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Copy file name to clipboardExpand all lines: CHANGELOG.md
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## [4.6] - 2020-03-31
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### Updated
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- Updated Plotly.js to version 1.53.0. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/v1.53.0/CHANGELOG.md) for more information on the numerous new features and bug fixes of this release. The main features of the Plotly.js release are
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- Introduce a new unified x (or y) hovermode, in which the hover box shows
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the information for all traces at a given x (or y) position
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- Introduce rangebreaks on date axes (for example, to remove week-ends)
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- Add node.customdata and link.customdata to sankey traces
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- Introduce range breaks on date axes (for example, to remove week-ends) via `layout.xaxis.rangebreaks`
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- Introduce a new unified x (or y) hovermode (`layout.hovermode="x unified"`), in which the hover box shows the information for all traces at a given x (or y) position
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- Add `node.customdata` and `link.customdata` to sankey traces
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- Updated [contributing notes](https://github.com/plotly/plotly.py/blob/master/contributing.md) for more explanations on how to contribute to plotly.py [#2290](https://github.com/plotly/plotly.py/pull/2290). Please give feedback on these notes!
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- Updated documentation examples to explain how to use cufflinks with plotly
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[#2325](https://github.com/plotly/plotly.py/pull/2325), and to show how to color links in Sankey diagrams
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[#2291](https://github.com/plotly/plotly.py/pull/2291). Also corrected typos
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and formatting in doc examples. Special thanks to
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[@SylwiaOliwia2](https://github.com/@SylwiaOliwia2) and [@dangercrow](https://github.com/@dangercrow) for improving our documentation!
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- Updated documentation examples [#2325](https://github.com/plotly/plotly.py/pull/2325), and to show how to color links in Sankey diagrams [#2291](https://github.com/plotly/plotly.py/pull/2291).
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- Special thanks to [@SylwiaOliwia2](https://github.com/SylwiaOliwia2) and [@dangercrow](https://github.com/dangercrow) for improving our documentation!
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### Added
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-`px.imshow` now accepts [`xarray`](http://xarray.pydata.org/), with metadata
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being used for axis labels, hover and colorbar [#2166](https://github.com/plotly/plotly.py/pull/2166)
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-`px.imshow` now accepts [`xarray`](http://xarray.pydata.org/) inputs, with metadata being used for axis labels, hover and colorbar [#2166](https://github.com/plotly/plotly.py/pull/2166)
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### Fixed
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- Remove unsupported opacity kwarg from `pie` and `funnel_area` px functions [#2294](https://github.com/plotly/plotly.py/pull/2294)
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- Fixed handling of `opacity` in `px.density_mapbox`[#2317](https://github.com/plotly/plotly.py/pull/2317),
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with thanks to [@tvaucher](https://github.com/tvaucher) for the contribution!
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- Fixed handling of `opacity` in `px.pie`, `px.funnel_area`, `px.density_mapbox`, `px.funnel`[#2317](https://github.com/plotly/plotly.py/pull/2317), with thanks to [@tvaucher](https://github.com/tvaucher) for the contribution!
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## [4.5.4] - 2020-03-11
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### Updated
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- The documentation of the API https://plot.ly/python-api-reference/ now
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documents the full API [#2243](https://github.com/plotly/plotly.py/pull/2243)
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- New documentation examples for facets [#2235](https://github.com/plotly/plotly.py/pull/2235), legend [#2227](https://github.com/plotly/plotly.py/pull/2227), subplots [#2226](https://github.com/plotly/plotly.py/pull/2226), axes [#2234](https://github.com/plotly/plotly.py/pull/2234) and histograms [#2242](https://github.com/plotly/plotly.py/pull/2242).
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- New documentation examples for facets [#2235](https://github.com/plotly/plotly.py/pull/2235), legend [#2227](https://github.com/plotly/plotly.py/pull/2227), subplots [#2226](https://github.com/plotly/plotly.py/pull/2226), axes [#2234](https://github.com/plotly/plotly.py/pull/2234) and histograms [#2242](https://github.com/plotly/plotly.py/pull/2242).
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Thanks to [@SylwiaOliwia2](https://github.com/@SylwiaOliwia2) for all these great
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