Publication date
September 2016
DOIAbstract
Tutorial data reader has been added to core to simplify the workflow for new users reading the tutorial
Tutorial data reader has been added to core to simplify the workflow for new users reading the tutorial
What's Changed FIX: show edge of heatmap for categorical histograms by @mbaak in https://github.com...
This version only changes the setup script so that the version on PyPI exactly matches the version i...
Tutorial dataset for pyseer. See https://pyseer.readthedocs.io/en/master/tutorial.htm
Histogrammar is a suite of data aggregation primitives designed for use in parallel processing. In t...
Recognizes PySpark Columns as a kind of user function. Wraps PySpark DataFrames with Histogrammar me...
Histogrammar is a suite of data aggregation primitives designed for use in parallel processing. In t...
This version only changes poms so that the version on Maven Central exactly matches the version in G...
Boost-histogram is a new Python library that provides Histograms that can be filled, manipulated, sl...
Max Baak (mbaak) added visualization methods for Categorize in Matplotlib and PyROOT, as well as fix...
Introduces the h.plot.root(), h.plot.matplotlib(), h.plot.bokeh() syntax for plotting front-ends, sy...
An overview of Python histogramming packages and presentation of boost-histogram
Version 1.0.24, Apr 2021 Categorize histogram now handles nones and nans in friendlier way, they ar...
Boost.Histogram, a header-only C++14 library that provides multidimensional histograms and profiles,...
The data for Selene's quickstart training tutorial. Updated from 0.0.0 because the hg19 FASTA file ...
This version provides many new features from boost-histogram 0.12 and 0.13; see the changelog in boo...
What's Changed FIX: show edge of heatmap for categorical histograms by @mbaak in https://github.com...
This version only changes the setup script so that the version on PyPI exactly matches the version i...
Tutorial dataset for pyseer. See https://pyseer.readthedocs.io/en/master/tutorial.htm
Histogrammar is a suite of data aggregation primitives designed for use in parallel processing. In t...
Recognizes PySpark Columns as a kind of user function. Wraps PySpark DataFrames with Histogrammar me...
Histogrammar is a suite of data aggregation primitives designed for use in parallel processing. In t...
This version only changes poms so that the version on Maven Central exactly matches the version in G...
Boost-histogram is a new Python library that provides Histograms that can be filled, manipulated, sl...
Max Baak (mbaak) added visualization methods for Categorize in Matplotlib and PyROOT, as well as fix...
Introduces the h.plot.root(), h.plot.matplotlib(), h.plot.bokeh() syntax for plotting front-ends, sy...
An overview of Python histogramming packages and presentation of boost-histogram
Version 1.0.24, Apr 2021 Categorize histogram now handles nones and nans in friendlier way, they ar...
Boost.Histogram, a header-only C++14 library that provides multidimensional histograms and profiles,...
The data for Selene's quickstart training tutorial. Updated from 0.0.0 because the hg19 FASTA file ...
This version provides many new features from boost-histogram 0.12 and 0.13; see the changelog in boo...
What's Changed FIX: show edge of heatmap for categorical histograms by @mbaak in https://github.com...
This version only changes the setup script so that the version on PyPI exactly matches the version i...
Tutorial dataset for pyseer. See https://pyseer.readthedocs.io/en/master/tutorial.htm
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