we need to do is to create a pandas Data Frame by using our dictionary. We can use the pandas.DataFrame method for this task:

Now as we have created a data frame by using our dictionary we can now easily transfer this data to a CSV file:

Now after executing the code above you can have look at the directory in which working on you will find the CSV file saved as “Data.csv”.

As you can see I only created the data and simply transferred into a CSV file, this is how these files are created by using a lot more data that we use in tasks like Machine Learning.

I hope you liked this article on how to build a CSV file by using the Python programming language. Feel free to ask your valuable questions in the comments section below.

Introduction

A few months back, I presented a paper at SQL Saturday 327 in Johannesburg, South Africa. Late last month I received an email from one of the attendees. His issue was quite interesting and I decided to share it with you. The gentleman wanted a SSIS script that would permit him to extract data from a SQL Server database table and place it in a CSV file with a dynamically allocated name. Being a strong advocate of using the SSIS toolbox, I experimented with an alternative solution. We are going to construct THIS SOLUTION in today’s get together.

Let’s get started.

Getting Started

As our point of departure, we shall once again utilize our ‘SQLShackFinancial” database. We shall utilize data from the FASB table (see below).

How to create a csv file

Our end goal is to obtain the following output:

How to create a csv file

The astute reader will note that the csv file name contains the date and time on which the file was created.

Opening Visual Studio we begin by creating a new Integration Services project.

How to create a csv file

We select New and Project (see above).

How to create a csv file

We select an Integration Services project and give our project a name. We click OK to create the project.

How to create a csv file

We find ourselves on our Integration Services project workspace (see above).

Our first task is to create a data connection to our SQLShackFinancial database.

Creating the database connection

How to create a csv file

We begin by right clicking in the “Connection Manager” box and selecting a “New OLE DB Connection” (see above).

How to create a csv file

The “Configure OLE DB Connection Manager” dialogue box is brought up. We select “New” (see above).

How to create a csv file

The “Connection Manager” dialogue box is now brought up and we configure this box as shown above.

How to create a csv file

Testing the connection, we find that we are ready to go.

We now add a Data Flow Task to our work surface (see below).

How to create a csv file

Double clicking on the “Data Flow Task” we are brought into the “Data Flow Task” designer (see below).

How to create a csv file

We now add an “OLE DB Data Source” to our work surface (see below).

How to create a csv file

Double clicking on the “OLE DB Source” brings up the “OLE DB Source Editor” dialogue box.

How to create a csv file

We configure our connection manager to point to the FASB table (see above).

How to create a csv file

The columns tab shows the data columns within the table (see above).

Adding and configuring the destination csv file

We are now in a position to add the destination flat file which will contain the table data in a csv format.

How to create a csv file

We drag a “Flat File Destination” control onto our work surface (see above) and join the “OLE DB” data source to the “Flat File” destination (see below).

How to create a csv file

Double clicking the control brings up the “Flat File Destination” editor (see above). We click “New” to create a new connection.

How to create a csv file

The “Flat File Format” dialogue box is brought into view (see above and to the left). We accept the “Delimited” radio button. Click OK.

How to create a csv file

The “Flat File Connection Manager Editor” is then brought up. We are asked for a “Description” (which is optional) but more importantly we are asked for an output file name.

How to create a csv file

We give our output file the name “FASB_” and set its type to csv (see above). We click “Open”.

How to create a csv file

Clicking the “Columns” tab, we see that the fields from our table are visible. We click OK to exit this dialogue box and then click on the “Mappings” tab to configure the source to the destination (see below).

How to create a csv file

We click OK to exist the “Flat File Destination Editor”.

How to create a csv file

We now find ourselves back on our working surface. THE ISSUE is that in creating the flat csv file we have hard-wired the file name is this is NOT what we want.

Creating a dynamic file name for our output file

How to create a csv file

We begin by right clicking on our output file connection and bringing up its “Properties” box (see above and to the bottom right).

How to create a csv file

We scroll down to find the “Expressions” property (see above and to the bottom right).

How to create a csv file

Clicking on the “Expressions” ellipsis the “Property Expresssion Editor” is brought up(see above).

How to create a csv file

We select the “Connectionstring” Property from the “Property” dropdown list (see above) and click upon the “Expression” box.

How to create a csv file

The “Expression Builder” dialogue box is brought into view (see above).

How to create a csv file

In the “Expression” box, we enter the following code snippet. Adding a time component (to the string) enables us to produce multiple daily extracts.

