- Fix jupyter dependencies.
- Update to 3.10.0
  + Updated
    * Updated Plotly.js to version 1.48.1. 
  + Added
    * Added funnel trace
    * Added funnelarea traces
    * Added support for shared color axes via coloraxis attributes in the layout
    * Added support for sorting categorical cartesian axes by value
    * Added `bingroup` to `histogram`, `histogram2d` and `histogram2dcontour`
      to group traces to have compatible auto-bin values
    * Add legend `itemclick` and `itemdoubleclick` attributes to set or disable
      the legend item click and double-click behavior
    * Added support for calling orca through [Xvfb](https://www.x.org/releases/X11R7.6/doc/man/man1/Xvfb.1.xhtml)
      to support static image export on Linux when X11 is not available
  + Fixed
    * Fixed `PlotlyJSONEncoder` encoding error when `simplejson` is installed
    * HTML export now honors the figure height specified in the figure template
    * Fixed display height of figure displayed in JupyterLab
    * Fixed honouring of the `validate=False` option for all renderer types
- Update to 3.9.0
  + Updated
    * Updated Plotly.js to version 1.47.4.
  + Added
    * Added "magic underscore" support for specifying nested figure properties
    * Added `select_traces`, `for_each_trace`, and `update_traces` figure
      methods for accessing and updating traces by subplot location and trace
      properties
    * Added `select_*`, `for_each_*`, and `update_*` figure methods for
      accessing and updating subplot objects (`xaxis`, `scene`, `polar`, etc)
    * Added support for Dash Design Kit style color specifications
    * Added support for the `plotly_unselect` plotly.js event in a new
      `on_unselect` trace method 
  + Changed
    * Changed the default colorscale to be `plasma` for the `plotly`, `plotly_white`, and
      `plotly_dark` templates for plotly.py version 4
    * Reordered the default colorway for the `plotly`, `plotly_white`, and
      `plotly_dark` templates for plotly.py version 4
  + Fixed
    * Fixed package listing in setup.py
    * Fixed built-in templates so that `heatmap` colorscales can be overridden
      without specifying `autocolorscale=False`
    * Fix `UnboundLocalError` error in the presence of a missing or corrupt
      `~/.plotly/.config` file
    * Fixed error when combining `sankey` traces with cartesian subplots

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

- Fix dependency issue.

• Files Changed
• Browse Source

- Update to version 3.5.0
  + Updated
    * Updated Plotly.js to version 1.43.1. See the
      plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1431----2018-12-21)
      or more information.
  + Changed
    * Plotly.js 1.43 converted `title` properties (e.g. `layout.title`) from
      trings into compound objects that contain the text as the `text` property
      long with new title placement attributes `x`, `y`, `xref`, `yref`, `xanchor`,
      yanchor` and `pad`. Plotly.py 3.5.0 follows the new schema, but still
      upports specifying `title` as a string, in which case the string is assigned
      o the `title.text` property
      [#1302](https://github.com/plotly/plotly.py/issues/1302))
    * Plotly.js 1.43 also moved existing `title*` properties
      e.g. `layout.titlefont`) under the `title` object (e.g. `layout.title.font`).
