Jan Pipek

In some cases, it is valuable to at least approximate the quantiles. This can be done using interpolation (linear or more complex).

If this were to be supported, we would need to have support for two axes being semantically entangled.

h1 (resp. calculate_frequencies) is too slow

2

Actually, ~10 times slower than `np.histogram`. It has its reasons but (being more general) but in the simple case, we should not add any overhead. Suggestion: when parameters allow, fall...

This feature becomes available as of Python 3.7.

3D histogram plot as semi-transparent boxes

2

This, however, needs something else than matplotlib.

Stacked histograms

1

Asked at PyData Berlin. A must...

Pretty exponential bins

1

Should be easy

Datetime / calendar histograms

1

Requirements: Possible axes: 1) month (cyclic) 2) year (continuous) 3) year+month (continuous) 4) day (continuous) 5) hour (cyclic) 6) weekday (cyclic) 7) week+weekday (continuous) 8) year + week (continuous) ......

- [ ] physt.compat.root.from_root(TH1F...) - [ ] physt.compat.root.to_root(HistogramBase)

It would probably be complicated as all calculation is based on numpy.