How to create a csv file

Data formatting can get mixed up when you open a data file with CSV format. In this article, we are going to show you how to avoid formatting change in CSV files in Excel.

If you need to prevent numbers from changing into dates when entering data, please see How to stop excel from changing numbers to dates.

Excel applies formatting updates when opening CSV files, and you won’t get a prompt to prevent this. You need to import the data in the CSV file. By importing the data, you will gain the ability to select the data type before parsing it. You do not need to select anything if you have a Microsoft 365 subscription or Excel 2019. The newer versions detect the data automatically.

Microsoft 365 or Excel 2019

Avoiding formatting change on CSV on Microsoft 365 or Excel 2019 is fairly easy.

  1. Activate the Insert tab in the Ribbon
  2. Click From Text/CSV in the Get & Transform Data section
  3. Select your file
  4. You will see the preview of your data
    1. Either click Load to import the data
    2. Or, use Transform button to open Power Query Editor and modify your data before parsing

How to create a csv file

You will see your data without any changes to formatting.

How to create a csv file

Excel 2016 – Excel 2010

In previous Excel versions, you can use the Text Import Wizard with text strings. To avoid formatting change on CSV, you first need to set data format manually.

  1. Activate the Insert tab in the Ribbon
  2. Click From Text/CSV in the Get & Transform Data section
  3. Select your file
  4. Move to the Step 3 by Next. Make sure that comma as delimiter is selected
  5. In the 3 rd step, select the columns where you’d like to keep the formatting
  6. Mark the Text option as a Column data format
  7. Click Finish to complete parsing

How to create a csv file

In this article, I am going to show you how to export a CSV from Google Sheets. If you have data in a Google spreadsheet that you want to use to create / download a CSV, Google Sheets has a very easy way of converting your spreadsheets into CSV files.

To export a CSV from Google Sheets, follow these steps:

  1. Open the Google spreadsheet that contains the data that you want to export
  2. Click on the tab that has the data to be exported (CSV files only contain one spreadsheet tab)
  3. On the top toolbar, click “File”. A drop-down menu will appear
  4. Click “Download”, and another menu will appear
  5. Click “Comma-separated values (.csv, current sheet)”

After following the steps above, the data from the selected tab of your Google spreadsheet will be exported into a CSV file that will download directly to your computer’s “Downloads” folder.

Below you can find detailed instructions on how to export a CSV, including images that demonstrate the process.

Below you can find detailed instructions on how to export a CSV, including images that demonstrate the process.

Now that you know how to export a CSV, you may also be interested in learning how to import a CSV. Click here if you want to learn how to import a CSV file into a Google spreadsheet.

What a CSV file is

CSV files are the most common spreadsheet file format, and can be opened by nearly any spreadsheet program including Google Sheets and Microsoft Excel.

CSV files have the file extension, “.csv”.

CSV stands for “Comma-separated values”.

How to export a CSV file from Google Sheets

If you want to create a CSV file from a Google spreadsheet, you can do this by downloading the current / active tab in a Google spreadsheet, as a .csv file.

This will automatically convert your data into a CSV file that is downloaded directly to your computer.

  • Make sure that you first select the Google spreadsheet tab that contains the data you would like to export, since only the selected tab will be exported / downloaded to the CSV file
  • Then after you have selected the correct tab to export, click “File” on the top toolbar menu. A drop down menu will appear when you do this
  • In the menu that appears, Click / hover your cursor over “Download”, and this will cause another menu to appear
  • Click “Comma-separated values (.csv, current sheet)”

How to create a csv file

After the file downloads, you will see a link to the CSV file at the bottom of your internet browser, and the file itself can be found in your “Downloads” folder.

By mkyong | Last updated: December 28, 2020

Viewed: 784,755 (+1,525 pv/w)

How to create a csv file

This article shows how to write data to a comma-separated values (CSV) file.

Note
The RFC 4180 defines the format or definitions of a CSV file or text/csv file.

1. OpenCSV – Write data to CSV file

1.1 The OpenCSV is a easy to use CSV Parser and Writer.

1.2 This OpenCSV example uses CSVWriter to write a List to a file.

Review the newly created CSV file. By default, all fields are enclosed in double-quotes, and the default separator is a comma.

1.3 This OpenCSV example shows the use of custom separator, semicolon ; .

1.4 This OpenCSV example test the common embedded issues in CSV files – embedded comma, double quotes and line breaks. Read RFC 4180.

Review the CSV file content. All the embedded commas, double quotes, and line breaks are enclosed in double-quotes.