      lotly.py 3.5.0 follows the new schema, but still
      upports the legacy `title*` properties by mapping them to the corresponding
      title.*` property
      [#1302](https://github.com/plotly/plotly.py/issues/1302))
    * The `update` method on `graph_objs` now returns the updated object in order
      o support chaining multiple update operations together
      [#1379](https://github.com/plotly/plotly.py/issues/1379))
    * The `show_link` option has been set to `False` by default in the offline
      plot` and `iplot` functions. Now that the "send data to cloud" button has
      een disabled by default in plotly.js 1.43.0, no buttons/links will be
      isplayed by default that result in data being sent off of the local machine
      [#1304](https://github.com/plotly/plotly.py/issues/1304))
    * `config` options that are not known by plotly.py result in a warning but are
      till passed along to plotly.js. Prior to this change these unknown options
      ere dropped silently
      [#1290](https://github.com/plotly/plotly.py/issues/1290))
    * Built-in themes now specify colorscales using the new global
      layout.colorscale` properties.  Previously the colorscales were defined for
      ach trace type individually. This reduces the size of the resulting theme
      iles 
      [#1303](https://github.com/plotly/plotly.py/issues/1303))
    * Increased the maximum retry time of the orca integration from 8s to 30s
      [#1297](https://github.com/plotly/plotly.py/issues/1297))
  + Fixed
    * Fixed `FigureWidget` performance regression that, when working with
      arge datasets, resulted in a slight freeze of the widget after user
      nteractions (pan, zoom, etc)
      [1305](https://github.com/plotly/plotly.py/issues/1305)) 
    * Fix orca error when the `ELECTRON_RUN_AS_NODE` environment variable is set
      [#1293](https://github.com/plotly/plotly.py/issues/1293))
    * The `'responsive'` config key was being silently blocked
      [#1290](https://github.com/plotly/plotly.py/issues/1290))
    * Fixed error when using unicode characters in string properties on Python 2
      [#1289](https://github.com/plotly/plotly.py/issues/1289))
    * Removed invalid calls to non-existent `validate` and `strip_style` `Figure`
      ethods in matplotlylib conversion logic 
      [#1128](https://github.com/plotly/plotly.py/issues/1128))
- Update to version 3.4.2
  + Fixed
    * `config` options are now supported when using `plotly.offline.iplot` to
      isplay a figure in JupyterLab. Requires version 0.18.1 of the 
      @jupyterlab/plotly-extension` extension.
      [#1281](https://github.com/plotly/plotly.py/pull/1281),
      jupyterlab/jupyter-renderers#168](https://github.com/jupyterlab/jupyter-renderers/pull/168))
    * Custom `plotly_domain` values are now supported in FigureWidget in both
      he classic notebook and JupyterLab
      [#1284](https://github.com/plotly/plotly.py/pull/1284)) 
- Update to version 3.4.1
  + Updated
    * Updated Plotly.js to version 1.42.5. See the
      plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1423----2018-11-06)
      or more information.
  + Fixed
    * Fixed histogram binning with pandas `Series` or numpy array
      regression introduced in 3.4.0)
      [#1257](https://github.com/plotly/plotly.py/issues/1257), 
      plotly/plotly.js#3211](https://github.com/plotly/plotly.js/pull/3211))
    * Fixed incorrect validation error on the `args` property of
      layout.updatemenu.Button()` when value is a `list` that starts with a `list`
      [#1265](https://github.com/plotly/plotly.py/issues/1265))
    * Fixed deadlock causing `plotly.io.write_image` to hang on Windows after
      xporting more than ~25 images
      [#1255](https://github.com/plotly/plotly.py/issues/1255))
    * Fixed plot display error for `scattergl` trace with `mode='lines'` and 
      ore than 100k points
      [#1271](https://github.com/plotly/plotly.py/issues/1271))
    * Fixed responsive resizing error with `iplot` in the classic notebook
      [#1263](https://github.com/plotly/plotly.py/pull/1263))
- Update to version 3.4.0
  + Updated
    * Updated Plotly.js to version 1.42.2. Select highlights included below, see
      he [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1422----2018-11-01)
      or more information.
  + Added
    * Default figure properties may now be customized using figure
      emplates (themes) and 7 new predefined templates are bundled with
      lotly.py
      [#1224](https://github.com/plotly/plotly.py/pull/1224))
    * Added Parallel Categories (`parcats`) trace type for the visualization
      f multi-dimensional categorical datasets
      [plotly/plotly.js#2963](https://github.com/plotly/plotly.js/pull/2963))
    * Added LaTeX typesetting support for figures displayed in the Jupyter
      otebook using `plotly.offline.iplot` and `plotly.graph_objs.FigureWidget`.
      *Note:** There are still outstanding issues with MathJax rendering in FireFox,
      ut it is now working well in Chrome.
      [#1243](https://github.com/plotly/plotly.py/pull/1243))
    * Added `include_mathjax` argument to `plotly.offline.plot` to support
      he creation of HTML files with LaTeX typesetting
      [#1243](https://github.com/plotly/plotly.py/pull/1243))
    * Added new `plotly.offline.get_plotlyjs` function that returns the
      ontents of the bundled plotly.js library as a string
      [#637](https://github.com/plotly/plotly.py/issues/637),
      #1246](https://github.com/plotly/plotly.py/pull/1246))
    * Added new `plotly.offline.get_plotlyjs_version` function that returns
      he version of the bundled plotly.js library
      [#1246](https://github.com/plotly/plotly.py/pull/1246))
    * HTML div strings returned by `plotly.offline.plot` now contain logic
      o automatically resize the figure responsively.  This logic was previously
      nly added for html files.
