plotly · nicolaskruchten · Jun 4, 2021 · Sep 11, 2020 · Dec 5, 2020 · Dec 5, 2020
diff --git a/.circleci/config.yml b/.circleci/config.yml
diff --git a/.circleci/create_conda_optional_env.sh b/.circleci/create_conda_optional_env.sh
diff --git a/.circleci/install_miniconda_and_build_.sh b/.circleci/install_miniconda_and_build_.sh
diff --git a/.gitignore b/.gitignore
@@ -48,3 +48,7 @@ doc/python/.mapbox_token
 doc/.ipynb_checkpoints
 tags
 doc/check-or-enforce-order.py
+
+packages/javascript/jupyterlab-plotly/lib/
+packages/python/plotly/jupyterlab_plotly/labextension/
+packages/python/plotly/jupyterlab_plotly/nbextension/index.js*
diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -3,10 +3,34 @@ All notable changes to this project will be documented in this file.
 This project adheres to [Semantic Versioning](http://semver.org/).
 
 
-## [4.14.3] - 2021-01-12
+## UNRELEASED
+
+### Updated
+
+- Updated Plotly.js to version 2.0.0-rc.2. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/CHANGELOG.md) for more information. These changes are reflected in the auto-generated `plotly.graph_objects` module. Notable changes include:
+  - new `marker.pattern` options for `bar`-like trace types
+  - dropped support for IE9 and IE10
+  - dropped support for long-deprecated `graph_objects` like `area` traces and `scatter.(t|r)` and `layout.(radial|angular)axis` attributes
+  - deprecated `heatmapgl`, `pointcloud` traces as well as all `transform` attributes
+- Combined `plotlywidget` into `jupyterlab-plotly` and packaged them as a federated extension [#3142](https://github.com/plotly/plotly.py/pull/3142) with massive thanks to [@fcollonval](https://github.com/fcollonval) for the contribution
+- Plotly.js CDN url will now be versioned by default for HTML exports using `include_plotlyjs='cdn'` and for "connected" renderers. [#2961](https://github.com/plotly/plotly.py/pull/2961) with thanks to [@adehad](https://github.com/adehad) for the contribution
+- Dropped support for Python older than 3.6 [#3160](https://github.com/plotly/plotly.py/pull/3160)
+- Recommending Kaleido by default over Orca [#3094](https://github.com/plotly/plotly.py/pull/3094)
+- Replaced `retrying` dependency with `tenacity` [#2911](https://github.com/plotly/plotly.py/pull/2911) with thanks to [@jmsmdy](https://github.com/jmsmdy) for the contribution
+
+### Added
+
+- New functions in `plotly.colors`: `get_colorscale()` and `sample_colorscale()` [#3136](https://github.com/plotly/plotly.py/pull/3136) and [#3186](https://github.com/plotly/plotly.py/pull/3186) with thanks to [@CarlAndersson](https://github.com/CarlAndersson) for the contributions
+- Faster JSON encoding when `orjson` is present [#2955](https://github.com/plotly/plotly.py/pull/2955)
 
 ### Fixed
 
+- Pandas and Numpy datetime serialization fixes [#3022](https://github.com/plotly/plotly.py/pull/3022)
+- Fixed selected points of histograms in FigureWidget [#2771](https://github.com/plotly/plotly.py/pull/2771) with thanks to [@meffmadd](https://github.com/meffmadd) for the contribution
+
+
+## [4.14.3] - 2021-01-12
+
 - `px.timeline()` now allows `hover_data` formatting of start and end times [3018](https://github.com/plotly/plotly.py/pull/3018)
 - Small change to packaging of `plotlywidget` extension for JupyterLab 3 [3021](https://github.com/plotly/plotly.py/pull/3021)
 
@@ -135,7 +159,7 @@ This project adheres to [Semantic Versioning](http://semver.org/).
   faster image rendering and smaller figure size. Additional optional arguments
   `binary_backend`, `binary_format` and `binary_compression_level` control
   how to generate the b64 string ([#2691](https://github.com/plotly/plotly.py/pull/2691)
-- `px.imshow` has a new `constrast_rescaling` argument in order to choose how
+- `px.imshow` has a new `contrast_rescaling` argument in order to choose how
   to set data values corresponding to the bounds of the color range
   ([#2691](https://github.com/plotly/plotly.py/pull/2691)
 
@@ -239,7 +263,7 @@ This project adheres to [Semantic Versioning](http://semver.org/).
 
