Type of data expected by fill
.
Type of data expected by fill
.
The type of the immutable version of this container.
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.
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.
Typical use: filledHistogram.as[initialHistogram.Type]
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.
Metric, sorted map of centers and values for each bin.
Metric, sorted map of centers and values for each bin.
Return the exact center of the bin that x
belongs to.
Return the exact center of the bin that x
belongs to.
Iterable over the centers of each bin.
Iterable over the centers of each bin.
Set of centers of each bin.
Set of centers of each bin.
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.
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.
Weighted number of entries (sum of all observed weights).
Weighted number of entries (sum of all observed weights).
Reference to the container's factory for runtime reflection.
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.
Return true
iff x
is in the nanflow region (equal to NaN
).
Return true
iff x
is in the nanflow region (equal to NaN
).
Container for data that resulted in NaN
.
Numerical function to track.
Numerical function to track.
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.
Used internally to convert the container to JSON without its "type"
header.
Return the aggregator at the center of the bin that x
belongs to.
Return the aggregator at the center of the bin that x
belongs to.
Iterable over the containers associated with each bin.
Iterable over the containers associated with each bin.
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 a quantity by splitting it into bins defined by bin centers, filling only one datum per bin with no overflows or underflows.
Use the factory org.dianahep.histogrammar.CentrallyBin to construct an instance.