      [#1043](https://github.com/plotly/plotly.py/issues/1043),
      #1234](https://github.com/plotly/plotly.py/pull/1234))
    * Figures displayed using `plotly.offline.iplot` in the classic Jupyter
      otebook will now resize responsively
      [#1234](https://github.com/plotly/plotly.py/pull/1234))
    * Added `'cdn'`, `'directory'`, and path string `include_plotlyjs` options
      n `plotly.offline.plot`
      [#1234](https://github.com/plotly/plotly.py/pull/1234))
      > When `'cdn'`, the resulting html file/div includes a script tag reference
      to the plotlyjs cdn.
      > When `'directory'`, the resulting html file/div includes a script tag
      reference to a plotly.min.js bundle in the same directory as the html file.
      If `output_type` is `'file'` then this plotly.min.js bundle is created in
      the output directory if it doesn't already exist.
      > When a string ending with `'.js'`, the resulting html file/div includes
      a script tag that references this exact path. This can be used to point
      to a plotly.js bundle from an alternative CDN.
    * Added a new `color_threshold` argument to the `create_dendrogram` figure
      actory to control the dendrogram clustering cutoff
      [#995](https://github.com/plotly/plotly.py/issues/995),
      #1075](https://github.com/plotly/plotly.py/pull/1075),
      #1214](https://github.com/plotly/plotly.py/pull/1214))  
    * Added support for `autorange='reversed'` in 3D axes 
      [#803](https://github.com/plotly/plotly.py/issues/803),
      plotly/plotly.js#3141](https://github.com/plotly/plotly.js/pull/3141))
    * Added new gl3d tick and title auto-rotation algorithm that limits text
      verlaps
      [plotly/plotly.js#3084](https://github.com/plotly/plotly.js/pull/3084),
      plotly/plotly.js#3131](https://github.com/plotly/plotly.js/pull/3131))
    * Added `modebar` layout style attributes:
      orientation`, `bgcolor`, `color` and `activecolor`
      [plotly/plotly.js#3068](https://github.com/plotly/plotly.js/pull/3068),
      plotly/plotly.js#3091](https://github.com/plotly/plotly.js/pull/3091))
    * Added `title`, `titleposition` and `titlefont` attributes to pie traces
      [plotly/plotly.js#2987](https://github.com/plotly/plotly.js/pull/2987))
    * Added `hoverlabel.split` attribute to `ohlc` and `candlestick` traces to
      plit hover labels into multiple pieces
      [plotly/plotly.js#2959](https://github.com/plotly/plotly.js/pull/2959))
    * Added support for `line.shape` values `'hv'`, `'vh'`, `'hvh'`
      nd `'vhv'` in `scattergl` traces
      [plotly/plotly.js#3087](https://github.com/plotly/plotly.js/pull/3087))
    * Added trace, node and link `hoverinfo` for `sankey` traces
      [#3096](https://github.com/plotly/plotly.js/pull/3096),
      #3150](https://github.com/plotly/plotly.js/pull/3150))
    * Added per-sector `textfont` settings in pie traces
      [#3130](https://github.com/plotly/plotly.js/pull/3130))
  + Changed
    * Use new Plotly logo in "Produced with Plotly" modebar button
      [plotly/plotly.js#3068](https://github.com/plotly/plotly.js/pull/3068))
  + Fixed
    * Plotly's use of MathJax for LaTeX typesetting no longer interferes with
      he Jupyter Notebook's use of MathJax
      [#445](https://github.com/plotly/plotly.py/issues/445), 
      #360](https://github.com/plotly/plotly.py/issues/360))
    * Fixed several issues with the use of `reversescale=True` in the
      create_annotated_heatmap` figure factory
      [#1251](https://github.com/plotly/plotly.py/pull/1251))
    * Fixed case where `plotly.offline.iplot` would fail to render in the classic
      upyter Notebook if the notebook contained a Markdown headline with the text
      Plotly"
      [#816](https://github.com/plotly/plotly.py/issues/816))
    * `None` values in a `scatter.hovertext` list are now omitted from the 
