Type of data expected by fill
.
Type of data expected by fill
.
The type of the immutable version of this container.
Intended for the general user to copy a complex container's type into the as
method of a container whose type is not known at compile-time.
Reweight the contents in all nested aggregators by a scalar factor, as though they had been filled with a different weight.
Reweight the contents in all nested aggregators by a scalar factor, as though they had been filled with a different weight.
If the container is mutable (with org.dianahep.histogrammar.Aggregation), the new one will be, too.
The original is unaffected.
Add two containers of the same type.
Add two containers of the same type.
If these containers are mutable (with org.dianahep.histogrammar.Aggregation), the new one will be, too.
The originals are unaffected.
Cast the container to a given type.
Cast the container to a given type. Especially useful for containers reconstructed from JSON or stored in org.dianahep.histogrammar.UntypedLabeling/org.dianahep.histogrammar.UntypedLabeled.
List of sub-aggregators, to make it possible to walk the tree.
List of sub-aggregators, to make it possible to walk the tree.
List of sub-aggregators, to make it possible to walk the tree.
Copy this container, making a clone with no reference to the original.
Copy this container, making a clone with no reference to the original.
If these containers are mutable (with org.dianahep.histogrammar.Aggregation), the new one will be, too.
Aggregator to accumulate values that pass the cut.
Weighted number of entries (sum of all observed weights without the cut applied).
Reference to the container's factory for runtime reflection.
Entry point for the general user to pass data into the container for aggregation.
Entry point for the general user to pass data into the container for aggregation.
Usually all containers in a collection of histograms take the same input data by passing it recursively through the tree. Quantities to plot are specified by the individual container's lambda functions.
The container is changed in-place.
Fraction of weights that pass the quantity.
Boolean or non-negative function that cuts or weights entries.
Boolean or non-negative function that cuts or weights entries.
Convert any Container into a NoAggregation Container.
Convert any Container into a NoAggregation Container.
Convert this container to JSON (dropping its fill
method, making it immutable).
Convert this container to JSON (dropping its fill
method, making it immutable).
Note that the org.dianahep.histogrammar.json.Json object has a stringify
method to serialize.
Used internally to convert the container to JSON without its "type"
header.
Create an empty container with the same parameters as this one.
Create an empty container with the same parameters as this one.
If this container is mutable (with org.dianahep.histogrammar.Aggregation), the new one will be, too.
The original is unaffected.
Accumulating an aggregator of data that passes a cut.