 ### Added
 
-- The `hover_data` parameter of `px` functions can now be a dictionary. This makes it possible to skip hover information for some arguments or to change the formatting of hover informatiom [#2377](https://github.com/plotly/plotly.py/pull/2377).
+- The `hover_data` parameter of `px` functions can now be a dictionary. This makes it possible to skip hover information for some arguments or to change the formatting of hover information [#2377](https://github.com/plotly/plotly.py/pull/2377).
 - It's now possible to build a development version of Plotly.py against the build artifacts from a non-`master` branch of Plotly.js, which makes for faster QA and development cycles [#2349](https://github.com/plotly/plotly.py/pull/2349). Thanks [@zouhairm](https://github.com/zouhairm) for this Pull Request!
 
 ### Fixed
@@ -252,7 +276,7 @@ This version includes several performance improvements ([#2368](https://github.c
 
  - Child graph objects (e.g. `figure.layout.xaxis`) are no longer created eagerly during graph object construction. Instead, they are created lazily the first time the property is accessed.
  - Property validation is now disabled for select internal operations.
- - When used with Python 3.7 and above, ploty.py now takes advantage of [PEP-562](https://www.python.org/dev/peps/pep-0562/) to perform submodule imports lazily.  This dramatically improves import times.
+ - When used with Python 3.7 and above, plotly.py now takes advantage of [PEP-562](https://www.python.org/dev/peps/pep-0562/) to perform submodule imports lazily.  This dramatically improves import times.
 
 ## [4.6.0] - 2020-03-31
 
@@ -290,7 +314,7 @@ This version includes several performance improvements ([#2368](https://github.c
 
 - Jupyterlab extension now compatible with both Jupyterlab 1.2 and 2.0 [#2261](https://github.com/plotly/plotly.py/pull/2261) with thanks to [@consideRatio](https://github.com/consideRatio) for the contribution!
 - Fixed a bug when using boolean values for the color argument of px functions [#2127](https://github.com/plotly/plotly.py/pull/2127)
-- Corrected import bug which was occuring with old versions of ipywidgets [#2265](https://github.com/plotly/plotly.py/pull/2265)
+- Corrected import bug which was occurring with old versions of ipywidgets [#2265](https://github.com/plotly/plotly.py/pull/2265)
 - Fixed python 3.8 syntax warning [#2262](https://github.com/plotly/plotly.py/pull/2262), with thanks to [@sgn](https://github.com/sgn) for the contribution!
 
 ## [4.5.3] - 2020-03-05
@@ -365,7 +389,7 @@ This version includes several performance improvements ([#2368](https://github.c
  for more information
  - The tutorials of the [plotly.py documentation](https://plot.ly/python/) are
    now in the main [plotly.py Github repository](https://github.com/plotly/plotly.py). Contributions in order to improve or extend the documentation are very welcome!
- - `plotly.express` generated plots no longer have a default height of 600 pixels, instead they inherit the default height of regular figures [#1990](https://github.com/plotly/plotly.py/pull/1990). To restore the old behavior, set `px.defaults.height=600` once per session, or set the `height` keyword arguement to any `px.function()` to 600.
+ - `plotly.express` generated plots no longer have a default height of 600 pixels, instead they inherit the default height of regular figures [#1990](https://github.com/plotly/plotly.py/pull/1990). To restore the old behavior, set `px.defaults.height=600` once per session, or set the `height` keyword argument to any `px.function()` to 600.
 
 ### Fixed
 
@@ -439,7 +463,7 @@ section [#1969](https://github.com/plotly/plotly.py/pull/1969).
  - The width of a figure produced by the `create_gantt` figure factory now resizes responsively ([#1724](https://github.com/plotly/plotly.py/pull/1724))
 
 ### Fixed
- - The name of the steps property of `graph_objects.indicator.Guage` has been renamed from `stepss` to `steps`
+ - The name of the steps property of `graph_objects.indicator.Gauge` has been renamed from `stepss` to `steps`
  - Avoid crash in iframe renderers when running outside iPython ([#1723](https://github.com/plotly/plotly.py/pull/1723))
 
