def __init__(self, kdf: DataFrame, scol: Optional[spark.Column] = None) -> None:
assert len(kdf._internal._index_map) == 1
if scol is None:
IndexOpsMixin.__init__(
self, kdf._internal.copy(scol=kdf._internal.index_scols[0]), kdf)
else:
IndexOpsMixin.__init__(self, kdf._internal.copy(scol=scol), kdf)
def __init__(self, kdf: DataFrame):
assert len(kdf._internal._index_map) > 1
scol = F.struct(kdf._internal.index_scols)
data_columns = kdf._sdf.select(scol).columns
internal = kdf._internal.copy(scol=scol,
column_index=[(col, None) for col in data_columns],
column_index_names=None)
IndexOpsMixin.__init__(self, internal, kdf)
def __init__(self, kdf: DataFrame, scol: Optional[spark.Column] = None) -> None:
if scol is None:
scol = kdf._internal.index_scols[0]
internal = kdf._internal.copy(scol=scol,
data_columns=kdf._internal.index_columns,
column_index=kdf._internal.index_names,
column_index_names=None)
IndexOpsMixin.__init__(self, internal, kdf)
def __init__(self, kdf: DataFrame, scol: Optional[spark.Column] = None):
assert len(kdf._internal._index_map) > 1
self._kdf = kdf
if scol is None:
IndexOpsMixin.__init__(self, kdf._internal.copy(
scol=F.struct(self._kdf._internal.index_scols)), kdf)
else:
IndexOpsMixin.__init__(self, kdf._internal.copy(scol=scol), kdf)
def __init__(self, data: Union[DataFrame, list], dtype=None, name=None,
scol: Optional[spark.Column] = None) -> None:
if isinstance(data, DataFrame):
assert dtype is None
assert name is None
kdf = data
else:
assert scol is None
kdf = DataFrame(index=pd.Index(data=data, dtype=dtype, name=name))
if scol is None:
scol = kdf._internal.index_scols[0]
internal = kdf._internal.copy(scol=scol,
column_index=kdf._internal.index_names,
column_scols=kdf._internal.index_scols,
column_index_names=None)
IndexOpsMixin.__init__(self, internal, kdf)