• 1
    Eingabe und Ausgabe
    • Aufgaben
  • 2
    Bedingungen
    • Aufgaben
  • 3
    For-Schleife
    • Aufgaben
  • 4
    Zeichenketten
    • Aufgaben
  • 5
    While-Schleife
    • Aufgaben
  • 6
    Listen
    • Aufgaben
  • 7
    2D-Arrays
    • Aufgaben
  • 8
    Wörterbücher
    • Aufgaben
  • 9
    Mengen
    • Aufgaben
  • 10
    Funktionen und Rekursion
    • Aufgaben
  • к

Lektion 8. Dictionary

Schwierigkeit:

Aufgabe«Digitales Notizbuch»

💻 Python
Sie entwickeln eine vereinfachte Version eines digitalen Notizbuchs, in dem die Namen und Nummern Ihrer Freunde gespeichert sind. Irgendwann müssen Sie einen Kontakt löschen, der nicht mehr relevant ist. Schreiben Sie ein Programm, mit dem Sie einen Kontakt aus dem Notizbuch anhand des Namens entfernen können.

Eingabeformat

Zuerst die ganze Zahl n   - die Anzahl der Kontakte im Notizbuch.
Dann n   Zeilen, von denen jede einen Namen (Zeichenkette) und eine Telefonnummer (Zeichenkette) enthält, getrennt durch ein Leerzeichen.
Am Ende wird der Name des Kontakts (Zeichenkette) eingegeben, der gelöscht werden soll.

Ausgabeformat

Notizbuch nach dem Entfernen des angegebenen Kontakts. Zeigen Sie für jeden Kontakt den Namen und die Telefonnummer durch ein Leerzeichen getrennt an, jeden Kontakt in einer neuen Zeile.
rn
Wenn der Kontakt nicht existiert, geben Sie die Meldung "Kontakt nicht gefunden" aus.

Beispiel

Eingabe

3
Ivan 1234567890
Maria 9876543210
Peter 5551234567
Maria

Ausgabe

Ivan 1234567890
Peter 5551234567

Hinweis

Dictionaries in python

Dictionaries in Python are a powerful and indispensable data structure that allows you to store information in the form of key-value pairs. Imagine a real dictionary or phone book: knowing a unique word (key), you instantly find its definition (meaning). Dictionaries simplify organization and, most importantly, provide very fast access to data based on unique keys.

The main characteristics of dictionaries

  • The keys are unique: Each key in the dictionary must be unique. Trying to add a key that already exists will simply overwrite its value.
  • Changeability: Dictionaries are mutable objects. You can add, modify, and delete key-value pairs after creating a dictionary.
  • Disorder (historically): In older versions of Python (before 3.7), dictionaries were considered unordered. However, starting with Python 3.7, they preserve the order in which elements are inserted. You should be careful to rely on this order if your code is supposed to run on older versions.

A useful tip: Only immutable data types such as strings, numbers, or tuples can be used as keys. Lists or other dictionaries cannot be keys, as they can be changed. But you can use absolutely any data type as values: numbers, strings, lists, and even other dictionaries.

Ways to create dictionaries

Dictionaries can be created in several ways:

1. Empty dictionary

my_dict = {}
# or using the built-in function
my_dict = dict()

2. Dictionary with elements (literal method) This is the most common and readable way.

user_profile = {
"username": "alex",
"level": 15,
"items": ["sword", "shield", "potion"]
}

3. Using the dict function with named arguments This method is convenient for simple dictionaries where the keys are strings.

my_dict = dict(key1="value1", key2="value2")

4. Creating tuples (pairs) from a list This method is useful when the data is received as a list of pairs.

pairs = [('a', 1), ('b', 2), ('c', 3)]
my_dict = dict(pairs)
# Result: {'a': 1, 'b': 2, 'c': 3}

Access to the elements

Dictionary values are accessed through their keys in square brackets.

my_dict = {"key1": "value1", "key2": "value2"}
print(my_dict["key1"]) # Output: value1

An important point: If you try to access a key that does not exist, Python will cause a KeyError error. To avoid this, use the .get() method.

Secure access using the .get() method The .get() method returns None if the key is not found and does not cause an error. You can also pass the second argument the default value, which will be returned instead of None.

print(my_dict.get("key3")) # Output: None
print(my_dict.get("key3", "not found")) # Conclusion: not found

Changing and adding elements

Adding or changing elements is very simple:

my_dict = {"key1": "old value"}

# Changing an existing element
my_dict["key1"] = "new value"
print(my_dict["key1"]) # Output: new value

# Adding a new element
my_dict["key3"] = "value3"
print(my_dict)  # Output: {'key1': 'new value', 'key3': 'value3'}

To combine dictionaries, you can use the .update() method:

dict1 = {'a': 1, 'b': 2}
dict2 = {'b': 3, 'c': 4}
dict1.update(dict2) # Key 'b' will be overwritten, 'c' will be added
print(dict1) # Output: {'a': 1, 'b':3, 'c':4}

Deleting elements

There are several ways to delete items in dictionaries.:

  • Using the del operator Deletes a key pair. Causes a KeyError error if the key is not found.
    del my_dict["key1"]
    
  • Using the .pop() method Deletes an element by key and returns its value. This is useful if you need to use a deleted value. If the key is not found, it will cause a KeyError, but you can pass the default value.
    my_dict = {'key2': 'value2', 'key3': 'value3'}
    value = my_dict.pop("key2")
    print(value) # Output: value2
    print(my_dict)  # Output: {'key3': 'value3'}
    
  • Deleting all elements The .clear() method clears the dictionary, making it empty.
    my_dict.clear()
    print(my_dict)  # Output: {}
    

Iterating through dictionary elements

1. Key iteration This is the default behavior when iterating through the dictionary.

for key in my_dict:
    print(key)

2. Iterating through values Use the .values() method if you only need values.

for value in my_dict.values():
    print(value)

3. Iterating through key-value pairs This is the most efficient and readable way if you need both keys and values at the same time. Use the .items() method.

for key, value in my_dict.items():
print(f"Key: {key}, Value: {value}")
main.py
Test 1
Test 2
Test 3
Test 4
Test 5
Test 6
Test 7
Test 8
Test 9
Test 10
Entwicklerlösung

🎉 Glückwunsch! 🎉

Du hast die Aufgabe hervorragend gelöst! Es war schwierig, aber du hast die Lösung gefunden. Du bist dem Meister einen Schritt näher! Mach weiter so.

AD

Werbung

red-snake blue-snake green-snake

Führe deinen Code aus...

KI-Assistent

Hallo! Ich bin dein Programmier-Assistent. Stelle mir beliebige Fragen zu Python — ich erkläre Funktionen, Methoden und helfe dir bei der aktuellen Aufgabe!