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Commit 2e5bf6e

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jonmmeasejonmmease
authored
Release 3.3.0 (plotly#1205)
* Bump version for release candidate * Update changelong for version 3.3.0 * Build js * Add codegen special case for `layout.polar.bargap` and `layout.polar.barmode` * Add bdist_wheel to release instructions * Bump versions to final * Update installation instruction versions to final * Finalize changelog
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‎CHANGELOG.md

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All notable changes to this project will be documented in this file.
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This project adheres to [Semantic Versioning](http://semver.org/).
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## [3.3.0] - 2018-09-28
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### Updated
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- Updated Plotly.js to version 1.41.3. Select highlights included below, see
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[the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1413----2018-09-25)
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for more information.
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- Do not create or check permissions on the `~/.plotly` configuration
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directory until a configuration write operation is performed
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([#1195](https://github.com/plotly/plotly.py/pull/1195)). This change
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avoids some concurrency problems associated with running many instances of
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plotly.py simultaneously
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([#1068](https://github.com/plotly/plotly.py/issues/1068)).
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### Added
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- Enable selection by clicking on points via new layout attribute `clickmode` and flag `'select'`
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([#2944](https://github.com/plotly/plotly.js/pull/2944))
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- Added stacked area charts via new attributes `stackgroup` and `stackgaps` in scatter traces
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([#2960](https://github.com/plotly/plotly.js/pull/2960))
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- Added `barpolar` trace type - which replace and augment area traces
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([#2954](https://github.com/plotly/plotly.js/pull/2954))
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- Added `polar.hole` layout parameter to punch hole at the middle of polar
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subplot offsetting the start of the radial range
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([#2977](https://github.com/plotly/plotly.js/pull/2977), [#2996](https://github.com/plotly/plotly.js/pull/2996))
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- Figures may now be easily converted to and from JSON using the new
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`to_json`, `from_json`, `read_json`, and `write_json` functions in the
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`plotly.io` package
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([#1188](https://github.com/plotly/plotly.py/pull/1188))
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- Figures and graph objects now support `deepcopy` and `pickle` operations
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([#1191](https://github.com/plotly/plotly.py/pull/1191))
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- The location of the `"~/.plotly"` settings directory may now be customized
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using the `PLOTLY_DIR` environment variable
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([#1195](https://github.com/plotly/plotly.py/pull/1195))
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- Added optional `scaleratio` argument to the `create_quiver` figure factory.
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When specified, the axes are restricted to this ratio and the quiver arrows
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are computed to have consistent lengths across angles.
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([#1197](https://github.com/plotly/plotly.py/pull/1197))
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### Fixed
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- Replace use of `pkg_resources.resource_string` with `pkgutil.get_data` to
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improve compatibility with `cx_Freeze`
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([#1201](https://github.com/plotly/plotly.py/pull/1201))
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- An exception is no longer raised when an optional dependency raises an
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exception on import. The exception is logged and plotly.py continues as if
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the dependency were not installed
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([#1192](https://github.com/plotly/plotly.py/pull/1192))
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- Fixed invalid dendrogram axis labels when the points being clustered contain
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duplicate values
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([#1186](https://github.com/plotly/plotly.py/pull/1186))
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- Added missing LICENSE.txt file to PyPI source distribution
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([#765](https://github.com/plotly/plotly.py/issues/765))
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### JupyterLab Versions
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For use with JupyterLab, the following versions of the following packages
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must be installed:
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- Python Packages
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- plotly==3.3.0
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- ipywidgets>=7.2
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- notebook>=5.3
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- jupyterlab==0.34
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- JupyterLab Extensions
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- plotlywidget@0.4.0
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- @jupyter-widgets/jupyterlab-manager@0.37
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- @jupyterlab/plotly-extension@0.17
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## [3.2.1] - 2018-09-14
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This is a patch release that fixes a few bugs and reintroduces a few
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version 2 features that were not supported in version 3.

‎README.md

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plotly.py may be installed using pip...
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```
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pip install plotly==3.2.1
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pip install plotly==3.3.0
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```
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or conda.
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```
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conda install -c plotly plotly=3.2.1
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conda install -c plotly plotly=3.3.0
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```
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### Jupyter Notebook Support
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jupyter labextension install @jupyter-widgets/jupyterlab-manager@0.37 --no-build
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# FigureWidget support
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jupyter labextension install plotlywidget@0.3.0 --no-build
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jupyter labextension install plotlywidget@0.4.0 --no-build
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# offline iplot support
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jupyter labextension install @jupyterlab/plotly-extension@0.17 --no-build
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jupyter labextension install @jupyterlab/plotly-extension@0.17.2 --no-build
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# Build extensions (must be done to activate extensions since --no-build is used above)
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jupyter lab build

