History

0.6.5 (2022-01-26)

'model' option for error bars, showing Poisson quantiles (#14)
Fix vmin/vmax for matplotlib >3.3, resume CI tests (#15)
Hist1d.data_for_plot returns numbers used in error calculation

0.6.4 (2021-01-17)

Prevent object array creation (#12)

0.6.3 (2020-01-22)

Feldman-Cousins errors for Hist1d.plot (#10)

0.6.2 (2020-01-15)

Fix rebinning for empty histograms (#9)

0.6.1 (2019-12-05)

Fixes for #7 (#8)

0.6.0 (2019-06-30)

Correct step plotting at edges, other plotting fixes
Histogram numpy structured arrays
Fix deprecation warnings (#6)
lookup_hist
.max() and .min() methods
percentile support for higher-dimensional histograms
Improve Hist1d.get_random (also randomize in bin)

0.5.4 (2017-09-20)

Fix issue with input from dask

0.5.3 (2017-09-18)

Fix python 2 support

0.5.2 (2017-08-08)

Fix colorbar arguments to Histdd.plot (#4)
percentile for Hist1d
rebin method for Histdd (experimental)

0.5.1 (2017-03-22)

get_random for Histdd no longer just returns bin centers (Hist1d does stil...)
lookup for Hist1d. When will I finally merge the classes...

0.5.0 (2016-10-07)

pandas.DataFrame and dask.dataframe support
dimensions option to Histdd to init axis_names and bin_centers at once

0.4.3 (2016-10-03)

Remove matplotlib requirement (still required for plotting features)

0.4.2 (2016-08-10)

Fix small bug for >=3 d histograms

0.4.1 (2016-17-14)

get_random and lookup for Histdd. Not really tested yet.

0.4.0 (2016-02-05)

.std function for Histdd
Fix off-by-one errors

0.3.0 (2015-09-28)

Several new histdd functions: cumulate, normalize, percentile...
Python 2 compatibility

0.2.1 (2015-08-18)

Histdd functions sum, slice, average now also work

0.2 (2015-08-06)

Multidimensional histograms
Axes naming

0.1.1-4 (2015-08-04)

Correct various rookie mistakes in packaging... Hey, it's my first pypi package!

0.1 (2015-08-04)

Initial release

Hist1d, Hist2d
Basic test suite
Basic readme