Shulou(Shulou.com)06/01 Report--

In this issue, the editor will bring you about the methods of Python data types. The article is rich in content and analyzed and described from a professional point of view. I hope you can get something after reading this article.

-01-

Data type

There are six basic data types provided by Python:

Digital (Number)

String (String)

Tuple (Tuple)

Collection (Sets)

List (List)

Dictionary (Dictionary)

The built-in type () function can be used to query the object type referred to by the variable.

-02-

List | L.method ()

List: list ()

The concept and basic usage of lists are not repeated here.

You can directly use list () to create a new list, or you can use list () to convert an object into a list.

1.L.append (object): adds an object to the end of the list.

2.L.insert (index, object): insert an element before the index element.

3.L.extend (iterable): expands the list with iterators. The concept of iterators is not repeated here.

4.L.copy (): returns a latent copy of the list. The concept of latent copying is not repeated here.

5.L.count (value): returns the number of value in the list.

6.L.index (value, [start, [stop]]): returns the first index of value. If value does not exist, ValueError is thrown. You can use start and stop to define the scope of the search.

7.L.pop ([index]): deletes and returns index entries (default). IndexError is thrown if the list is empty or the index is out of range.

8.L.remove (value): deletes the first occurrence of the value. If the value does not exist, a ValueError is thrown.

9.L.clear (): deletes all entries in the list.

10.L.reverse (): produces a reverse list to replace the original list.

11.L.sort (key=None, reverse=False): sorts the list and replaces the original list.

-03-

Dictionary | D.method ()

Dictionary: dict ()

The concept and basic usage of dictionaries will not be repeated here.

You can create a new dictionary directly using dict (), or you can use dict () to convert an object into a dictionary.

1.D.values (): returns all values in the dictionary.

2.D.keys (): returns all the keys in the dictionary.

3.D.items (): returns all entries in the dictionary.

4.D.get (key [, default]): returns the value of the specified key, if the value does not return the default value in the dictionary

.

5.D.copy (): returns a latent copy of the dictionary.

6.D.pop (key [, default]): deletes the specified key and returns the corresponding value. If the key is not found, the default value is returned, otherwise a KeyError is thrown.

7.D.popitem (): deletes and returns some (key, value) pairs as 2 tuples, but throws KeyError if D is empty.

8.D.clear (): deletes all entries in the dictionary.

9.D.setdefault (k [, d]): the function is equivalent to D.get (). If the key does not exist, add the key to the dictionary and set the default value.

10.D.update ([E,] * * F): update the original dictionary using a dictionary or iterator. It can be to update the key-value pairs in the dictionary to the original dictionary. If E exists and contains the .key () method (that is, the dictionary), then execute the algorithm: for k in E: d [k] = E [k]. If E exists and there is no .key () method (not a dictionary), then execute the algorithm: for k, v in E: d [k] = v. In both cases, follow: for k in F: d [k] = F [k].

11.dict.fromkeys (iterable, value=None, /) is a built-in method. Create a new dictionary, use the elements in the iterator as the keys of the dictionary, and value is the initial value of all the keys in the dictionary

These are the Python data type methods shared by the editor. If you happen to have similar doubts, please refer to the above analysis to understand. If you want to know more about it, you are welcome to follow the industry information channel.

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