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Class SimpleImputer (2.17.0) Stay organized with collections
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SimpleImputer
(
strategy
:
typing
.
Literal
[
"mean"
,
"median"
,
"most_frequent"
]
=
"mean"
)
Univariate imputer for completing missing values with simple strategies.
Replace missing values using a descriptive statistic (e.g. mean, median, or
most frequent) along each column.
Examples:
>>> import bigframes.pandas as bpd
>>> from bigframes.ml.impute import SimpleImputer
>>> bpd.options.display.progress_bar = None
>>> X_train = bpd.DataFrame({"feat0": [7.0, 4.0, 10.0], "feat1": [2.0, None, 5.0], "feat2": [3.0, 6.0, 9.0]})
>>> imp_mean = SimpleImputer().fit(X_train)
>>> X_test = bpd.DataFrame({"feat0": [None, 4.0, 10.0], "feat1": [2.0, None, None], "feat2": [3.0, 6.0, 9.0]})
>>> imp_mean.transform(X_test)
imputer_feat0 imputer_feat1 imputer_feat2
0 7.0 2.0 3.0
1 4.0 3.5 6.0
2 10.0 3.5 9.0
<BLANKLINE>
[3 rows x 3 columns]
strategy
{'mean', 'median', 'most_frequent'}, default='mean'
The imputation strategy. 'mean': replace missing values using the mean along the axis. 'median':replace missing values using the median along the axis. 'most_frequent', replace missing using the most frequent value along the axis.
Methods
__repr__
Print the estimator's constructor with all non-default parameter values.
fit
fit
(
X
:
typing
.
Union
[
bigframes
.
dataframe
.
DataFrame
,
bigframes
.
series
.
Series
,
pandas
.
core
.
frame
.
DataFrame
,
pandas
.
core
.
series
.
Series
,
],
y
=
None
,
)
-
> bigframes
.
ml
.
impute
.
SimpleImputer
SimpleImputer
Fitted scaler.
fit_transform
(
X
:
typing
.
Union
[
bigframes
.
dataframe
.
DataFrame
,
bigframes
.
series
.
Series
,
pandas
.
core
.
frame
.
DataFrame
,
pandas
.
core
.
series
.
Series
,
],
y
:
typing
.
Optional
[
typing
.
Union
[
bigframes
.
dataframe
.
DataFrame
,
bigframes
.
series
.
Series
,
pandas
.
core
.
frame
.
DataFrame
,
pandas
.
core
.
series
.
Series
,
]
]
=
None
,
)
-
> bigframes
.
dataframe
.
DataFrame
Fit to data, then transform it.
DataFrame of shape (n_samples, n_features_new). Transformed DataFrame.
get_params
get_params
(
deep
:
bool
=
True
)
-
> typing
.
Dict
[
str
,
typing
.
Any
]
Get parameters for this estimator.
deep
bool, default True
Default True
. If True, will return the parameters for this estimator and contained subobjects that are estimators.
Dictionary
A dictionary of parameter names mapped to their values.
to_gbq
to_gbq
(
model_name
:
str
,
replace
:
bool
=
False
)
-
> bigframes
.
ml
.
base
.
_T
Save the transformer as a BigQuery model.
model_name
str
The name of the model.
replace
bool, default False
Determine whether to replace if the model already exists. Default to False.
transform
(
X
:
typing
.
Union
[
bigframes
.
dataframe
.
DataFrame
,
bigframes
.
series
.
Series
,
pandas
.
core
.
frame
.
DataFrame
,
pandas
.
core
.
series
.
Series
,
],
)
-
> bigframes
.
dataframe
.
DataFrame
Impute all missing values in X.
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Last updated 2025-08-28 UTC.
