sklearn.utils
._safe_indexing¶
- sklearn.utils._safe_indexing(X, indices, *, axis=0)[source]¶
Return rows, items or columns of X using indices.
Warning
This utility is documented, but private. This means that backward compatibility might be broken without any deprecation cycle.
- Parameters:
- Xarray-like, sparse-matrix, list, pandas.DataFrame, pandas.Series
Data from which to sample rows, items or columns.
list
are only supported whenaxis=0
.- indicesbool, int, str, slice, array-like
If
axis=0
, boolean and integer array-like, integer slice, and scalar integer are supported.- If
axis=1
: to select a single column,
indices
can be ofint
type for allX
types andstr
only for dataframe. The selected subset will be 1D, unlessX
is a sparse matrix in which case it will be 2D.to select multiples columns,
indices
can be one of the following:list
,array
,slice
. The type used in these containers can be one of the following:int
, ‘bool’ andstr
. However,str
is only supported whenX
is a dataframe. The selected subset will be 2D.
- If
- axisint, default=0
The axis along which
X
will be subsampled.axis=0
will select rows whileaxis=1
will select columns.
- Returns:
- subset
Subset of X on axis 0 or 1.
Notes
CSR, CSC, and LIL sparse matrices are supported. COO sparse matrices are not supported.