The `sample()` Method
The sample() method returns a random row from the DataFrame by default.
There are two optional named parameters which can be used to specify how many random rows to fetch:
n: Specifies the exact number of random rows to fetch;frac: Specifies the fraction or percentage of the total rows to fetch. For example,frac=0.2will return 20% of the total rows;
123456789101112import pandas as pd # Sample DataFrame df = pd.DataFrame({ 'Coffee': ['Espresso', 'Latte', 'Cappuccino', 'Americano', 'Macchiato'], 'Price': [2.5, 3.5, 3.0, 2.8, 3.2], 'Availability': ['Yes', 'Yes', 'Yes', 'Yes', 'No'] }) print("Get 2 random rows from the DataFrame:") random_rows = df.sample(n=2) print(random_rows)
Tout était clair ?
Merci pour vos commentaires !
Section 3. Chapitre 5
Demandez à l'IA
Demandez à l'IA
Posez n'importe quelle question ou essayez l'une des questions suggérées pour commencer notre discussion
Suggested prompts:
Posez-moi des questions sur ce sujet
Résumer ce chapitre
Afficher des exemples du monde réel
Awesome!
Completion rate improved to 2.7The `sample()` Method
Glissez pour afficher le menu
The sample() method returns a random row from the DataFrame by default.
There are two optional named parameters which can be used to specify how many random rows to fetch:
n: Specifies the exact number of random rows to fetch;frac: Specifies the fraction or percentage of the total rows to fetch. For example,frac=0.2will return 20% of the total rows;
123456789101112import pandas as pd # Sample DataFrame df = pd.DataFrame({ 'Coffee': ['Espresso', 'Latte', 'Cappuccino', 'Americano', 'Macchiato'], 'Price': [2.5, 3.5, 3.0, 2.8, 3.2], 'Availability': ['Yes', 'Yes', 'Yes', 'Yes', 'No'] }) print("Get 2 random rows from the DataFrame:") random_rows = df.sample(n=2) print(random_rows)
Tout était clair ?
Merci pour vos commentaires !
Section 3. Chapitre 5