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[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-28 UTC."],[],[],null,["# Class SimpleImputer (2.17.0)\n\nVersion latestkeyboard_arrow_down\n\n- [2.17.0 (latest)](/python/docs/reference/bigframes/latest/bigframes.ml.impute.SimpleImputer)\n- [2.16.0](/python/docs/reference/bigframes/2.16.0/bigframes.ml.impute.SimpleImputer)\n- [2.15.0](/python/docs/reference/bigframes/2.15.0/bigframes.ml.impute.SimpleImputer)\n- [2.14.0](/python/docs/reference/bigframes/2.14.0/bigframes.ml.impute.SimpleImputer)\n- [2.13.0](/python/docs/reference/bigframes/2.13.0/bigframes.ml.impute.SimpleImputer)\n- [2.12.0](/python/docs/reference/bigframes/2.12.0/bigframes.ml.impute.SimpleImputer)\n- [2.11.0](/python/docs/reference/bigframes/2.11.0/bigframes.ml.impute.SimpleImputer)\n- [2.10.0](/python/docs/reference/bigframes/2.10.0/bigframes.ml.impute.SimpleImputer)\n- [2.9.0](/python/docs/reference/bigframes/2.9.0/bigframes.ml.impute.SimpleImputer)\n- [2.8.0](/python/docs/reference/bigframes/2.8.0/bigframes.ml.impute.SimpleImputer)\n- [2.7.0](/python/docs/reference/bigframes/2.7.0/bigframes.ml.impute.SimpleImputer)\n- [2.6.0](/python/docs/reference/bigframes/2.6.0/bigframes.ml.impute.SimpleImputer)\n- [2.5.0](/python/docs/reference/bigframes/2.5.0/bigframes.ml.impute.SimpleImputer)\n- [2.4.0](/python/docs/reference/bigframes/2.4.0/bigframes.ml.impute.SimpleImputer)\n- [2.3.0](/python/docs/reference/bigframes/2.3.0/bigframes.ml.impute.SimpleImputer)\n- [2.2.0](/python/docs/reference/bigframes/2.2.0/bigframes.ml.impute.SimpleImputer)\n- [2.1.0](/python/docs/reference/bigframes/2.1.0/bigframes.ml.impute.SimpleImputer)\n- [2.0.0](/python/docs/reference/bigframes/2.0.0/bigframes.ml.impute.SimpleImputer)\n- [1.42.0](/python/docs/reference/bigframes/1.42.0/bigframes.ml.impute.SimpleImputer)\n- [1.41.0](/python/docs/reference/bigframes/1.41.0/bigframes.ml.impute.SimpleImputer)\n- [1.40.0](/python/docs/reference/bigframes/1.40.0/bigframes.ml.impute.SimpleImputer)\n- [1.39.0](/python/docs/reference/bigframes/1.39.0/bigframes.ml.impute.SimpleImputer)\n- [1.38.0](/python/docs/reference/bigframes/1.38.0/bigframes.ml.impute.SimpleImputer)\n- [1.37.0](/python/docs/reference/bigframes/1.37.0/bigframes.ml.impute.SimpleImputer)\n- [1.36.0](/python/docs/reference/bigframes/1.36.0/bigframes.ml.impute.SimpleImputer)\n- [1.35.0](/python/docs/reference/bigframes/1.35.0/bigframes.ml.impute.SimpleImputer)\n- [1.34.0](/python/docs/reference/bigframes/1.34.0/bigframes.ml.impute.SimpleImputer)\n- [1.33.0](/python/docs/reference/bigframes/1.33.0/bigframes.ml.impute.SimpleImputer)\n- [1.32.0](/python/docs/reference/bigframes/1.32.0/bigframes.ml.impute.SimpleImputer)\n- [1.31.0](/python/docs/reference/bigframes/1.31.0/bigframes.ml.impute.SimpleImputer)\n- [1.30.0](/python/docs/reference/bigframes/1.30.0/bigframes.ml.impute.SimpleImputer)\n- [1.29.0](/python/docs/reference/bigframes/1.29.0/bigframes.ml.impute.SimpleImputer)\n- [1.28.0](/python/docs/reference/bigframes/1.28.0/bigframes.ml.impute.SimpleImputer)\n- [1.27.0](/python/docs/reference/bigframes/1.27.0/bigframes.ml.impute.SimpleImputer)\n- [1.26.0](/python/docs/reference/bigframes/1.26.0/bigframes.ml.impute.SimpleImputer)\n- [1.25.0](/python/docs/reference/bigframes/1.25.0/bigframes.ml.impute.SimpleImputer)\n- [1.24.0](/python/docs/reference/bigframes/1.24.0/bigframes.ml.impute.SimpleImputer)\n- [1.22.0](/python/docs/reference/bigframes/1.22.0/bigframes.ml.impute.SimpleImputer)\n- [1.21.0](/python/docs/reference/bigframes/1.21.0/bigframes.ml.impute.SimpleImputer)\n- [1.20.0](/python/docs/reference/bigframes/1.20.0/bigframes.ml.impute.SimpleImputer)\n- [1.19.0](/python/docs/reference/bigframes/1.19.0/bigframes.ml.impute.SimpleImputer)\n- [1.18.0](/python/docs/reference/bigframes/1.18.0/bigframes.ml.impute.SimpleImputer)\n- [1.17.0](/python/docs/reference/bigframes/1.17.0/bigframes.ml.impute.SimpleImputer)\n- [1.16.0](/python/docs/reference/bigframes/1.16.0/bigframes.ml.impute.SimpleImputer)\n- [1.15.0](/python/docs/reference/bigframes/1.15.0/bigframes.ml.impute.SimpleImputer)\n- [1.14.0](/python/docs/reference/bigframes/1.14.0/bigframes.ml.impute.SimpleImputer)\n- [1.13.0](/python/docs/reference/bigframes/1.13.0/bigframes.ml.impute.SimpleImputer)\n- [1.12.0](/python/docs/reference/bigframes/1.12.0/bigframes.ml.impute.SimpleImputer)\n- [1.11.1](/python/docs/reference/bigframes/1.11.1/bigframes.ml.impute.SimpleImputer)\n- [1.10.0](/python/docs/reference/bigframes/1.10.0/bigframes.ml.impute.SimpleImputer)\n- [1.9.0](/python/docs/reference/bigframes/1.9.0/bigframes.ml.impute.SimpleImputer)\n- [1.8.0](/python/docs/reference/bigframes/1.8.0/bigframes.ml.impute.SimpleImputer)\n- [1.7.0](/python/docs/reference/bigframes/1.7.0/bigframes.ml.impute.SimpleImputer)\n- [1.6.0](/python/docs/reference/bigframes/1.6.0/bigframes.ml.impute.SimpleImputer)\n- [1.5.0](/python/docs/reference/bigframes/1.5.0/bigframes.ml.impute.SimpleImputer)\n- [1.4.0](/python/docs/reference/bigframes/1.4.0/bigframes.ml.impute.SimpleImputer)\n- [1.3.0](/python/docs/reference/bigframes/1.3.0/bigframes.ml.impute.SimpleImputer)\n- [1.2.0](/python/docs/reference/bigframes/1.2.0/bigframes.ml.impute.SimpleImputer)\n- [1.1.0](/python/docs/reference/bigframes/1.1.0/bigframes.ml.impute.SimpleImputer)\n- [1.0.0](/python/docs/reference/bigframes/1.0.0/bigframes.ml.impute.SimpleImputer)\n- [0.26.0](/python/docs/reference/bigframes/0.26.0/bigframes.ml.impute.SimpleImputer)\n- [0.25.0](/python/docs/reference/bigframes/0.25.0/bigframes.ml.impute.SimpleImputer)\n- [0.24.0](/python/docs/reference/bigframes/0.24.0/bigframes.ml.impute.SimpleImputer)\n- [0.23.0](/python/docs/reference/bigframes/0.23.0/bigframes.ml.impute.SimpleImputer)\n- [0.22.0](/python/docs/reference/bigframes/0.22.0/bigframes.ml.impute.SimpleImputer)\n- [0.21.0](/python/docs/reference/bigframes/0.21.0/bigframes.ml.impute.SimpleImputer)\n- [0.20.1](/python/docs/reference/bigframes/0.20.1/bigframes.ml.impute.SimpleImputer)\n- [0.19.2](/python/docs/reference/bigframes/0.19.2/bigframes.ml.impute.SimpleImputer)\n- [0.18.0](/python/docs/reference/bigframes/0.18.0/bigframes.ml.impute.SimpleImputer)\n- [0.17.0](/python/docs/reference/bigframes/0.17.0/bigframes.ml.impute.SimpleImputer)\n- [0.16.0](/python/docs/reference/bigframes/0.16.0/bigframes.ml.impute.SimpleImputer)\n- [0.15.0](/python/docs/reference/bigframes/0.15.0/bigframes.ml.impute.SimpleImputer)\n- [0.14.1](/python/docs/reference/bigframes/0.14.1/bigframes.ml.impute.SimpleImputer)\n- [0.13.0](/python/docs/reference/bigframes/0.13.0/bigframes.ml.impute.SimpleImputer)\n- [0.12.0](/python/docs/reference/bigframes/0.12.0/bigframes.ml.impute.SimpleImputer)\n- [0.11.0](/python/docs/reference/bigframes/0.11.0/bigframes.ml.impute.SimpleImputer)\n- [0.10.0](/python/docs/reference/bigframes/0.10.0/bigframes.ml.impute.SimpleImputer)\n- [0.9.0](/python/docs/reference/bigframes/0.9.0/bigframes.ml.impute.SimpleImputer)\n- [0.8.0](/python/docs/reference/bigframes/0.8.0/bigframes.ml.impute.SimpleImputer)\n- [0.7.0](/python/docs/reference/bigframes/0.7.0/bigframes.ml.impute.SimpleImputer)\n- [0.6.0](/python/docs/reference/bigframes/0.6.0/bigframes.ml.impute.SimpleImputer)\n- [0.5.0](/python/docs/reference/bigframes/0.5.0/bigframes.ml.impute.SimpleImputer)\n- [0.4.0](/python/docs/reference/bigframes/0.4.0/bigframes.ml.impute.SimpleImputer)\n- [0.3.0](/python/docs/reference/bigframes/0.3.0/bigframes.ml.impute.SimpleImputer)\n- [0.2.0](/python/docs/reference/bigframes/0.2.0/bigframes.ml.impute.SimpleImputer) \n\n SimpleImputer(strategy: typing.Literal[\"mean\", \"median\", \"most_frequent\"] = \"mean\")\n\nUnivariate imputer for completing missing values with simple strategies.\n\nReplace missing values using a descriptive statistic (e.g. mean, median, or\nmost frequent) along each column.\n\n**Examples:** \n\n \u003e\u003e\u003e import bigframes.pandas as bpd\n \u003e\u003e\u003e from bigframes.ml.impute import SimpleImputer\n \u003e\u003e\u003e bpd.options.display.progress_bar = None\n \u003e\u003e\u003e X_train = bpd.DataFrame({\"feat0\": [7.0, 4.0, 10.0], \"feat1\": [2.0, None, 5.0], \"feat2\": [3.0, 6.0, 9.0]})\n \u003e\u003e\u003e imp_mean = SimpleImputer().fit(X_train)\n \u003e\u003e\u003e X_test = bpd.DataFrame({\"feat0\": [None, 4.0, 10.0], \"feat1\": [2.0, None, None], \"feat2\": [3.0, 6.0, 9.0]})\n \u003e\u003e\u003e imp_mean.transform(X_test)\n imputer_feat0 imputer_feat1 imputer_feat2\n 0 7.0 2.0 3.0\n 1 4.0 3.5 6.0\n 2 10.0 3.5 9.0\n \u003cBLANKLINE\u003e\n [3 rows x 3 columns]\n\nMethods\n-------\n\n### __repr__\n\n __repr__()\n\nPrint the estimator's constructor with all non-default parameter values.\n\n### fit\n\n fit(\n X: typing.Union[\n bigframes.dataframe.DataFrame,\n bigframes.series.Series,\n pandas.core.frame.DataFrame,\n pandas.core.series.Series,\n ],\n y=None,\n ) -\u003e bigframes.ml.impute.SimpleImputer\n\nFit the imputer on X.\n\n### fit_transform\n\n fit_transform(\n X: typing.Union[\n bigframes.dataframe.DataFrame,\n bigframes.series.Series,\n pandas.core.frame.DataFrame,\n pandas.core.series.Series,\n ],\n y: typing.Optional[\n typing.Union[\n bigframes.dataframe.DataFrame,\n bigframes.series.Series,\n pandas.core.frame.DataFrame,\n pandas.core.series.Series,\n ]\n ] = None,\n ) -\u003e bigframes.dataframe.DataFrame\n\nFit to data, then transform it.\n\n### get_params\n\n get_params(deep: bool = True) -\u003e typing.Dict[str, typing.Any]\n\nGet parameters for this estimator.\n\n### to_gbq\n\n to_gbq(model_name: str, replace: bool = False) -\u003e bigframes.ml.base._T\n\nSave the transformer as a BigQuery model.\n\n### transform\n\n transform(\n X: typing.Union[\n bigframes.dataframe.DataFrame,\n bigframes.series.Series,\n pandas.core.frame.DataFrame,\n pandas.core.series.Series,\n ],\n ) -\u003e bigframes.dataframe.DataFrame\n\nImpute all missing values in X."]]
