ChunkInterpolator

class ctapipe.monitoring.interpolation.ChunkInterpolator(**kwargs: Any)

Bases: MonitoringInterpolator

Simple interpolator for overlapping chunks of data.

Methods Summary

__call__(tel_id, time[, timestamp_tolerance])	Interpolate overlapping chunks of data for a given time, tel_id, and column(s).
add_table(tel_id, input_table)	Add a table to this interpolator for specific columns.

Methods Documentation

__call__(tel_id: int, time: ~astropy.time.core.Time, timestamp_tolerance: ~astropy.units.quantity.Quantity = <Quantity 0. s>) → float | dict[str, float]

Interpolate overlapping chunks of data for a given time, tel_id, and column(s).

Parameters:

tel_idint

Telescope id.

timeastropy.time.Time

Time for which to interpolate the data.

timestamp_toleranceastropy.units.Quantity

Time difference in seconds to consider two timestamps equal. Default is 0s.

Returns:

interpolatedfloat or dict

Interpolated data for the specified column(s).

add_table(tel_id: int, input_table: Table) → None

Add a table to this interpolator for specific columns.

Parameters:

tel_idint

Telescope id.

input_tableastropy.table.Table

Table of values to be interpolated, expected columns are time_start as validity start Time column, time_end as validity end Time and the specified columns for the data of the chunks.