 ## [4.1.0] - 2019-08-06
@@ -491,7 +515,7 @@ This is a major release that includes many new features, and a few breaking chan
  - Added support for all trace types in `make_subplots` ([#1528](https://github.com/plotly/plotly.py/pull/1528))
  - Added support for secondary y-axes in `make_subplots` ([#1564](https://github.com/plotly/plotly.py/pull/1564))
  - Support passing a scalar trace object (rather than a list or tuple of trace objects) as the `data` property to the `Figure` constructor ([#1614](https://github.com/plotly/plotly.py/pull/1614))
- - Added dictionary-stule `.pop` method to graph object classes ([#1614](https://github.com/plotly/plotly.py/pull/1614))
+ - Added dictionary-style `.pop` method to graph object classes ([#1614](https://github.com/plotly/plotly.py/pull/1614))
  - New `jupyterlab-plotly` JupyterLab extension for rendering figures in JupyterLab. Replaces the `@jupyterlab/plotly-extension` extension, and includes JupyterLab 1.0 support.
  - Added new suite of built-in colorscales to the `plotly.colors` module, and support for specifying this wide range of colorscales by name. Also added support for specifying colorscales as a list of colors, in which case the color spacing is assumed to be uniform ([#1647](https://github.com/plotly/plotly.py/pull/1647)).
  - Added `sphinx-gallery` renderer for embedding plotly figures in [Sphinx-Gallery](https://sphinx-gallery.github.io/) ([#1577](https://github.com/plotly/plotly.py/pull/1577), [plotly/plotly-sphinx-gallery](https://github.com/plotly/plotly-sphinx-gallery)).
@@ -1096,7 +1120,7 @@ must be installed:
   properties are ignored rather than causing an exception.
  - A `to_ordered_dict` method has been added to the `Figure` and `FigureWidget`
   classes. This method returns a representation of the figure as a nested
-  structure of `OrdererdDict` and `list` instances where the keys in each
+  structure of `OrderedDict` 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
   to traverse the nested structure of a figure in a deterministic order.
@@ -1517,7 +1541,7 @@ gone.
 ## [1.12.10] - 2016-11-28
 ### Updated
 - `FF.create_violin` and `FF.create_scatterplotmatrix` now by default do not print subplot grid information in output
-- Removed alert that occured when downloading plot images offline. Please note: for higher resolution images and more export options, consider making requests to our image servers. See: `help(py.image)` for more details.
+- Removed alert that occurred when downloading plot images offline. Please note: for higher resolution images and more export options, consider making requests to our image servers. See: `help(py.image)` for more details.
 
 ### Added
 - Plot configuration options for offline plots. See the list of [configuration options](https://github.com/Rikorose/plotly.py/blob/master/plotly/offline/offline.py#L189) and [examples](https://plot.ly/javascript/configuration-options/) for more information.

diff --git a/README.md b/README.md
@@ -39,7 +39,7 @@ Our recommended IDE for Plotly’s Python graphing library is Dash Enterprise’
 
 `pip install plotly==4.14.3`
 
-Inside [Jupyter notebook](https://jupyter.org/install) (installable with `pip install "notebook>=5.3" "ipywidgets>=7.5"`):
+Inside [Jupyter](https://jupyter.org/install) (installable with `pip install "jupyterlab>=3" "ipywidgets>=7.6"`):
 
 ```python
 import plotly.graph_objects as go
@@ -95,37 +95,22 @@ or conda.
 conda install -c plotly plotly=4.14.3
 ```
 
-### Jupyter Notebook Support
-
-For use in the Jupyter Notebook, install the `notebook` and `ipywidgets`
-packages using `pip`:
-
-```
-pip install "notebook>=5.3" "ipywidgets>=7.5"
-```
-
-or `conda`:
-
-```
-conda install "notebook>=5.3" "ipywidgets>=7.5"
-```
-
 ### JupyterLab Support
 
 For use in JupyterLab, install the `jupyterlab` and `ipywidgets`
 packages using `pip`:
 
 ```
-pip install jupyterlab "ipywidgets>=7.5"
+pip install jupyterlab>=3 "ipywidgets>=7.6"
 ```
 
 or `conda`:
 
 ```
-conda install jupyterlab "ipywidgets>=7.5"
+conda install jupyterlab>=3 "ipywidgets>=7.6"
 ```
 
