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Class SamplingOptions (2.17.0)
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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.
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Last updated 2025-08-28 UTC.
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[0.19.2](/python/docs/reference/bigframes/0.19.2/bigframes._config.sampling_options.SamplingOptions)\n- [0.18.0](/python/docs/reference/bigframes/0.18.0/bigframes._config.sampling_options.SamplingOptions)\n- [0.17.0](/python/docs/reference/bigframes/0.17.0/bigframes._config.sampling_options.SamplingOptions)\n- [0.16.0](/python/docs/reference/bigframes/0.16.0/bigframes._config.sampling_options.SamplingOptions)\n- [0.15.0](/python/docs/reference/bigframes/0.15.0/bigframes._config.sampling_options.SamplingOptions)\n- [0.14.1](/python/docs/reference/bigframes/0.14.1/bigframes._config.sampling_options.SamplingOptions)\n- [0.13.0](/python/docs/reference/bigframes/0.13.0/bigframes._config.sampling_options.SamplingOptions)\n- [0.12.0](/python/docs/reference/bigframes/0.12.0/bigframes._config.sampling_options.SamplingOptions)\n- [0.11.0](/python/docs/reference/bigframes/0.11.0/bigframes._config.sampling_options.SamplingOptions)\n- [0.10.0](/python/docs/reference/bigframes/0.10.0/bigframes._config.sampling_options.SamplingOptions)\n- [0.9.0](/python/docs/reference/bigframes/0.9.0/bigframes._config.sampling_options.SamplingOptions)\n- [0.8.0](/python/docs/reference/bigframes/0.8.0/bigframes._config.sampling_options.SamplingOptions)\n- [0.7.0](/python/docs/reference/bigframes/0.7.0/bigframes._config.sampling_options.SamplingOptions)\n- [0.6.0](/python/docs/reference/bigframes/0.6.0/bigframes._config.sampling_options.SamplingOptions)\n- [0.5.0](/python/docs/reference/bigframes/0.5.0/bigframes._config.sampling_options.SamplingOptions)\n- [0.4.0](/python/docs/reference/bigframes/0.4.0/bigframes._config.sampling_options.SamplingOptions)\n- [0.3.0](/python/docs/reference/bigframes/0.3.0/bigframes._config.sampling_options.SamplingOptions)\n- [0.2.0](/python/docs/reference/bigframes/0.2.0/bigframes._config.sampling_options.SamplingOptions) \n\n SamplingOptions(\n max_download_size: typing.Optional[int] = 500,\n enable_downsampling: bool = False,\n sampling_method: typing.Literal[\"head\", \"uniform\"] = \"uniform\",\n random_state: typing.Optional[int] = None,\n )\n\nEncapsulates the configuration for data sampling.\n\nMethods\n-------\n\n### with_disabled\n\n with_disabled() -\u003e bigframes._config.sampling_options.SamplingOptions\n\nConfigures whether to disable downsampling\n\n### with_max_download_size\n\n with_max_download_size(\n max_rows: typing.Optional[int],\n ) -\u003e bigframes._config.sampling_options.SamplingOptions\n\nConfigures the maximum download size for data sampling in MB\n\n### with_method\n\n with_method(\n method: typing.Literal[\"head\", \"uniform\"],\n ) -\u003e bigframes._config.sampling_options.SamplingOptions\n\nConfigures the downsampling algorithms to be chosen from\n\n### with_random_state\n\n with_random_state(\n state: typing.Optional[int],\n ) -\u003e bigframes._config.sampling_options.SamplingOptions\n\nConfigures the seed for the uniform downsampling algorithm"]]