ChunkStatisticsContainer#

class ctapipe.containers.ChunkStatisticsContainer(prefix=None, **fields)[source]#

Store descriptive statistics of a chunk of images

Attributes:

meanField(default=None): mean of a pixel-wise quantity for each channelType: float; Shape: (n_channels, n_pixel)
medianField(default=None): median of a pixel-wise quantity for each channelType: float; Shape: (n_channels, n_pixel)
stdField(default=None): standard deviation of a pixel-wise quantity for each channelType: float; Shape: (n_channels, n_pixel)
n_eventsField(default=-1): number of events used for the extraction of the statistics
outlier_maskField(default=None): Boolean mask indicating which pixels are considered outliers. Shape: (n_channels, n_pixels)
is_validField(default=False): True if the pixel statistics are valid, False if they are not valid or if a high fraction of faulty pixels exceeding the pre-defined threshold is detected across the chunk of images.
time_startField(default=0.0): high resolution start time of the chunk
time_endField(default=0.0): high resolution end time of the chunk
event_id_startField(default=None): event id of the first event of the chunk
event_id_endField(default=None): event id of the last event of the chunk
metadict: dict of attached metadata
prefixstr: Prefix attached to column names when saved to a table or file

Attributes Summary

Attributes Documentation

fields = {'event_id_end': Field(default=None), 'event_id_start': Field(default=None), 'is_valid': Field(default=False), 'mean': Field(default=None), 'median': Field(default=None), 'n_events': Field(default=-1), 'outlier_mask': Field(default=None), 'std': Field(default=None), 'time_end': Field(default=0.0), 'time_start': Field(default=0.0)}#