‎codegen/utils.py

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# Get list of additional layout properties for each trace
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trace_layouts = [
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plotly_schema['traces'][trace].get('layoutAttributes', {})
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for trace in plotly_schema['traces']]
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for trace in plotly_schema['traces'] if trace != 'barpolar']
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extra_polar_nodes = (plotly_schema['traces']['barpolar']
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.get('layoutAttributes', {}))
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layout['polar'].update(extra_polar_nodes)
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# Chain together into layout_data
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self.layout_data = ChainMap(layout, *trace_layouts)

‎contributing.md

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```bash
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(plotly.py) $ git checkout release_X.Y.Z
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(plotly.py) $ git stash
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(plotly.py) $ python setup.py sdist
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(plotly.py) $ python setup.py sdist bdist_wheel
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(plotly.py) $ twine upload dist/plotly-X.Y.Zrc1*
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```
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‎js/package-lock.json

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‎js/package.json

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{
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"name": "plotlywidget",
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"version": "0.3.0",
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"version": "0.4.0",
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"description": "The plotly.py ipywidgets library",
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"author": "The plotly.py team",
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"license": "MIT",

‎plotly/graph_objs/_layout.py

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angularaxis
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plotly.graph_objs.layout.polar.AngularAxis
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instance or dict with compatible properties
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bargap
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Sets the gap between bars of adjacent location
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coordinates. Values are unitless, they
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represent fractions of the minimum difference
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in bar positions in the data.
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barmode
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Determines how bars at the same location
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coordinate are displayed on the graph. With
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"stack", the bars are stacked on top of one
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another With "overlay", the bars are plotted
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over one another, you might need to an
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"opacity" to see multiple bars.
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bgcolor
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Set the background color of the subplot
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domain

‎plotly/graph_objs/layout/_polar.py

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def angularaxis(self, val):
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self['angularaxis'] = val
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# bargap
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# ------
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@property
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def bargap(self):
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"""
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Sets the gap between bars of adjacent location coordinates.
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Values are unitless, they represent fractions of the minimum
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difference in bar positions in the data.
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The 'bargap' property is a number and may be specified as:
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- An int or float in the interval [0, 1]
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Returns
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-------
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int|float
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"""
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return self['bargap']
279+
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@bargap.setter
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def bargap(self, val):
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self['bargap'] = val
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# barmode
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# -------
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@property
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def barmode(self):
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"""
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Determines how bars at the same location coordinate are
290+
displayed on the graph. With "stack", the bars are stacked on
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top of one another With "overlay", the bars are plotted over
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one another, you might need to an "opacity" to see multiple
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bars.
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The 'barmode' property is an enumeration that may be specified as:
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- One of the following enumeration values:
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['stack', 'overlay']
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Returns
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-------
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Any
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"""
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return self['barmode']
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@barmode.setter
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def barmode(self, val):
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self['barmode'] = val
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# bgcolor
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# -------
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@property
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angularaxis
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plotly.graph_objs.layout.polar.AngularAxis instance or
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dict with compatible properties
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bargap
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Sets the gap between bars of adjacent location
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coordinates. Values are unitless, they represent
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fractions of the minimum difference in bar positions in
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the data.
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barmode
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Determines how bars at the same location coordinate are
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displayed on the graph. With "stack", the bars are
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stacked on top of one another With "overlay", the bars
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are plotted over one another, you might need to an
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"opacity" to see multiple bars.
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bgcolor
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Set the background color of the subplot
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domain
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self,
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arg=None,
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angularaxis=None,
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bargap=None,
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barmode=None,
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bgcolor=None,
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domain=None,
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gridshape=None,
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angularaxis
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plotly.graph_objs.layout.polar.AngularAxis instance or
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dict with compatible properties
835+
bargap
836+
Sets the gap between bars of adjacent location
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coordinates. Values are unitless, they represent
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fractions of the minimum difference in bar positions in
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the data.
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barmode
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Determines how bars at the same location coordinate are
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displayed on the graph. With "stack", the bars are
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stacked on top of one another With "overlay", the bars
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are plotted over one another, you might need to an
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"opacity" to see multiple bars.
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bgcolor
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Set the background color of the subplot
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domain
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# Initialize validators
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# ---------------------
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self._validators['angularaxis'] = v_polar.AngularAxisValidator()
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self._validators['bargap'] = v_polar.BargapValidator()
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self._validators['barmode'] = v_polar.BarmodeValidator()
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self._validators['bgcolor'] = v_polar.BgcolorValidator()
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self._validators['domain'] = v_polar.DomainValidator()
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self._validators['gridshape'] = v_polar.GridshapeValidator()
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# ----------------------------------
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_v = arg.pop('angularaxis', None)
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self['angularaxis'] = angularaxis if angularaxis is not None else _v
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_v = arg.pop('bargap', None)
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self['bargap'] = bargap if bargap is not None else _v
919+
_v = arg.pop('barmode', None)
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self['barmode'] = barmode if barmode is not None else _v
844921
_v = arg.pop('bgcolor', None)
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self['bgcolor'] = bgcolor if bgcolor is not None else _v
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_v = arg.pop('domain', None)