-Then run the following commands to install the required JupyterLab extensions (note that this will require [`node`](https://nodejs.org/) to be installed):
+For JupyterLab 2 or earlier, run the following commands to install the required JupyterLab extensions (note that this will require [`node`](https://nodejs.org/) to be installed):
 
 ```
 # Basic JupyterLab renderer support
@@ -137,6 +122,21 @@ jupyter labextension install @jupyter-widgets/jupyterlab-manager plotlywidget@4.
 
 Please check out our [Troubleshooting guide](https://plotly.com/python/troubleshooting/) if you run into any problems with JupyterLab.
 
+### Jupyter Notebook Support
+
+For use in the Jupyter Notebook, install the `notebook` and `ipywidgets`
+packages using `pip`:
+
+```
+pip install "notebook>=5.3" "ipywidgets>=7.5"
+```
+
+or `conda`:
+
+```
+conda install "notebook>=5.3" "ipywidgets>=7.5"
+```
+
 ### Static Image Export
 
 plotly.py supports [static image export](https://plotly.com/python/static-image-export/),

diff --git a/bld.bat b/bld.bat
diff --git a/build.sh b/build.sh
diff --git a/build_for_conda.md b/build_for_conda.md
diff --git a/contributing.md b/contributing.md
@@ -166,19 +166,6 @@ and
 [`pip`](https://pip.pypa.io/en/stable/reference/pip_install/#install-editable)
 documentation on _development mode_.
 
-### ipywidgets development install
-
-Run the following commands in your virtual environment to use the
-development version of `FigureWidget`,
-```bash
-(plotly_dev) $ jupyter nbextension enable --py widgetsnbextension
-(plotly_dev) $ jupyter nbextension install --py --symlink --sys-prefix plotlywidget
-(plotly_dev) $ jupyter nbextension enable --py --sys-prefix plotlywidget
-```
-To make plotly plots show up in JupyterLab, you also need to [install the plotly jupyterlab extensions][plotly-jl].
-
-[plotly-jl]: https://plot.ly/python/getting-started/#jupyterlab-support-python-35
-
 ### Configure black code formatting
 
 This repo uses the [Black](https://black.readthedocs.io/en/stable/) code formatter,
@@ -224,7 +211,7 @@ make that pull request!
 
 
 ## Update to a new version of Plotly.js
-First update the version of the `plotly.js` dependency in `packages/javascript/plotlywidget/package.json`.
+First update the version of the `plotly.js` dependency in `packages/javascript/jupyterlab-plotly/package.json`.
 
 Then run the `updateplotlyjs` command with:
 
@@ -238,12 +225,7 @@ the `plotly/plotly.js` GitHub repository (and place them in
 `plotly/package_data`). It will then regenerate all of the `graph_objs`
 classes based on the new schema.
 
-For dev branches, it is also possible to use `updateplotlyjsdev --devrepo reponame --devbranch branchname` to update to development versions of `plotly.js`. This will fetch the `plotly.js` in the CircleCI artifact of the branch `branchname` of the repo `reponame`. If `--devrepo` or `--devbranch` are omitted, `updateplotlyjsdev` defaults using `plotly/plotly.js` and `master` respectively. For example, to update to a version from a pull request to the `plotly/plotly.js` repo that is numbered 555, run:
-
-```bash
-$ cd packages/python/plotly
-$ python setup.py updateplotlyjsdev --devbranch pull/555
-```
+For dev branches, it is also possible to use `updateplotlyjsdev --devrepo reponame --devbranch branchname` to update to development versions of `plotly.js`. This will fetch the `plotly.js` in the CircleCI artifact of the branch `branchname` of the repo `reponame`. If `--devrepo` or `--devbranch` are omitted, `updateplotlyjsdev` defaults using `plotly/plotly.js` and `master` respectively.
 
 ## Testing
 

diff --git a/doc/python/2D-Histogram.md b/doc/python/2D-Histogram.md
@@ -137,7 +137,7 @@ fig = go.Figure(go.Histogram2d(x=x, y=y, histnorm='probability',
 fig.show()
 ```
 ### Sharing bin settings between 2D Histograms
-This example shows how to use [bingroup](https://plotly.com/python/reference/histogram/#histogram-bingroup) attribute to have a compatible bin settings for both histograms. To define `start`, `end` and `size` value of x-axis and y-axis seperatly, set [ybins](https://plotly.com/python/reference/histogram2dcontour/#histogram2dcontour-ybins) and `xbins`.
+This example shows how to use [bingroup](https://plotly.com/python/reference/histogram/#histogram-bingroup) attribute to have a compatible bin settings for both histograms. To define `start`, `end` and `size` value of x-axis and y-axis separately, set [ybins](https://plotly.com/python/reference/histogram2dcontour/#histogram2dcontour-ybins) and `xbins`.
 
 ```python
 import plotly.graph_objects as go

diff --git a/doc/python/3d-isosurface-plots.md b/doc/python/3d-isosurface-plots.md
@@ -130,7 +130,7 @@ fig = go.Figure(data=go.Isosurface(
 fig.show()
 ```
 
-#### Isosurface with Addtional Slices
+#### Isosurface with Additional Slices
 
 Here we visualize slices parallel to the axes on top of isosurfaces. For a clearer visualization, the `fill` ratio of isosurfaces is decreased below 1 (completely filled).
 
@@ -235,4 +235,4 @@ fig.show()
 ```
 
 #### Reference
-See https://plotly.com/python/reference/isosurface/ for more information and chart attribute options!
+See https://plotly.com/python/reference/isosurface/ for more information and chart attribute options!
diff --git a/doc/python/3d-mesh.md b/doc/python/3d-mesh.md
@@ -83,7 +83,7 @@ IFrame(snippet_url + '3d-mesh', width='100%', height=630)
 
 ### Mesh Tetrahedron
 
-In this example we use the `ì`, `j` and `k` parameters to specify manually the geometry of the triangles of the mesh.
+In this example we use the `i`, `j` and `k` parameters to specify manually the geometry of the triangles of the mesh.
 
 ```python
 import plotly.graph_objects as go