      over label rather than being displayed as the string `"None"`
      [#1244](https://github.com/plotly/plotly.py/issues/1244))
    * Subplot titles created by `plotly.tools.make_subplots` are now positioned
      roperly when custom `row_width`/`column_width` arguments are specified
      [#1229](https://github.com/plotly/plotly.py/issues/1229))
    * The `bar.width` property may now be specified as a numpy array or a pandas
      eries
      [#1231](https://github.com/plotly/plotly.py/issues/1231), 
      plotly/plotly.js#3169](https://github.com/plotly/plotly.js/pull/3169))
    * Error bars are now scaled correctly for logarithmic `scatter3d` traces
      [#1139](https://github.com/plotly/plotly.py/issues/1139))
    * Use `uuid.uuid4` rather than `uuid.uuid1` to work around an upstream
      ython bug
      [#1235](https://github.com/plotly/plotly.py/issues/1235),
      [#1236](https://github.com/plotly/plotly.py/pull/1236))
    * The `layout.grid.subplots` property may now be specified as a 2D list of 
      ubplot identifiers
      [#1220](https://github.com/plotly/plotly.py/issues/1220),
      #1240](https://github.com/plotly/plotly.py/pull/1240))
    * Fixed `scatter3d` text alignment
      [#1055](https://github.com/plotly/plotly.py/issues/1055),
      plotly/plotly.js#3180](https://github.com/plotly/plotly.js/pull/3180))
  + JupyterLab Versions
    For use with JupyterLab, the following versions of the following packages
    must be installed:
    * Python Packages
      > plotly==3.4.0
      > ipywidgets>=7.2
      > notebook>=5.3
      > jupyterlab==0.35
    * JupyterLab Extensions
      > plotlywidget@0.5.0
      > @jupyter-widgets/jupyterlab-manager@0.38
      > @jupyterlab/plotly-extension@0.18
- Update to version 3.3.0
  + Updated
    * Updated Plotly.js to version 1.41.3.  Select highlights included below, see
      the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1413----2018-09-25)
      or more information.
    * Do not create or check permissions on the `~/.plotly` configuration
      irectory until a configuration write operation is performed
      [#1195](https://github.com/plotly/plotly.py/pull/1195)). This change
      voids some concurrency problems associated with running many instances of
      lotly.py simultaneously
      [#1068](https://github.com/plotly/plotly.py/issues/1068)).
  + Added
    * Enable selection by clicking on points via new layout attribute `clickmode` and flag `'select'`
      [#2944](https://github.com/plotly/plotly.js/pull/2944))
    * Added stacked area charts via new attributes `stackgroup` and `stackgaps` in scatter traces
      [#2960](https://github.com/plotly/plotly.js/pull/2960))
    * Added `barpolar` trace type - which replace and augment area traces
      [#2954](https://github.com/plotly/plotly.js/pull/2954))
    * Added `polar.hole` layout parameter to punch hole at the middle of polar
      ubplot offsetting the start of the radial range
      [#2977](https://github.com/plotly/plotly.js/pull/2977), [#2996](https://github.com/plotly/plotly.js/pull/2996))
    * Figures may now be easily converted to and from JSON using the new
      to_json`, `from_json`, `read_json`, and `write_json` functions in the
      plotly.io` package
      [#1188](https://github.com/plotly/plotly.py/pull/1188))
    * Figures and graph objects now support `deepcopy` and `pickle` operations
      [#1191](https://github.com/plotly/plotly.py/pull/1191))
    * The location of the `"~/.plotly"` settings directory may now be customized
      sing the `PLOTLY_DIR` environment variable
      [#1195](https://github.com/plotly/plotly.py/pull/1195))
    * Added optional `scaleratio` argument to the `create_quiver` figure factory.
      hen specified, the axes are restricted to this ratio and the quiver arrows
      re computed to have consistent lengths across angles.
