BaseAggregator

class ctapipe.monitoring.aggregator.BaseAggregator(*args: t.Any, **kwargs: t.Any)

Bases: Component

Base class for aggregators that compute statistics and histograms over chunks of data.

Aggregators use a chunking strategy to divide input tables and compute aggregated statistics and histograms for each chunk.

Attributes Summary

chunking_type

The chunking strategy to use for dividing data into chunks.

Methods Summary

__call__(table[, masked_elements_of_sample, ...])

Divide table into chunks and compute aggregated statistic values or histograms.

Attributes Documentation

chunking_type

The chunking strategy to use for dividing data into chunks.. Possible values: []

Methods Documentation

__call__(table, masked_elements_of_sample=None, col_name='image') → Table

Divide table into chunks and compute aggregated statistic values or histograms.

Parameters:

tableastropy.table.Table

table with event-wise data of shape (n_events, *data_dimensions), event IDs and timestamps of shape (n_events, )

masked_elements_of_samplendarray, optional

boolean array of masked elements of shape (*data_dimensions) that are not available for processing

col_namestring

column name in the table containing the event-wise data to aggregate

Returns:

astropy.table.Table

table containing the start and end values as timestamps and event IDs as well as the aggregated statistic values or histograms for each chunk