Adds scalar multiplication to reweight filled aggregators. (Multiplying an aggregation tree by a scalar factor has the same effect as filling with weight * factor would have. In particular, multiplying by a non-positive number is equivalent to zero.) For ROOT filling, now only reading TBranches from the file that will be used (big I/O streamlining). Tests ROOT reading from TChains (no changes were required)
The boost-histogram library provides first-class histogram objects in Python. You can compose axes a...
Version 1.0.27, May 2022 Multiple performance updates, thanks to Simon Brugman! Turn off unnecessar...
Max Baak (mbaak) added visualization methods for Categorize in Matplotlib and PyROOT, as well as fix...
Adds scalar multiplication to reweight filled aggregators. (Multiplying an aggregation tree by a sca...
Fixes bug on encountering NaN/Inf in ASCII plots. Adds scalar multiplication to reweight filled aggr...
Histogrammar is a suite of data aggregation primitives designed for use in parallel processing. In t...
Fix for machine-level rounding error, which can show up on in num_bins() call of Bin histogram. Sup...
Version 1.0.29, June 2022 Fix for machine-level rounding error, which can show up on in num_bins() ...
Histogrammar is a suite of data aggregation primitives designed for use in parallel processing. In t...
Until this version, the Categorize aggregator didn't have a correct Numpy implementation (one that p...
Introduces the h.plot.root(), h.plot.matplotlib(), h.plot.bokeh() syntax for plotting front-ends, sy...
Recognizes PySpark Columns as a kind of user function. Wraps PySpark DataFrames with Histogrammar me...
Added make_histograms functionality from popmon to dataframes - Add n_dim and datatype properties to...
Version 1.0.28, June 2022 Multiple performance updates, to Bin, SparselyBin and Categorize histogra...
Boost-histogram is a new Python library that provides Histograms that can be filled, manipulated, sl...
The boost-histogram library provides first-class histogram objects in Python. You can compose axes a...
Version 1.0.27, May 2022 Multiple performance updates, thanks to Simon Brugman! Turn off unnecessar...
Max Baak (mbaak) added visualization methods for Categorize in Matplotlib and PyROOT, as well as fix...
Adds scalar multiplication to reweight filled aggregators. (Multiplying an aggregation tree by a sca...
Fixes bug on encountering NaN/Inf in ASCII plots. Adds scalar multiplication to reweight filled aggr...
Histogrammar is a suite of data aggregation primitives designed for use in parallel processing. In t...
Fix for machine-level rounding error, which can show up on in num_bins() call of Bin histogram. Sup...
Version 1.0.29, June 2022 Fix for machine-level rounding error, which can show up on in num_bins() ...
Histogrammar is a suite of data aggregation primitives designed for use in parallel processing. In t...
Until this version, the Categorize aggregator didn't have a correct Numpy implementation (one that p...
Introduces the h.plot.root(), h.plot.matplotlib(), h.plot.bokeh() syntax for plotting front-ends, sy...
Recognizes PySpark Columns as a kind of user function. Wraps PySpark DataFrames with Histogrammar me...
Added make_histograms functionality from popmon to dataframes - Add n_dim and datatype properties to...
Version 1.0.28, June 2022 Multiple performance updates, to Bin, SparselyBin and Categorize histogra...
Boost-histogram is a new Python library that provides Histograms that can be filled, manipulated, sl...
The boost-histogram library provides first-class histogram objects in Python. You can compose axes a...
Version 1.0.27, May 2022 Multiple performance updates, thanks to Simon Brugman! Turn off unnecessar...
Max Baak (mbaak) added visualization methods for Categorize in Matplotlib and PyROOT, as well as fix...