Closed bdrum closed 3 years ago
ROOT has excellent histogram tools with different visualizations modes (error bars, markers), operations for histogram such as ratio or difference.
What I need is
I've seen many of histogramming tools including ROOT, e.g. scikit-hep/hist scikit-hep/aghast scikit-hep/boost-histogram numpy.histogram
Perhaps many of these tick could be easy solved via let say standard packages, e.g. stats could be provided by pd.describe (except overflow and integral)
Could be solve with pandas plots.
bdrum
commented
3 years ago
ROOT has excellent histogram tools with different visualizations modes (error bars, markers), operations for histogram such as ratio or difference.
What I need is
I've seen many of histogramming tools including ROOT, e.g. scikit-hep/hist scikit-hep/aghast scikit-hep/boost-histogram numpy.histogram
Perhaps many of these tick could be easy solved via let say standard packages, e.g. stats could be provided by pd.describe (except overflow and integral)