def aggregate_cmd(main_arguments):
"""
Main routine for handling calls to the aggregation command.
:param main_arguments: The command line arguments (minus the aggregate command)
"""
import cis.exceptions as ex
from cis.data_io.gridded_data import GriddedDataList
if len(main_arguments.datagroups) > 1:
__error_occurred("Aggregation can only be performed on one data group")
input_group = main_arguments.datagroups[0]
data = DataReader().read_single_datagroup(input_group)
if isinstance(data, GriddedDataList):
logging.warning("The aggregate command is deprecated for GriddedData and will not be supported in future "
"versions of CIS. Please use 'collapse' instead.")
if any(v is not None for v in main_arguments.grid.values()):
raise ex.InvalidCommandLineOptionError("Grid specifications are not supported for Gridded aggregation.")
output = data.collapsed(list(main_arguments.grid.keys()), how=input_group.get("kernel", ''))
else:
output = data.aggregate(how=input_group.get("kernel", ''), **main_arguments.grid)
output.save_data(main_arguments.output)
def aggregate_cmd(main_arguments):
"""
Main routine for handling calls to the aggregation command.
:param main_arguments: The command line arguments (minus the aggregate command)
"""
import cis.exceptions as ex
from cis.data_io.gridded_data import GriddedDataList
if len(main_arguments.datagroups) > 1:
__error_occurred("Aggregation can only be performed on one data group")
input_group = main_arguments.datagroups[0]
data = DataReader().read_single_datagroup(input_group)
if isinstance(data, GriddedDataList):
logging.warning(
"The aggregate command is deprecated for GriddedData and will not be supported in future "
"versions of CIS. Please use 'collapse' instead.")
if any(v is not None for v in main_arguments.grid.values()):
raise ex.InvalidCommandLineOptionError(
"Grid specifications are not supported for Gridded aggregation."
)
output = data.collapsed(list(main_arguments.grid.keys()),
how=input_group.get("kernel", ''))
else:
output = data.aggregate(how=input_group.get("kernel", ''),
**main_arguments.grid)
output.save_data(main_arguments.output)
def collapse_cmd(main_arguments):
"""
Main routine for handling calls to the collapse command.
:param main_arguments: The command line arguments (minus the collapse command)
"""
from cis.data_io.ungridded_data import UngriddedDataList
if len(main_arguments.datagroups) > 1:
__error_occurred("Collapse can only be performed on one data group")
input_group = main_arguments.datagroups[0]
data = DataReader().read_single_datagroup(input_group)
if isinstance(data, UngriddedDataList):
logging.error("The collapse command can only be performed on gridded data. "
"Please use 'aggregate' instead.")
output = data.collapsed(main_arguments.dimensions, how=input_group.get("kernel", ''))
output.save_data(main_arguments.output)
def collapse_cmd(main_arguments):
"""
Main routine for handling calls to the collapse command.
:param main_arguments: The command line arguments (minus the collapse command)
"""
from cis.data_io.ungridded_data import UngriddedDataList
if len(main_arguments.datagroups) > 1:
__error_occurred("Collapse can only be performed on one data group")
input_group = main_arguments.datagroups[0]
data = DataReader().read_single_datagroup(input_group)
if isinstance(data, UngriddedDataList):
logging.error(
"The collapse command can only be performed on gridded data. "
"Please use 'aggregate' instead.")
output = data.collapsed(main_arguments.dimensions,
how=input_group.get("kernel", ''))
output.save_data(main_arguments.output)