2. Single class CSV writer – Write data to a CSV file

2.1 The OpenCSV library is good, but it contains many dependencies, which let me wonder if we really need a third party library to write data to a CSV file, it’s up to your preference.

2.2 However, below is my single class CSV writer implementation. It supports a custom separator and takes care of the embedded commas, double quotes, and line breaks. Read code comments for self-explanatory. The key is in the method formatCsvField(final String field, final boolean quote) , which defines how to format the CSV fields.

Review the CSV file content. The embedded commas, double quotes, and line breaks are enclosed with double quotes properly. The output is the same as the above OpenCSV 1.4 example.

3. Single class CSV writer – Unit Tests

Here are some unit tests for the the above CsvWriterSimple .

How to create a csv file

P.S Let me know if you found bugs in the CsvWriterSimple .

How to create a csv file

Apache Parquet

Apache Parquet is a columnar data storage format, which provides a way to store tabular data column wise. Columns of same date-time are stored together as rows in Parquet format, so as to offer better storage, compression and data retrieval.

What is Row Oriented Storage Format?

In row oriented storage, data is stored row wise on to the disk.

How to create a csv file

For example above table has three columns of different data types (Integer, String and Double). This table will be saved on disk row wise in row oriented storage format as following-

Columnar Storage Format

In columnar storage format above table will be stored column wise.

As you can see in this format all the IDs are together and so are names and salaries. A Query selecting Name column will require less I/O time as all the values are adjacent unlike in row oriented format.

Actual implementation of columnar format for Apache Parquet is defined here.

Using Apache Parquet

Using Parquet format has two advantages

  1. Reduced storage
  2. Query performance

Depending on your business use case, Apache Parquet is a good option if you have to provide partial search features i.e. not querying all the columns, and you are not worried about file write time.

Apache Parquet format is supported in all Hadoop based frameworks. Queries selecting few columns from a big set of columns, run faster because disk I/O is much improved because of homogeneous data stored together.

To use Apache spark we need to convert existing data into parquet format. In this article we will learn to convert CSV files to parquet format and then retrieve them back.

CSV to Parquet

We will convert csv files to parquet format using Apache Spark. For Introduction to Spark you can refer to Spark documentation.

Below is pyspark code to convert csv to parquet. You can edit the names and types of columns as per your input.csv

Above code will create parquet files in input-parquet directory. Files will be in binary format so you will not able to read them. You can check the size of the directory and compare it with size of CSV compressed file.

For a 8 MB csv, when compressed, it generated a 636kb parquet file.

The other way: Parquet to CSV

You can retrieve csv files back from parquet files.

You can compare the original and converted CSV files.

You can provide parquet files to your Hadoop based applications rather than providing plain CSV files.

For more information about parquet schema and performance comparisons with other storage formats you can refer to Parquet official docs.

Hey, Scripting Guy! How can I create a CSV file?

Hey, LF. For those of you who aren’t up on your acronyms, CSV is short for comma-separated-values file, a text file in which individual elements are separated by commas. For example, say you have a CSV file consisting of user first names, last names, and job titles; that file might look something like this:

Incidentally, at Microsoft we love acronyms. The other day, for example, the Scripting Guys were sent a three-sentence product description that contained 11 acronyms. Our personal favorite – used extensively around here – is OOF, which is somehow short for O ut O f O ffice.

No wonder we felt the need to add a spellchecker to all our products.

But back to your question. How can you create a CSV file all your own? That’s easy: just use the FileSystemObject. After all, that’s what it’s here for.

Let’s take a look at a very simple demonstration script, then we’ll take a look at a more practical example. Here’s a sample script that writes the string A,B,C to a text file named Test.csv:

We start out by defining a constant named ForWriting and setting the value to 2; any time you use the FileSystemObject, you need to use the appropriate constant, depending on whether you want to read from, write to, or append a file. We create an instance of the FileSystemObject, then use the CreateTextFile method to create a new text file named Test.cvs. (Notice that we did not specify a path; that means that the text file will be created in the same folder as the script. Had we wanted to, we could have specified a complete path, like C:\Scripts\Logfiles\Test.csv.)

