Use Of Map Function In Python
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Use Of Map Function In Python
Before continuing, we'll go over a few things you should be familiar with before. Num_list_squared = list(map(squared, num_list)) the map function took the first element from num_list, which is a 1, and passed it in as an argument to the squared function (since we passed that function in as the first argument to the map function). The map function accepts two parameters, the first of which is the function to be applied to the individual items in an iterable (list, tuple, set, etc.), and the second parameter is.
Lists are more flexible than sets since they can have duplicate objects. <<strong>map</strong> object at 0x7fb04a6bec18> {8, 2, 4, 6} explanation: Eg 1 11.split() returns [1, 11] the map function has two input arguments:
An iterator, for example, can be a list, a tuple, a set, a dictionary, a string, and it returns an iterable map object.
And the most notable one is the map() function. In the following example, two series are made from same data. You can send as many iterables as you like, just make sure the function has one parameter for each iterable. Often, using a generator expression over map function is.
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