Python list to csv

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Python list to csv

In this article we will discuss how to import a CSV into list. This list can be a list of lists, list of tuples or list of dictionaries. We will also use pandas module and cover scenarios for importing CSV contents to list with or without headers. Python has a built-in csv module, which provides a reader class to read the contents of a csv file. We opened the file in read mode and then passed the file object to csv.

It returned an iterator, which can be used to iterate over all the lines of csv file. But we passed this iterator object to list function, which return a list of lists i.

python list to csv

For example, from the list of lists i. In the previous example, we loaded all rows including header into a list of lists. Suppose we want to read all rows into a list of lists except header. As Dataframe. So, we iterated over all rows of this 2D Numpy Array using list comprehension and created a list of lists. In above example, header of csv was skipped by default.

python list to csv

We opened the csv file in read mode and then passed the file object to csv. But we passed it into the map function as an argument along with tuple function as callback i. For each item in the input list it applies the function and stores the result in a mapped object. Then stored the returned tuple i. Then we converted this mapped object of tuples to a list of tuples i. Using list comprehension we iterated over each row of this 2D array and for each row we converted that to a tuple, then append it to a list.

DictReader function. But we passed this iterator to the list function, which returned a list of dictionaries i. An important point is, whenever we pass an iterable item to a list constructor i. In the end returns that list. Your email address will not be published. This site uses Akismet to reduce spam.

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Learn how your comment data is processed. Read a CSV into list of lists in python There are different ways to load csv contents to a list of lists, Import csv to a list of lists using csv.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service.

Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. How do I write it into a csv file so that my output csv file looks like.

Python's built-in CSV module can handle this easily:. This assumes your list is defined as aas it is in your question. You can tweak the exact format of the output CSV via the various optional parameters to csv. Using csv.

I decided to use pandas, it was faster and more easy to control and understand:. If for whatever reason you wanted to do it manually without using a module like csvpandasnumpy etc. Of course, rolling your own version can be error-prone and inefficient But sometimes writing your own can help you understand how they work, and sometimes it's just easier. If you don't want to import csv module for that, you can write a list of lists to a csv file using only Python built-ins.

How about dumping the list of list into pickle and restoring it with pickle module? It's quite convenient. I got an error message when following the examples with a newline parameter in the csv. The following code worked for me. Learn more. Writing a Python list of lists to a csv file Ask Question. Asked 7 years, 9 months ago. Active 9 months ago.

Viewed k times. How do I write it into a csv file so that my output csv file looks like 1. Active Oldest Votes. Python's built-in CSV module can handle this easily: import csv with open "output.

Update for Python 3 import csv with open "out. Amber Amber k 70 70 gold badges silver badges bronze badges. For Python 3 compatibility, remove the "b" from "wb". With Python 3 - open 'output.

I get an extra line if I omit the newline parameter. In python3 I had to use open 'output. WOW that python 3 error is very unhelpful. Thanks vladV a bytes-like object is required, not 'str'.

It kinda makes sense in hindsight, but not informative of where to look at all. It also means you should consider switching to Python 3. Akavall Akavall We are going to exclusively use the csv module built into Python for this task.

But first, we will have to import the module as :. We have already covered the basics of how to use the csv module to read and write into CSV files. Let's look at a basic example of using csv. When we run the above program, an innovators.

Here, we have opened the innovators. Next, the csv. The writer. If we need to write the contents of the 2-dimensional list to a CSV file, here's how we can do it.

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Here, our 2-dimensional list is passed to the writer. Now let's see how we can write CSV files in different formats. We will then learn how to customize the csv. By default, a comma is used as a delimiter in a CSV file. However, some CSV files can use delimiters other than a comma.

Suppose we want to use as a delimiter in the innovators. To write this file, we can pass an additional delimiter parameter to the csv. In order to add them, we will have to use another optional parameter called quoting.

Let's take an example of how quoting can be used around the non-numeric values and ; as delimiters. Here, the quotes. As you can see, we have passed csv. It is a constant defined by the csv module. We can also write CSV files with custom quoting characters.

python list to csv

For that, we will have to use an optional parameter called quotechar. Let's take an example of writing quotes. Notice in Example 5 that we have passed multiple parameters quotingdelimiter and quotechar to the csv. This practice is acceptable when dealing with one or two files. But it will make the code more redundant and ugly once we start working with multiple CSV files with similar formats.

As a solution to this, the csv module offers dialect as an optional parameter. Dialect helps in grouping together many specific formatting patterns like delimiterskipinitialspacequotingescapechar into a single dialect name. It can then be passed as a parameter to multiple writer or reader instances.

Instead of passing two individual formatting patterns, let's look at how to use dialects to write this file. From this example, we can see that the csv. Its syntax is:. The custom dialect requires a name in the form of a string. Other specifications can be done either by passing a sub-class of the Dialect class, or by individual formatting patterns as shown in the example. The advantage of using dialect is that it makes the program more modular.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service.

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I have learnt a few basics and decided to set myself the challenge of asking the user for a list of names, adding the names to a list and then finally writing the names to a. What would you do differently, i.

Writing data from a Python List to CSV row-wise

Would you approach the situation differently, structure it differently, call different functions? I am interested in, and would appreciate a great deal, the feedback from more experienced programmers. In particular, I find certain parts clunky; such as having to specify to the user the required format for data entry.

