The number of classes to return. Between 0 and 10.
return_X_ybool, default=False
If True, returns (data,target) instead of a Bunch object.
See below for more information about the data and target object.
Added in version 0.18.
as_framebool, default=False
If True, the data is a pandas DataFrame including columns with
appropriate dtypes (numeric). The target is
a pandas DataFrame or Series depending on the number of target columns.
If return_X_y is True, then (data, target) will be pandas
DataFrames or Series as described below.
Dictionary-like object, with the following attributes.
data{ndarray, dataframe} of shape (1797, 64)
The flattened data matrix. If as_frame=True, data will be
a pandas DataFrame.
target: {ndarray, Series} of shape (1797,)
The classification target. If as_frame=True, target will be
a pandas Series.
feature_names: list
The names of the dataset columns.
target_names: list
The names of target classes.
Added in version 0.20.
frame: DataFrame of shape (1797, 65)
Only present when as_frame=True. DataFrame with data and
target.
Added in version 0.23.
images: {ndarray} of shape (1797, 8, 8)
The raw image data.
DESCR: str
The full description of the dataset.
(data, target)tuple if return_X_y is True
A tuple of two ndarrays by default. The first contains a 2D ndarray of
shape (1797, 64) with each row representing one sample and each column
representing the features. The second ndarray of shape (1797) contains
the target samples. If as_frame=True, both arrays are pandas objects,
i.e. X a dataframe and y a series.