‎plotly/validators/layout/_polar.py

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angularaxis
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plotly.graph_objs.layout.polar.AngularAxis
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instance or dict with compatible properties
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bargap
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Sets the gap between bars of adjacent location
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coordinates. Values are unitless, they
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represent fractions of the minimum difference
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in bar positions in the data.
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barmode
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Determines how bars at the same location
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coordinate are displayed on the graph. With
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"stack", the bars are stacked on top of one
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another With "overlay", the bars are plotted
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over one another, you might need to an
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"opacity" to see multiple bars.
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bgcolor
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Set the background color of the subplot
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domain

‎plotly/validators/layout/polar/__init__.py

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from ._gridshape import GridshapeValidator
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from ._domain import DomainValidator
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from ._bgcolor import BgcolorValidator
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from ._barmode import BarmodeValidator
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from ._bargap import BargapValidator
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from ._angularaxis import AngularAxisValidator

‎plotly/validators/layout/polar/_bargap.py

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import _plotly_utils.basevalidators
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class BargapValidator(_plotly_utils.basevalidators.NumberValidator):
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def __init__(
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self, plotly_name='bargap', parent_name='layout.polar', **kwargs
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):
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super(BargapValidator, self).__init__(
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plotly_name=plotly_name,
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parent_name=parent_name,
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edit_type=kwargs.pop('edit_type', 'calc'),
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max=kwargs.pop('max', 1),
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min=kwargs.pop('min', 0),
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role=kwargs.pop('role', 'style'),
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**kwargs
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)

‎plotly/validators/layout/polar/_barmode.py

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import _plotly_utils.basevalidators
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class BarmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
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def __init__(
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self, plotly_name='barmode', parent_name='layout.polar', **kwargs
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):
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super(BarmodeValidator, self).__init__(
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plotly_name=plotly_name,
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parent_name=parent_name,
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edit_type=kwargs.pop('edit_type', 'calc'),
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role=kwargs.pop('role', 'info'),
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values=kwargs.pop('values', ['stack', 'overlay']),
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**kwargs
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)

‎plotly/version.py

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__version__ = '3.2.1'
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__frontend_version__ = '^0.3.0'
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__version__ = '3.3.0'
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__frontend_version__ = '^0.4.0'
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def stable_semver():

‎plotlywidget/static/index.js

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/* 19 */
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/***/ (function(module, exports) {
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module.exports = {"name":"plotlywidget","version":"0.3.0","description":"The plotly.py ipywidgets library","author":"The plotly.py team","license":"MIT","main":"src/index.js","repository":{"type":"git","url":"https://github.com/plotly/plotly.py"},"keywords":["jupyter","widgets","ipython","ipywidgets","plotly"],"files":["src/**/*.js","dist/*.js"],"scripts":{"clean":"rimraf dist/ && rimraf ../plotlywidget/static","prepublish":"webpack","test":"echo \"Error: no test specified\" && exit 1"},"devDependencies":{"webpack":"^3.10.0","rimraf":"^2.6.1","ify-loader":"^1.1.0"},"dependencies":{"plotly.js":"1.41.3","@jupyter-widgets/base":"^1.0.0","lodash":"^4.17.4"},"jupyterlab":{"extension":"src/jupyterlab-plugin"}}
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module.exports = {"name":"plotlywidget","version":"0.4.0","description":"The plotly.py ipywidgets library","author":"The plotly.py team","license":"MIT","main":"src/index.js","repository":{"type":"git","url":"https://github.com/plotly/plotly.py"},"keywords":["jupyter","widgets","ipython","ipywidgets","plotly"],"files":["src/**/*.js","dist/*.js"],"scripts":{"clean":"rimraf dist/ && rimraf ../plotlywidget/static","prepublish":"webpack","test":"echo \"Error: no test specified\" && exit 1"},"devDependencies":{"webpack":"^3.10.0","rimraf":"^2.6.1","ify-loader":"^1.1.0"},"dependencies":{"plotly.js":"1.41.3","@jupyter-widgets/base":"^1.0.0","lodash":"^4.17.4"},"jupyterlab":{"extension":"src/jupyterlab-plugin"}}
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/***/ }),
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/* 20 */

‎plotlywidget/static/index.js.map

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