If I were to simply request the data name age location without the commas however, then each record, when written to. And the comments should rather be docstrings on line after function definition like in the following:. The latter is a typical pattern by the way, that is to use the singular of something plural, i. In general, plural version indicates list of some sort, whilst the singular version can be used within loops and similar. I'll end this hasty review with a very useful construct which could cleanup your code when you've created functions :.

Using this construct would allow for your code to be reused as a module later on, whilst still allowing it to be run directly from the command line. It also makes it very easy to understand what happens just skimming the code.

Sign up to join this community. The best answers are voted up and rise to the top. Writing lists to.

Asked 4 years, 9 months ago. Active 1 year, 11 months ago. Viewed 53k times. Andrew Hardiman Andrew Hardiman 1 1 gold badge 3 3 silver badges 9 9 bronze badges.

Active Oldest Votes. See example above. Why do you create the file, and not write to it directly? If you change the text, you don't need it. Using something similar to "Add another guest Name, age, location or 'Done': ".

The same applies to the location part. In general, don't add stuff you're going to remove immediately afterwards — That is I would most likely not add the Done guest for later removal, instead of adding it first and then removing it. Add a simple if in front of the append and the issue is avoided. This way you could possibly also give even more examples of legal input. Change into separate inputs — If you change to using the csv module, I would also change to three separate input statements, and possible do some simple validation on each of the inputs before adding them into the guest list.

I'll end this hasty review with a very useful construct which could cleanup your code when you've created functions : def main : """Main method used when called as a script.

Thanks again.Example : Given is a list of list —for example salary data of employees in a given company:. Your goal is to write the content of the list of lists into a comma-separated-values CSV file format.

Your outfile should look like this:. Before we dive into these methods in more detail, feel free to play with them in our interactive code shell. Do you want to develop the skills of a well-rounded Python professional —while getting paid in the process? You can convert a list of lists to a CSV file in Python easily—by using the csv library. This is the most customizable of all four methods. Now, you can write content to the file object f. Next, you pass this file object to the constructor of the CSV writer that implements some additional helper method—and effectively wraps the file object providing you with new CSV-specific functionality such as the writerows method.

You now pass a list of lists to the writerows method of the CSV writer that takes care of converting the list of lists to a CSV format. You can customize the CSV writer in its constructor e. Have a look at the specification to learn about advanced modifications. This is the easiest method and it allows you to avoid importing yet another library I use Pandas in many Python projects anyways. Think of it as an Excel spreadsheet within your code with rows and columns. The DataFrame is a very powerful data structure that allows you to perform various methods.

Again, think of them as the row and column indices in your Excel spreadsheet.

Python – Save List to CSV

Check out this article for a comprehensive list of all arguments. Even Pandas uses NumPy arrays to implement critical functionality. But no worries, you can reformat the output using the format argument fmt of the savetxt method more here. However, if possible you should rely on libraries that do the job for you. In the code, you first open the file object f. Then you iterate over each row and each element in the row and write the element to the file—one by one.

After each element, you place the comma to generate the CSV file format. Note : to get rid of the trailing comma, you can check if the element x is the last element in the row within the loop body and skip writing the comma if it is. To become successful in coding, you need to get out there and solve real problems for real people. Do you want to become a code master by focusing on practical code projects that actually earn you money and solve problems for people?

Then become a Python freelance developer! Join the free webinar now! Skip to content. Table of Contents.The so-called CSV Comma Separated Values format is the most common import and export format for spreadsheets and databases. CSV format was used for many years prior to attempts to describe the format in a standardized way in RFC The lack of a well-defined standard means that subtle differences often exist in the data produced and consumed by different applications.

python list to csv

These differences can make it annoying to process CSV files from multiple sources. Still, while the delimiters and quoting characters vary, the overall format is similar enough that it is possible to write a single module which can efficiently manipulate such data, hiding the details of reading and writing the data from the programmer. The csv module implements classes to read and write tabular data in CSV format. Programmers can also describe the CSV formats understood by other applications or define their own special-purpose CSV formats.

Programmers can also read and write data in dictionary form using the DictReader and DictWriter classes. The csv module defines the following functions:. Return a reader object which will iterate over lines in the given csvfile. The other optional fmtparams keyword arguments can be given to override individual formatting parameters in the current dialect. For full details about the dialect and formatting parameters, see section Dialects and Formatting Parameters.

Each row read from the csv file is returned as a list of strings. An optional dialect parameter can be given which is used to define a set of parameters specific to a particular CSV dialect.

Writing CSV files in Python

To make it as easy as possible to interface with modules which implement the DB API, the value None is written as the empty string. All other non-string data are stringified with str before being written.

Associate dialect with name. The dialect can be specified either by passing a sub-class of Dialector by fmtparams keyword arguments, or both, with keyword arguments overriding parameters of the dialect. Delete the dialect associated with name from the dialect registry. An Error is raised if name is not a registered dialect name. Return the dialect associated with name. This function returns an immutable Dialect. Returns the current maximum field size allowed by the parser.

The csv module defines the following classes:. Create an object that operates like a regular reader but maps the information in each row to a dict whose keys are given by the optional fieldnames parameter.

The fieldnames parameter is a sequence. If fieldnames is omitted, the values in the first row of file f will be used as the fieldnames. Regardless of how the fieldnames are determined, the dictionary preserves their original ordering. If a row has more fields than fieldnames, the remaining data is put in a list and stored with the fieldname specified by restkey which defaults to None.Aka Fallhans (1225th) 3 months ago View Gambit Gaming vs.

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