      [#1197](https://github.com/plotly/plotly.py/pull/1197))
  + Fixed
    * Replace use of `pkg_resources.resource_string` with `pkgutil.get_data` to
      mprove compatibility with `cx_Freeze`
      [#1201](https://github.com/plotly/plotly.py/pull/1201))
    * An exception is no longer raised when an optional dependency raises an
      xception on import.  The exception is logged and plotly.py continues as if
      he dependency were not installed
      [#1192](https://github.com/plotly/plotly.py/pull/1192))
    * Fixed invalid dendrogram axis labels when the points being clustered contain
      uplicate values
      [#1186](https://github.com/plotly/plotly.py/pull/1186))
    * Added missing LICENSE.txt file to PyPI source distribution
      [#765](https://github.com/plotly/plotly.py/issues/765))
  + JupyterLab Versions
    For use with JupyterLab, the following versions of the following packages
    must be installed:
    * Python Packages
      > plotly==3.3.0
      > ipywidgets>=7.2
      > notebook>=5.3
      > jupyterlab==0.34
    * JupyterLab Extensions
      > plotlywidget@0.4.0
      > @jupyter-widgets/jupyterlab-manager@0.37
      > @jupyterlab/plotly-extension@0.17
- Update to version 3.2.1
  This is a patch release that fixes a few bugs and reintroduces a few
  version 2 features that were not supported in version 3.
  The bundled version of plotly.js remains at 1.40.1
  + JupyterLab Versions
    For use with JupyterLab, the following versions of the following packages
    must be installed:
    * Python Packages
      > plotly==3.2.1
      > ipywidgets>=7.2
      > notebook>=5.3
      > jupyterlab==0.34
    * JupyterLab Extensions
      > plotlywidget@0.3.0
      > @jupyter-widgets/jupyterlab-manager@0.37
      > @jupyterlab/plotly-extension@0.17
  + Added
    * An optional `skip_invalid` argument has been added to the `Figure` and
      FigureWidget` constructors. By default, `skip_invalid` is `False` and invalid
      igure properties will result in an exception (this is identical to the
      revious behavior).  When `skip_invalid` is set to `True`, invalid properties
      ill instead be silently ignored. This argument replaces the `_raise`
      rgument that was available in version 2, and makes it possible to import
      igure definitions from different plotly versions, where incompatible
      roperties are ignored rather than causing an exception.
    * A `to_ordered_dict` method has been added to the `Figure` and `FigureWidget`
      lasses. This method returns a representation of the figure as a nested
      tructure of `OrdererdDict` and `list` instances where the keys in each
      OrderedDict` are sorted alphabetically.  This method replaces the
      get_ordered` method that was available in version 2, and makes it possible
      o traverse the nested structure of a figure in a deterministic order.
  + Fixed
    * Pandas `Series` and `Index` objects storing `datetime` values were
      incorrectly cast to numeric arrays
      ([plotly/plotly.py#1160](https://github.com/plotly/plotly.py/issues/1160),
      [plotly/plotly.py#1163](https://github.com/plotly/plotly.py/pull/1163))
    * Numpy arrays with `uint64` datatype caused a `FigureWidget` error,
      and no figure was displayed
      ([plotly/plotly.py#1155](https://github.com/plotly/plotly.py/issues/1155),
      [plotly/plotly.py#1163](https://github.com/plotly/plotly.py/pull/1163))
- Update to version 3.2.0
  This release introduces the long-anticipated ability to programmatically
  export figures as high quality static images in both raster and vector
  formats.
  + JupyterLab Versions (Python 3.5+)
    For use with JupyterLab, the following versions of the following packages
    must be installed:
    * Python Packages
      > plotly==3.2.0
      > ipywidgets>=7.2
      > notebook>=5.3
      > jupyterlab==0.34
    * JupyterLab Extensions
      > plotlywidget@0.3.0
      > @jupyter-widgets/jupyterlab-manager@0.37
      > @jupyterlab/plotly-extension@0.17
  + Added
    * plotly.js version 1.40.1, which introduces the following features:
      > Allow `contour`, `contourcarpet` and `histogram2dcontour` to have corresponding legend items using `showlegend`
         ([plotly/plotly.js#2891](https://github.com/plotly/plotly.js/pull/2891),
         [plotly/plotly.js#2914](https://github.com/plotly/plotly.js/pull/2914))
      > Add scatterpolar and scatterpolargl attributes `r0`, `dr`, `theta0` and `dtheta`
         ([plotly/plotly.js#2895](https://github.com/plotly/plotly.js/pull/2895))
      > Add layout attributes `piecolorway` and `extendpiecolors` for more control over pie colors
         ([plotly/plotly.js#2870](https://github.com/plotly/plotly.js/pull/2870))
      > Add `splom` attribute `dimensions[i].axis.type` to easily override axis type in splom-generated axes
         ([plotly/plotly.js#2899](https://github.com/plotly/plotly.js/pull/2870))
      > Add support for on-graph text in `scatterpolargl` traces
         ([plotly/plotly.js#2895](https://github.com/plotly/plotly.js/pull/2895))
      > See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1400----2018-08-16)
         for bug fixes and more information.
