From this tutorial, you may be studying about Python checklist Count technique. You will see how one can apply it to sequences with the assistance of examples.
Note: The syntax used in the beneath part is for Python 3. You can change it to some other variations of Python.
List Count Method
The Count Module is a built-in checklist technique that means that you can depend on the occurrences of a selected factor in the sequence.
Its syntax is as follows:
List_name.depend(<factor>)
This technique counts the variety of cases of a component in an inventory. See the beneath instance.
>>> random_list = ["12", 12, (12, 13), 12, 12, 13, 'linux', 'osx', 'win7']
>>> random_list.depend(12)
2
>>> random_list.depend("12")
1
>>>
You may need to see that the output for string 12 was 2 and for the “12” was 1. It is as a result of the checklist solely counting the factor which matches the information kind and the worth of the parameter handed.
If a component (For instance – a quantity) will get enclosed in double quotes, then it will get handled as a string else as a numeric kind. To perceive this in-depth, we advocate you go over the tutorial on strings in Python.
How does the Count() perform work?
This technique takes a single argument as the entry which represents the factor whose prevalence is to be decided.
It iterates the checklist and counts the variety of cases that match and returns the full variety of dependencies.
Please word that the List depends technique returns 0 if it receives an invalid or non-existent parameter.
>>> random_list.depend(-1) 0 >>> random_list.depend(0) 0 >>> random_list.depend(1000) 0
The flowchart beneath makes an attempt to elucidate it in a diagram:
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