Object Oriented Programming - Intro to Classes

class Cat:
  # rest of the code

captain_meow = Cat(...)  # Additional parameters could be added inside the parenthesis

Click to reveal|||text||||||0|||Hide

Yes, the creation of an empty dataframe:

`df = pd.DataFrame()`


DataFrame has been a class all along. You'll see that you have been using classes since you have started coding.

class class_name:
  def __init__(self, additional input variable):
    # rest of your code

class Cat: 
  def __init__(self, name):  # name is an additional parameter
    # We will see next what to write in here

captain_meow = Cat('Captain Meow') 

import pandas as pd

# Some data
some_data = {'col1': [2, 4, 6, 8, 2], 'col2' : [3, 5, 4, 2, 6]}

# Build the dataframe using the class init
specific_dataframe = pd.DataFrame(some_data)

# Call the method
specific_dataframe.info()

print(type(specific_dataframe))

class DataFrame:
  ...
  def info(self, ... ):
    # rest of the code

Click to reveal|||text||||||0|||Hide|||
`df.drop(... , inplace = True)`

In this case, the `df` is the object, the `pd.DataFrame` is the class, and the `drop` is the method.

false|||false|||true
# Comment reconnais-tu une classe ?
[] Le nom est écrit avec une majuscule
[] Si tu affiches le type, il imprime 'class...'
[] Il y a la possibilité d'écrire quelque chose comme variable.function()
[x] Toutes les réponses ci-dessus
# Qu'est-ce qu'un constructeur ?
[] C'est un attribut interne qui sert à stocker la valeur la plus importante de la classe
[x] C'est une méthode interne qui est appelée automatiquement quand l'objet est créé
[] C'est un nouveau langage de programmation, appelé ainsi pour souligner l'importance de l'architecture du code
# Les classes sont les variables spécifiques et les objets sont les types des classes.
[] Vrai
[x] Faux
# Qu'est-ce que self ?
[] C'est le nom d'un attribut
[] C'est une classe
[x] C'est le nom d'une variable interne utilisée dans les classes

class Cat:
  # rest of the code

captain_meow = Cat(...)  # Additional parameters could be added inside the parenthesis

Click to reveal|||text||||||0|||Hide

Yes, the creation of an empty dataframe:

`df = pd.DataFrame()`


DataFrame has been a class all along. You'll see that you have been using classes since you have started coding.

class class_name:
  def __init__(self, additional input variable):
    # rest of your code

class Cat: 
  def __init__(self, name):  # name is an additional parameter
    # We will see next what to write in here

captain_meow = Cat('Captain Meow') 

import pandas as pd

# Some data
some_data = {'col1': [2, 4, 6, 8, 2], 'col2' : [3, 5, 4, 2, 6]}

# Build the dataframe using the class init
specific_dataframe = pd.DataFrame(some_data)

# Call the method
specific_dataframe.info()

print(type(specific_dataframe))

class DataFrame:
  ...
  def info(self, ... ):
    # rest of the code

Click to reveal|||text||||||0|||Hide|||
`df.drop(... , inplace = True)`

In this case, the `df` is the object, the `pd.DataFrame` is the class, and the `drop` is the method.

false|||false|||true
# How do you recognize a class? 
[] The name is written capitalized
[] If you display the type, it prints 'class...'
[] There is the possibility to write something like variable.function()
[x] All of the above
# What's a constructor?
[] It's an internal attribute to store the most important value of the class
[x] It's an internal method that is called automatically when the object is created
[] It's a new programming language, called this way to emphasize the importance of the architecture of the code
# Classes are the specific variables and Objects are the types of the Classes.
[] True
[x] False
# What is self?
[] It's the name of an attribute
[] It's a Class
[x] It's the name of an internal variable used in Classes