.. :changelog:

History
-------

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0.6.5 (2022-01-26)
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* '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

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0.6.4 (2021-01-17)
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* Prevent object array creation (#12)

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0.6.3 (2020-01-22)
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* Feldman-Cousins errors for Hist1d.plot (#10)

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0.6.2 (2020-01-15)
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* Fix rebinning for empty histograms (#9)

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0.6.1 (2019-12-05)
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* Fixes for #7 (#8)

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0.6.0 (2019-06-30)
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* 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)

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0.5.4 (2017-09-20)
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* Fix issue with input from dask

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0.5.3 (2017-09-18)
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* Fix python 2 support

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0.5.2 (2017-08-08)
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* Fix colorbar arguments to Histdd.plot (#4)
* percentile for Hist1d
* rebin method for Histdd (experimental)

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0.5.1 (2017-03-22)
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* get_random for Histdd no longer just returns bin centers (Hist1d does stil...)
* lookup for Hist1d. When will I finally merge the classes...

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0.5.0 (2016-10-07)
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* pandas.DataFrame and dask.dataframe support
* dimensions option to Histdd to init axis_names and bin_centers at once

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0.4.3 (2016-10-03)
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* Remove matplotlib requirement (still required for plotting features)

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0.4.2 (2016-08-10)
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* Fix small bug for >=3 d histograms

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0.4.1 (2016-17-14)
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* get_random and lookup for Histdd. Not really tested yet.

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0.4.0 (2016-02-05)
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* .std function for Histdd
* Fix off-by-one errors

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0.3.0 (2015-09-28)
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* Several new histdd functions: cumulate, normalize, percentile...
* Python 2 compatibility

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0.2.1 (2015-08-18)
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* Histdd functions sum, slice, average now also work

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0.2 (2015-08-06)
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* Multidimensional histograms
* Axes naming

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0.1.1-4 (2015-08-04)
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Correct various rookie mistakes in packaging...
Hey, it's my first pypi package!

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0.1 (2015-08-04)
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Initial release

* Hist1d, Hist2d
* Basic test suite
* Basic readme