sample

Returns a sampled subset of this DataFrame.

Syntax

sample(withReplacement: Optional[Union[float, bool]] = None, fraction: Optional[Union[int, float]] = None, seed: Optional[int] = None)

Parameters

Parameter	Type	Description
withReplacement	bool, optional	Sample with replacement or not (default False).
fraction	float, optional	Fraction of rows to generate, range [0.0, 1.0].
seed	int, optional	Seed for sampling (default a random seed).

Parameter	Type	Description
withReplacement	bool, optional	Sample with replacement or not (default False).
fraction	float, optional	Fraction of rows to generate, range [0.0, 1.0].
seed	int, optional	Seed for sampling (default a random seed).

Returns

DataFrame: Sampled rows from given DataFrame.

Notes

This is not guaranteed to provide exactly the fraction specified of the total count of the given DataFrame.

fraction is required and, withReplacement and seed are optional.

Examples

Python

df = spark.range(0, 10, 1, 1)
df.sample(0.5, 3).count()
# 7
df.sample(fraction=0.5, seed=3).count()
# 4
df.sample(withReplacement=True, fraction=0.5, seed=3).count()
# 2
df.sample(1.0).count()
# 10
df.sample(fraction=1.0).count()
# 10
df.sample(False, fraction=1.0).count()
# 10