Added features to sparksql so that it can be called like this: val result = myDataFrame.Bin(100, -5, 5, myColumn) and a Py4J-friendly interface so that it can be called from PySpark as well. Running SparkSQL Histogrammar in PySpark will actually call Histogrammar-Scala for better performance
astroQTpy (astronomy quadtrees in python) is a Python package for efficiently mapping 2D parameter s...
Fixes SPARQL queries with words "values", "minus", or "service" in its comments no longer incorrect...
This version only changes poms so that the version on Maven Central exactly matches the version in G...
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...
Added make_histograms functionality from popmon to dataframes - Add n_dim and datatype properties to...
Histogrammar is a suite of data aggregation primitives designed for use in parallel processing. In t...
Version 1.0.24, Apr 2021 Categorize histogram now handles nones and nans in friendlier way, they ar...
Spark SQL is a new module in Apache Spark that integrates rela-tional processing with Spark’s functi...
Boost.Histogram, a header-only C++14 library that provides multidimensional histograms and profiles,...
Tutorial data reader has been added to core to simplify the workflow for new users reading the tutor...
The boost-histogram library provides first-class histogram objects in Python. You can compose axes a...
This is an introductory book on PySpark. This book is about PySpark: Python API for Spark.Apache Spa...
Boost-histogram is a new Python library that provides Histograms that can be filled, manipulated, sl...
This and other tables are enhanced with spark lines from the JSparklines library that are created us...
astroQTpy (astronomy quadtrees in python) is a Python package for efficiently mapping 2D parameter s...
Fixes SPARQL queries with words "values", "minus", or "service" in its comments no longer incorrect...
This version only changes poms so that the version on Maven Central exactly matches the version in G...
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...
Added make_histograms functionality from popmon to dataframes - Add n_dim and datatype properties to...
Histogrammar is a suite of data aggregation primitives designed for use in parallel processing. In t...
Version 1.0.24, Apr 2021 Categorize histogram now handles nones and nans in friendlier way, they ar...
Spark SQL is a new module in Apache Spark that integrates rela-tional processing with Spark’s functi...
Boost.Histogram, a header-only C++14 library that provides multidimensional histograms and profiles,...
Tutorial data reader has been added to core to simplify the workflow for new users reading the tutor...
The boost-histogram library provides first-class histogram objects in Python. You can compose axes a...
This is an introductory book on PySpark. This book is about PySpark: Python API for Spark.Apache Spa...
Boost-histogram is a new Python library that provides Histograms that can be filled, manipulated, sl...
This and other tables are enhanced with spark lines from the JSparklines library that are created us...
astroQTpy (astronomy quadtrees in python) is a Python package for efficiently mapping 2D parameter s...
Fixes SPARQL queries with words "values", "minus", or "service" in its comments no longer incorrect...
This version only changes poms so that the version on Maven Central exactly matches the version in G...
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