Found 10805 Articles for Python

Python has a function called defaultdict that groups Python tuple elements by their first element.Examplelst = [    (1, 'Hello', 'World', 112),    (2, 'Hello', 'People', 42),    (2, 'Hi', 'World', 200) ]from collections import defaultdictd = defaultdict(list) for k, *v in lst:    d[k].append(v) print(d)OutputThis will give the outputdefaultdict(, {1: [['Hello', 'World', 112]], 2: [['Hello', 'People', 42], ['Hi', 'World', 200]]})You can convert this back to tuples while keeping the grouping using the tuple(d.items()) method. exampleprint(tuple(d.items()))OutputThis will give the output((1, [['Hello', 'World', 112]]), (2, [['Hello', 'People', 42], ['Hi', 'World', 200]]))

Tuples are compared position by position: the first item of the first tuple is compared to the first item of the second tuple; if they are not equal, this is the result of the comparison, else the second item is considered, then the third and so on. example>>> a = (1, 2, 3) >>> b = (1, 2, 5) >>> a < b TrueThere is another type of comparison that takes into account similar and different elements. This can be performed using sets. Sets will take the tuples and take only unique values. Then you can perform a & operation that ... Read More

In this article, we will show you how to convert a Python tuple to a C array in python. Python does not have a built-in array data type like other programming languages, but you can create an array by using a library like Numpy. Below are the various methods to convert a tuple into an array in Python − Using numpy.asarray() method Use numpy.array() method If you have not already installed NumPy on your system, run the following command to do so. pip install numpy Convert tuple to array using numpy.asarray() Use the np.asarray() function to convert ... Read More

Python expects you to not mutate data when it returns some data. Tuples are also faster than lists. Tuples are generally used where order and position are meaningful and consistant. So for example, if you have a database driver in python and query for some data, you'll likely get back a list of tuples as the driver expects you to get the data and use it not mutate it. This also ensures that the data is in the same order as the fields you queried.

There is no concept of a tuple in the JSON format. Python's JSON module converts Python tuples to JSON lists because that's the closest thing in JSON to a tuple. Immutability will not be preserved. If you want to preserve them, use a utility like a pickle or write your own encoders and decoders.If you're using pickle, it won't store the Python temples in JSON files but in pkl files. This isn't useful if you're sending data across the web. The best way is to use your own encoders and decoders that will differentiate between lists and tuples depending on ... Read More

There is nothing like homogenous list in Python. The python docs just suggest to use lists for homogenous data. Qouting the docsLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).You can very well use lists for heterogenous data as well.

If you have a tuple of strings and you want to search for a particular string, You can use the in operator. exampletpl = ("Hello", "world", "Foo", "bar") print("world" in tpl)OutputThis will give the output −TrueExampleIf you want to check if there is a substring present. You can loop over the tuple and find it using:tpl = ("Hello", "world", "Foo", "bar") for i in tpl:    if "orld" in i:       print("Found orld in " + i )OutputThis will give the output −Found orld in world

You need to decode the bytes object to produce a string. This can be done using the decode function from string class that will accept then encoding you want to decode with. examplemy_str = b"Hello" # b means its a byte string new_str = my_str.decode('utf-8') # Decode using the utf-8 encoding print(new_str)OutputThis will give the outputHelloOnce you have the bytes as a string, you can use the JSON.dumps method to convert the string object to JSON. examplemy_str = b'{"foo": 42}' # b means its a byte string new_str = my_str.decode('utf-8') # Decode using the utf-8 encoding import json d = json.dumps(my_str) ... Read More

Every class is an object. It's an instance of something called a metaclass. The default metaclass is typed. You can check this using the is instance function. For example,class Foo:    pass foo = Foo() isinstance(foo, Foo) isinstance(Foo, type)This will give the output:True TrueA metaclass is not part of an object's class hierarchy whereas base classes are. These classes are used to initialize the class and not its objects.You can read much more in-depth about Metaclasses and inheritance on https://blog.ionelmc.ro/2015/02/09/understanding-python-metaclasses/

In this article, we will show you how to convert bytes to a string in python. Below are the various methods to accomplish this task − Using decode() function Using str() function Using codecs.decode() function Using pandas library Using decode() function The built-in decode() method in python, is used to convert bytes to a string. Algorithm (Steps) Following are the Algorithm/steps to be followed to perform the desired task –. Create a variable to store the input byte string data. Print input data. Use the type() function(returns the data type of an object) to print the type ... Read More