Jungfraujoch/docs/python_client/docs/MeasurementStatistics.md

MeasurementStatistics

Properties

Name	Type	Description	Notes
file_prefix	str		[optional]
run_number	int	Number of data collection run. This can be either automatically incremented or provided externally for each data collection.	[optional]
experiment_group	str	Name of group owning the data (e.g. p-group or proposal number).	[optional]
images_expected	int		[optional]
images_collected	int	Images collected by the receiver. This number will be lower than images expected if there were issues with data collection performance.	[optional]
images_sent	int	Images sent to the writer. The value does not include images discarded by lossy compression filter and images not forwarded due to full ZeroMQ queue.	[optional]
images_written	int	Images successfully written to disk. The value is live updated for TCP/IP socket and direct HDF5 writer, while for ZeroMQ it is only updated at the end of experiment.	[optional]
images_discarded_lossy_compression	int	Images discarded by the lossy compression filter	[optional]
max_image_number_sent	int		[optional]
collection_efficiency	float		[optional]
compression_ratio	float		[optional]
cancelled	bool		[optional]
max_receiver_delay	int		[optional]
indexing_rate	float		[optional]
detector_width	int		[optional]
detector_height	int		[optional]
detector_pixel_depth	int		[optional]
bkg_estimate	float		[optional]
unit_cell	str		[optional]
error_pixels	float	Moving average of 1000 images counting number of error pixels on the detector	[optional]
saturated_pixels	float	Moving average of 1000 images counting number of saturated pixels on the detector	[optional]
roi_beam_pixels	float	If there is an ROI defined with name "beam", this number will hold moving average of 1000 images for number of valid pixels within this ROI	[optional]
roi_beam_sum	float	If there is an ROI defined with name "beam", this number will hold moving average of 1000 images for sum of valid pixels within this ROI	[optional]

Example

from jfjoch_client.models.measurement_statistics import MeasurementStatistics

# TODO update the JSON string below
json = "{}"
# create an instance of MeasurementStatistics from a JSON string
measurement_statistics_instance = MeasurementStatistics.from_json(json)
# print the JSON string representation of the object
print(MeasurementStatistics.to_json())

# convert the object into a dict
measurement_statistics_dict = measurement_statistics_instance.to_dict()
# create an instance of MeasurementStatistics from a dict
measurement_statistics_from_dict = MeasurementStatistics.from_dict(measurement_statistics_dict)

[Back to Model list] [Back to API list] [Back to README]