tomoscan.esrf.scan.framereducer.hdf5framereducer.HDF5FrameReducer

class tomoscan.esrf.scan.framereducer.hdf5framereducer.HDF5FrameReducer(scan: TomoScanBase, reduced_method: ReduceMethod, target: REDUCER_TARGET, output_dtype: Optional[dtype] = None, overwrite=False)

Bases: FrameReducerBase

Frame reducer dedicated to HDF5

__init__(scan: TomoScanBase, reduced_method: ReduceMethod, target: REDUCER_TARGET, output_dtype: Optional[dtype] = None, overwrite=False)

Methods

__init__(scan, reduced_method, target[, ...])
get_count_time_serie(indexes)
get_machine_electric_current(indexes)
get_series(scan, target)	return a list of dictionary.
load_data_serie(urls)	load all urls.
run()

Attributes

output_dtype
overwrite
reduced_method
reducer_target
scan

get_series(scan, target: REDUCER_TARGET) → list

return a list of dictionary. Dictionaries keys are indexes in the acquisition. Values are url

Parameters:

• scan (NXtomoScan) – scan containing frames to reduce

• target (REDUCER_TARGET) – dark of flat to be reduced

load_data_serie(urls) → dict

load all urls. Trying to reduce load time by calling get_compacted_dataslices