Class SamplingOptions (1.29.0)

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SamplingOptions(
    max_download_size: typing.Optional[int] = 500,
    enable_downsampling: bool = False,
    sampling_method: typing.Literal["head", "uniform"] = "uniform",
    random_state: typing.Optional[int] = None,
)

Encapsulates the configuration for data sampling.

Attributes
Name	Description
max_download_size	int, default 500 Download size threshold in MB. If value set to None, the download size won't be checked.
enable_downsampling	bool, default False Whether to enable downsampling, If max_download_size is exceeded when downloading data (e.g., to_pandas()), the data will be downsampled if enable_downsampling is True, otherwise, an error will be raised.
sampling_method	str, default "uniform" Downsampling algorithms to be chosen from, the choices are: "head": This algorithm returns a portion of the data from the beginning. It is fast and requires minimal computations to perform the downsampling.; "uniform": This algorithm returns uniform random samples of the data.
random_state	int, default None The seed for the uniform downsampling algorithm. If provided, the uniform method may take longer to execute and require more computation.

Methods

with_disabled

with_disabled() -> bigframes._config.sampling_options.SamplingOptions

Configures whether to disable downsampling

Returns
Type	Description
bigframes._config.sampling_options.SamplingOptions	The configuration for data sampling.

with_max_download_size

with_max_download_size(
    max_rows: typing.Optional[int],
) -> bigframes._config.sampling_options.SamplingOptions

Configures the maximum download size for data sampling in MB

Parameter
Name	Description
max_rows	None or int An int value for the maximum row size.

Returns
Type	Description
bigframes._config.sampling_options.SamplingOptions	The configuration for data sampling.

with_method

with_method(
    method: typing.Literal["head", "uniform"]
) -> bigframes._config.sampling_options.SamplingOptions

Configures the downsampling algorithms to be chosen from

Parameter
Name	Description
method	None or Literal A literal string value of either head or uniform data sampling method.

Returns
Type	Description
bigframes._config.sampling_options.SamplingOptions	The configuration for data sampling.

with_random_state

with_random_state(
    state: typing.Optional[int],
) -> bigframes._config.sampling_options.SamplingOptions

Configures the seed for the uniform downsampling algorithm

Parameter
Name	Description
state	None or int An int value for the data sampling random state

Returns
Type	Description
bigframes._config.sampling_options.SamplingOptions	The configuration for data sampling.