When we call the CreateTextFile method, we simultaneously create an object reference to the new file; in our script, we named that object reference objLogFile (although we could have called it anything we wanted). With the object reference in hand, we can then use the Write method to write data to the file. Notice that we begin by writing the string A, (and, yes, we must manually include the commas when creating a CSV file). The Write method writes the specified data (in this case A, ), and then leaves the cursor in place. Because of that, when we next call this method the string B, is tacked on right next to the A, . As a result, our text file looks like this:

We call the Write method a third time, and write C . Because this marks the end of the line, we don’t append a comma after it; instead, we call the WriteLine method, which is equivalent to hitting ENTER on the keyboard. That gives us a text file that looks like this:

Note that there are no spaces between commas and the start of the next item. When one item ends, the next begins right away.

Now let’s take a look at a more practical example. This script uses WMI to retrieve service information, then uses the FileSystemObject to write that information to a text file named Service_List.csv:

As you can see, we use the same exact technique used in our demonstration script. The biggest difference is that we aren’t using hard-coded values like A, B, and C. Instead, we’re using variables like objService.Name. That’s not a problem, we just use the variable as the parameter to the Write method. But because these are variables, we can’t enclose them and the following comma in double quotes. A line of code like this will not work:

Instead, we specify the variable (objService.Name), and then use the ampersand to tack a comma (“,”) to the end. We do the same thing for the StartMode but not for State; that’s because State is the last item on each line. Consequently, we use WriteLine to press ENTER and start a new line in the file (the same way we sued WriteLine after the letter C in our first example). Because we do this within a For Each loop, we’ll end up writing this information for each service installed on the computer.

The net result is a text file that looks like this:

Although we could have cut down the number of lines of code slightly (by concatenating all our variables and what-not) writing the code in this fashion makes it pretty easy for you to see what’s going on. It also makes it easy for you to add new items to each line. Want to include the service PathName? Then just add a line of code like this:

One more thing: When you’re working with WMI, the preceding script will likely handle all your needs. When working with other scripting technologies, however, you might encounter a problem with data that includes commas. For example, suppose you have a text file of users, their office addresses, and their job titles. One user has an address of 2049 , but another has an address of 2050, Suite A . Your subsequent text file looks like this:

Yikes! We have a problem: our first line contains four fields (remember commas indicate the end of one field and the beginning of the next): Ken / Myer / 2049 / Accountant. Unfortunately, because of the comma in the address itself, our second line has five fields: Pilar / Ackerman / 2050 / Suite A / Vice-President. Uh-oh ….

How do you deal with embedded commas like this? The secret is to surround each field with double quotes; if your text file looks like this, the embedded commas are ignored:

And how do you surround your fields with double quotes. Here’s another sample script that uses the function Chr(34) to write a double quote mark, writes a service property (such as objService.Name), uses Chr(34) to write another double quote mark, and only then tacks a comma on the end.

For more information, check out this portion of the Microsoft Windows 2000 Scripting Guide. And we already know your next question: how do you read a CSV file using a script? For the answer, take a look at this Scripting Clinic column on reading text files using ADO.

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Hi Friends, in this article, we will load data from the CSV file into oracle using SQL loader. SQL Loader is a tool which is providing by oracle.

What is SQL Loader?

SQL Loader helps us to load data from external files into tables of the oracle database. For more details Click Here.

Load data in empty or non-empty table

We can load data in the empty or non-empty table of the oracle database using the below parameters in SQL Loader.

Note:- The SQL Loader is not working on existing data.

  1. INSERT
  2. APPEND
  3. REPLACE
  1. INSERT : This is the default option which is just insert the data in empty table, if table is not empty the SQL Loader is exit with an error “Table is not empty”.
  2. APPEND : If table is not empty, the SQL*Loader appends the new rows and if the data is not exist in the table then new rows are simply loaded.
  3. REPLACE : Just delete all the rows and loaded new rows in the table.

Load Data from CSV to ORACLE TABLE using SQL LOADER

Step 1. Save your excel file in CSV format, in my case, I have a test.csv file.

Step 2. Create a table as per your requirement. The table name is data which has three columns.

Step 3. After table creation now we need to create a control file to load data from non-oracle into the oracle table.

How to create a csv file

Step 4. Now run the SQL LOADER using the below command.

Output from the above query

Now login to the database and check records in the table.

How to create a csv file

You can see the records have been inserted into the table.

In another case if you want to load more data into the same table so just replace INSERT into APPEND or if you want to change all data then use the REPLACE into the command.

Load data from CSV file into oracle using SQL Loader

How to create a csv file

Backing up your phone contacts can be extremely useful, especially if you need to add the details to a database, or simply for your peace of mind. If you’re wondering how to export Android contacts to a .csv file, to use with Excel or import to Apple devices, don’t worry. It’s very straightforward.

