def __init__(self,
obj,
dshape=None,
metadata=None,
layout=None,
params=None):
# Datashape
# ---------
if isinstance(dshape, basestring):
dshape = _dshape(dshape)
if not dshape:
# The user just passed in a raw data source, try
# and infer how it should be layed out or fail
# back on dynamic types.
self._datashape = dshape = CTableSource.infer_datashape(obj)
else:
# The user overlayed their custom dshape on this
# data, check if it makes sense
CTableSource.check_datashape(obj, given_dshape=dshape)
self._datashape = dshape
# Source
# ------
if isinstance(obj, ByteProvider):
self.data = obj
else:
self.data = CTableSource(obj, dshape=dshape, params=params)
# children graph nodes
self.children = []
self.space = Space(self.data)
# Layout
# ------
if layout:
self._layout = layout
elif not layout:
self._layout = self.data.default_layout()
# Metadata
# --------
self._metadata = NDTable._metaheader + (metadata or [])
# Parameters
# ----------
self.params = params
def __init__(self, obj, dshape=None, metadata=None, layout=None,
params=None):
# Datashape
# ---------
if isinstance(dshape, basestring):
dshape = _dshape(dshape)
if not dshape:
# The user just passed in a raw data source, try
# and infer how it should be layed out or fail
# back on dynamic types.
self._datashape = dshape = CTableSource.infer_datashape(obj)
else:
# The user overlayed their custom dshape on this
# data, check if it makes sense
CTableSource.check_datashape(obj, given_dshape=dshape)
self._datashape = dshape
# Source
# ------
if isinstance(obj, ByteProvider):
self.data = obj
else:
self.data = CTableSource(obj, dshape=dshape, params=params)
# children graph nodes
self.children = []
self.space = Space(self.data)
# Layout
# ------
if layout:
self._layout = layout
elif not layout:
self._layout = self.data.default_layout()
# Metadata
# --------
self._metadata = NDTable._metaheader + (metadata or [])
# Parameters
# ----------
self.params = params
