Sample

df.sample(n, replace=False)

Randomly samples n rows from df.

Input:

df : DataFrame

DataFrame to sample from.

n : integer

Number of rows to draw.

replace : boolean, default False

If True, rows are selected with replacement. If False, rows are selected without replacement.

Returns:

A random sample of n rows from df

Return Type:

DataFrame

Note:

• If replace = False, n must be smaller than the length of the DataFrame. Otherwise, the function will raise a ValueError: Cannot take a larger sample than length of DataFrame when 'replace=False'.

---

pets.sample(3, replace=True)

Index	ID	Unnamed: 0	Species	Color	Weight	Age	Is_Cat	Owner_Comment
4	dog_003	4	dog	black	25	0.5	False	Be the person your dog thinks you are.
6	ham_002	6	hamster	golden	0.25	0.2	False	No, thank you!
1	cat_001	1	cat	golden	1.5	0.2	True	My best birthday present ever!!!

pets.sample(3, replace=False)

Index	ID	Unnamed: 0	Species	Color	Weight	Age	Is_Cat	Owner_Comment
1	cat_001	1	cat	golden	1.5	0.2	True	My best birthday present ever!!!
6	ham_002	6	hamster	golden	0.25	0.2	False	No, thank you!
4	dog_003	4	dog	black	25	0.5	False	Be the person your dog thinks you are.

pets.shape[0]

8

pets.sample(9, replace=False)

ValueError: Cannot take a larger sample than length of DataFrame when 'replace=False'