The easiest way to export your Android contacts to an Excel or a CSV file is to use an app like Covve (free). All you need to do is download Covve from the Play Store, sign-up and then click export in settings. Here is some guidance:

2. Open the Covve app and sign-up

3. Go to Profile>Settings>Export contacts and click Request export.

How to create a csv file

How to create a csv file

You will receive an email with your exported file after a few seconds, to use with Excel, keep a backup or import into another application. You can then repeat whenever you wish.

An alternative way is to export your contacts from Gmail. First make sure your phone contacts are already in sync with your Gmail account. If you have not synced your phone contacts to your Gmail account then you can click here to know “How to Sync Your Phone Contacts to Gmail”

If your phone contacts are already synced with your Gmail account then follow these steps:

1. On a laptop or computer, open your preferred browser (Chrome, Firefox, Safari etc).

2. Go to Google.com and sign in the top right hand corner.

How to create a csv file

3. Next to your profile picture you will see a square made up of smaller 3×3 squares. Click on this. It will show all the available Google applications.

How to create a csv file

4. Click on show more. You should be able to see ‘contacts’. Select contacts.

How to create a csv file

On Google’s current new version of Google Contacts you can’t actually export details. But, you can still go to the old version of Google contacts.

5. On the left hand side, above settings, click on ‘more’. You’ll see the option to ‘export. Click on it and when it asks if you’d like to go to the old version select yes.

How to create a csv file

6. You should then see a list of your contacts with checkboxes. Select the ones you want to backup, or click the checkbox at the top to select all if you prefer.

How to create a csv file

Once you have selected the contacts then click on the More icon at the top and Go to ‘Export’.

How to create a csv file

It will ask you if you want to export to a Google csv, Outlook csv or vCard. Select Outlook csv and click ‘Export’.

How to create a csv file

The file should now be downloaded to your downloads folder for you to open in Excel or any other content management system (CMS). If you would like to edit contacts in the csv file you can find out how here.

Bonus: To add pictures to your contacts you can use an app like Covve. Covve scans over 100 sources for publicly available info such as pictures, company, job and social profiles. As long as your contacts have an email and there’s publicly available info for them, Covve will fetch it for you – find out more here.

Alternatively, for an even faster and simpler way, Android users can use Export contacts by Covve to export smartphone contacts in excel-compatible format.

A CSV file is a Comma Separated Values file. And it can be opened very easily in Microsoft Excel.

Most people use data files coming from main frame computers, or other external applications, and export the data in the CSV format, as it is easy to create, access and use. The other alternative is to create a Excel file (ending with .xls or .xlsx extension), but it is quite difficult to achieve in most legacy applications.

Thus, the CSV format has come to stick, and is one of the most popular methods to transfer data from one application to another.

Microsoft Excel has the capability to read and create CSV files easily.

In Excel, you can write text in a any worksheet cell, and it can span into many lines. Sometimes, if you have a long comment, you can split it into different row lines also.

Want to Improve Your Excel Skills?


How do you create a CSV file, which contains a long line, split into multiple rows?

Simply use Quotation marks to enclose the data which spills into multiple lines. see below:

Department, Status
Manufacturing,“No new issues.
Previous issues need to
be addressed”
Sales, “No issues”.

Once you load such a file into Excel, it will automatically show the complete data, in a single cell.

That’s it… it is such a simple and neat trick.. and helped me numerous times..

How to create a CSV file in SSIS( 2016 and 2019) which will have 2 Table resultset ?

How to create a CSV file in SSIS( 2016 and SSIS 2019) which will have 2 Table result set in a single CSV file ?

Table 1 is Header record

Table 2 is Detail record

Attached below is the expected Output.

The CSV file will be used for import process in a system. The file has 2 datasets coming from 2 tables and are required to be clubbed as shown in the expected o/p screenshot.

How to create a csv file

Do you mean to export data from two tables to one CSV file with two sheets?

Thanks ,Just one csv sheet

3 Answers

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1.Please drag a Data Flow Task and load data from source table1 to Recordset Destination which can store data in object variable;
2.Then use Foreach Loop Container to read data from object variable and load data into a string variable;
3.Drag a Data Flow Task in the Foreach Loop Container and load data from source table2 to newtable2 in Flat File Destination;
4.Set the expression for [Flat File Destination].[Header] in properties of Data Flow Task2.

Please refer to the following pictures:
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How to create a csv file
Best Regards,
Mona

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