sklearn.datasets.fetch_california_housing

sklearn.datasets.fetch_california_housing(data_home=None, download_if_missing=True, return_X_y=False, as_frame=False)[source]

Load the California housing dataset (regression).

Samples total

20640

Dimensionality

8

Features

real

Target

real 0.15 - 5.

Read more in the User Guide.

Parameters
data_homeoptional, default: None

Specify another download and cache folder for the datasets. By default all scikit-learn data is stored in ‘~/scikit_learn_data’ subfolders.

download_if_missingoptional, default=True

If False, raise a IOError if the data is not locally available instead of trying to download the data from the source site.

return_X_yboolean, default=False.

If True, returns (data.data, data.target) instead of a Bunch object.

New in version 0.20.

as_frameboolean, default=False

If True, the data is a pandas DataFrame including columns with appropriate dtypes (numeric, string or categorical). The target is a pandas DataFrame or Series depending on the number of target_columns.

New in version 0.23.

Returns
datasetBunch

Dictionary-like object, with the following attributes.

datandarray, shape (20640, 8)

Each row corresponding to the 8 feature values in order. If as_frame is True, data is a pandas object.

targetnumpy array of shape (20640,)

Each value corresponds to the average house value in units of 100,000. If as_frame is True, target is a pandas object.

feature_nameslist of length 8

Array of ordered feature names used in the dataset.

DESCRstring

Description of the California housing dataset.

(data, target)tuple if return_X_y is True

New in version 0.20.

framepandas DataFrame

Only present when as_frame=True. DataFrame with data and target.

New in version 0.23.

Notes

This dataset consists of 20,640 samples and 9 features.