def create_gaintable_from_rows(gt: GainTable,
rows: numpy.ndarray,
makecopy=True) -> GainTable:
""" Create a GainTable from selected rows
:param gt: GainTable
:param rows: Boolean array of row selection
:param makecopy: Make a deep copy (True)
:return: GainTable
"""
if rows is None or numpy.sum(rows) == 0:
return None
assert len(
rows
) == gt.ntimes, "Length of rows does not agree with length of GainTable"
assert isinstance(gt, GainTable), gt
if makecopy:
newgt = copy_gaintable(gt)
newgt.data = copy.deepcopy(gt.data[rows])
return newgt
else:
gt.data = copy.deepcopy(gt.data[rows])
return gt
def append_gaintable(gt: GainTable, othergt: GainTable) -> GainTable:
"""Append othergt to gt
:param gt:
:param othergt:
:return: GainTable gt + othergt
"""
assert gt.receptor_frame == othergt.receptor_frame
gt.data = numpy.hstack((gt.data, othergt.data))
return gt