    * Support for offline static image export with the `to_image` and `write_image`
      functions in the new `plotly.io` package ([#1120](https://github.com/plotly/plotly.py/pull/1120)).
      > Note: Image export requires the plotly [orca](https://github.com/plotly/orca)
         command line utility and the [`psutil`](https://github.com/giampaolo/psutil) Python package.
    * New documentation sections covering [Static Image Export](https://plot.ly/python/static-image-export/)
      and [Orca Management](https://plot.ly/python/orca-management/) 
    * Support for displaying `FigureWidget` instances in static contexts
      (e.g. [nbviewer](http://nbviewer.jupyter.org/)) just like the built-in ipywidgets
      [#1117](https://github.com/plotly/plotly.py/pull/1117))
    * Full integration of the Cividis colorscale ([#883](https://github.com/plotly/plotly.py/pull/883))
    * conda packaging
      > From here forward, new versions of plotly.py will be published to the [plotly anaconda channel](https://anaconda.org/plotly/)
        on the same day they are published to PyPI.
        ([72ad0e4](https://github.com/plotly/plotly.py/commit/72ad0e4bf54bb8a06445d2ca55488ffc11c836a7))
      > The [`README`](README.md) now includes conda installation instructions alongside the pip instructions. 
      > In addition to the existing installation approaches, orca is now also available as a
        [conda package](https://anaconda.org/plotly/plotly-orca) from the plotly anaconda channel.
  + Updated
    * Show traces at the top of the Gantt chart's colorbar ([#1110](https://github.com/plotly/plotly.py/pull/1110))
    * Significantly improved validation performance for numeric pandas `Series` objects ([#1149](https://github.com/plotly/plotly.py/pull/1149))
    * Specialize auto-generated docstrings for Python syntax
    * More robust and specific logic for retrying requests to the plot.ly cloud service ([#1146](https://github.com/plotly/plotly.py/pull/1146))
    * Support basic authentication when using the streaming API behind a proxy server ([#1133](https://github.com/plotly/plotly.py/pull/1133))
  + Fixed
    * Validators for `dash` properties (e.g. `scatter.line.dash`) incorrectly rejected dash length lists ([#1136](https://github.com/plotly/plotly.py/pull/1136))
    * Annotated heatmap error when custom colorscale was specified ([#1151](https://github.com/plotly/plotly.py/pull/1151))
    * Incorrect deprecation warning for deprecated `plotly.graph_objs.Annotations` class ([#1138](https://github.com/plotly/plotly.py/pull/1138))
    * Harmless JavaScript console error when opening an html file produced by `plotly.offline.plot` ([#1152](https://github.com/plotly/plotly.py/pull/1152))
    * Incorrect validation errors when writing data to the streaming API ([#1145](https://github.com/plotly/plotly.py/pull/1145))
- Update to version 3.1.1
  This release is a minor bug-fix update to version 3.1.0
  + JupyterLab Versions
    For use with JupyterLab, the following versions of the following packages
    must be installed:
    * Python Packages
      > plotly==3.1.1
      > ipywidgets>=7.2
      > notebook>=5.3
      > jupyterlab==0.33
    * JupyterLab Extensions
      > plotlywidget@0.2.1
      > @jupyter-widgets/jupyterlab-manager@0.36
      > @jupyterlab/plotly-extension@0.16
  + Updated
    * Updated plotly.js to version 1.39.4.
