Python zip5/7/2023 If you like the article please share and subscribe to keep us motivated. This was very basic introduction of these functions, you can read more about them in official documentation. Note: If we apply zip() function on multiple iterators then the iterator with the least items decides the length of the new iterator Zip can also take more than two list and zip them together to get the tupples. Just opposite of zip(), means convert the zipped values back to their initial form and this done with the help of the ‘*’ operator. Roll_no= # iterable 2 represent roll number We use zip() in various applications related to student databases, matrix problems, etc.Ī practical example related to the student database name= # iterable 1 represent name Syntax- zip(*iterators) Practical Application zip() So basically zip() function takes any number of iterable and returns a list of tuples, the first element of a tuple is created using the first element from each of the iterables, and so on. Lastly, we saw how to loop through and print the zipped data.Zip() is a built-in (built-in function are the function which are already define in programming framework) function. We saw how to zip two data sets and return their pairs using different data structures. In this article, we learned what the zip() function is and what it does in Python. We can loop through the zipped data by doing this: names = ("John", "Jane", "Jade", "John") In the same manner, we can also use dict and set but the data returned when we use set is likely to be unordered. This is the same as the last example, but instead of having tuple(zipped), we used list(zipped). Here's how: names = ("John", "Jane", "Jade") You can also return the data nested in a list. As you can see above, each item at a given index was paired with another item in the same index from the other data set. I have commented the output of the code: (('John', 2), ('Jane', 4), ('Jade', 6)). We stored our zipped data in a variable called zipped and while printing it, we nested it in a tuple: print(tuple(zipped)). This is because we have to say what data structure it will be zipped into. We then used the zip() function: print(zip(names, ages)).īut we are not actually getting the paired data returned to us. In the code above, we created two tuples – names and ages. The return value is a list of tuples where the items of each passed iterable at same index are paired together. Here is an example to demonstrate how it works: names = ("John", "Jane", "Jade") Here is the syntax for the zip() function in Python: zip(dataSet1, dataSet2. In this article, we'll see how to use the zip() function in Python with some examples. Let me break it down a bit more: the first item from the first data set gets paired with first item in the second data set, the second items in both data sets get paired with each other, and so on. It returns an object that contains the elements of the input iterables mapped based on the index. It groups these items in the order of their indexes. The zip () is a built-in function that takes one or more iterables as input. This returns an object containing pairs of items derived from the data sets. When you use the zip() function in Python, it takes two or more data sets and "zips" them together.
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