      This is a bug-fix release of plotly.js
  + Fixed
    * Fixed error in validation of configkeys
      [plotly/plotly.js#1065](https://github.com/plotly/plotly.py/pull/1065)
    * Fixed error in presentation of named colorscales
      [plotly/plotly.js#1089](https://github.com/plotly/plotly.py/pull/1089)
    * Fixed numerical precision error when using `plotly.tools.make_subplots`
      to create figures with a large number of subplots
      [plotly/plotly.js#1091](https://github.com/plotly/plotly.py/pull/1091)
    * Fixed problem that prevented the use of the `.update` method to initialize
      an array property (e.g. `layout.shapes`)
      [plotly/plotly.js#1091](https://github.com/plotly/plotly.py/pull/1092)
    * Fixed `FigureWidget` problem causing scroll zoom on 3D plots to stutter
      [plotly/plotly.js#1094](https://github.com/plotly/plotly.py/pull/1094) 
    * Fixed invalid `tickmode` property in `matplotlylib`
      [plotly/plotly.js#1101](https://github.com/plotly/plotly.py/pull/1101)
- Update to version 3.1.0
  + JupyterLab Versions
    For use with JupyterLab, the following versions of the following packages
    must be installed. See [README.md](README.md) for instructions.
    * Python Packages
      > plotly==3.1.0
      > ipywidgets>=7.2
      > notebook>=5.3
      > jupyterlab==0.32.1
    * JupyterLab Extensions
      > plotlywidget@0.2.0
      > @jupyter-widgets/jupyterlab-manager@0.35
      > @jupyterlab/plotly-extension@0.16
  + Updated
    * Updated Plotly.js to version 1.39.2
    * See highlights below
    * See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1392----2018-07-16) for more information.
  + Added
    * Added 3D streamtube traces
      [plotly/plotly.js#2658](https://github.com/plotly/plotly.js/pull/2658)
    * Added support for on-graph text in scattergl traces
    * Added gridshape attribute to polar subplots with values 'circular' (the default) and 'linear' (to draw polygon grids)
      [plotly/plotly.js#2739](https://github.com/plotly/plotly.js/pull/2739)
- Update to version 3.0.2
  This is a minor bug-fix release to 3.0.0
  + JupyterLab plotlywidget version: 0.1.1
  + Plotly.js version: 1.38.3
  + Fixed
    * Several errors related to numbered subplot labels (e.g. xaxis2, polar3, etc.)
      [GH1057](https://github.com/plotly/plotly.py/pull/1057)
    * Error where the `v` property was ignored in `cone` traces
      [GH1060](https://github.com/plotly/plotly.py/pull/1060)
    * Assorted performance improvements when constructing graph objects
      [GH1061](https://github.com/plotly/plotly.py/pull/1061)
- Update to version 3.0.1 [YANKED]
  Note: This release's installation was broken. It has been removed from PyPI
- Update to version 3.0.0
  This is a major version with many exciting updates.
  + JupyterLab plotlywidget version: 0.1.1
  + Plotly.js version: 1.38.3
  + Added
    * Full Jupyter ipywidgets integration with the new `graph_objs.FigureWidget` class
    * `FigureWidget` figures can be updated interactively using property assignment syntax
    * The full trace and layout API is generated from the plotly schema to provide a great experience for interactive use in the notebook
    * Support for setting array properties as numpy arrays. When numpy arrays are used, ipywidgets binary serialization protocol is used to avoid converting these to JSON strings.
    * Context manager API for animation. Run `help(go.Figure().batch_animate)` for the full doc string.
    * Perform automatic retries when communicating with plot.ly services. This introduces a new required dependency on the [retrying](https://pypi.org/project/retrying/) library.
    * Improved data validation covering the full API with clear, informative error messages. This means that incorrect properties and/or values now always raise a `ValueError` with a description of the error, the invalid property, and the available properties on the level that it was placed in the graph object. Eg. `go.Scatter(foo=123)` raises a validation error. See https://plot.ly/python/reference/ for a reference to all valid properties and values in the Python API.
    * Error message for `plotly.figure_factory.create_choropleth` is now helpful to Anaconda users who do not have the correct modules installed for the County Choropleth figure factory.
  + Changed / Deprecated
Please see the [migration guid](migration-guide.md) for a full list of the changes and deprecations in version 3.0.0
- Update to version 2.7.0
  + Updated
    * Updated `plotly.min.js` to version 1.38.0.
      New features include a `3D cone` trace to visualize vector fields.
- Update to version 2.6.0
  + Updated
    * Updated `plotly.min.js` to version 1.37.1.
      New features include a `splom` (scatter plot matrix) trace type.
    * Error message for `plotly.figure_factory.create_choropleth` is more helpful for Windows users on installing `geopandas` and dependencies including `shapely`.

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