Merge branch 'master' into wide_form2

Author: nicolaskruchten

CHANGELOG.md

@@ -2,22 +2,39 @@
 All notable changes to this project will be documented in this file.
 This project adheres to [Semantic Versioning](http://semver.org/).
 
-## Dev version
+## [4.7.1] - 2020-05-08
+
+### Fixed
+
+ - Fix `AttributeError: module 'plotly.graph_objs' has no attribute 'FigureWidget'` exception on `from plotly.graph_objs import *` when `ipywidgets` is not installed. Error also occurred when importing `plotly.figure_factor`. It is now possible to import `plotly.graph_objs.FigureWidget` when `ipywidgets` is not installed, and an informative `ImportError` exception will be raised in the `FigureWidget` constructor ([#2443](https://github.com/plotly/plotly.py/issues/2443), [#1111](https://github.com/plotly/plotly.py/issues/1111)).
+ - Fix `TypeError: unhashable type: 'Template'` during `Figure` construction when `plotly.io.templates.default` is set to a `Template` object rather than a string.
+
+
+## [4.7.0] - 2020-05-06
+
+### Updated
+
+- Updated Plotly.js to version 1.54.1. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/v1.54.1/CHANGELOG.md) for more information. The main new feature of this version of Plotly.js is the possibility to draw layout shapes, using custom dragmodes and corresponding modebar buttons.
+- The sphinx-gallery scraper has been updated to work with different structures of galleries [#2149](https://github.com/plotly/plotly.py/pull/2419)
 
 ### 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 informatiom [#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
+
+- Plotly Express trendlines now handle missing data correctly [#2357](https://github.com/plotly/plotly.py/pull/2357)
 
 ### Performance
+
 This version includes several performance improvements ([#2368](https://github.com/plotly/plotly.py/pull/2368), [#2403](https://github.com/plotly/plotly.py/pull/2403)).
- 
+
  - 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.
 
-## [4.6] - 2020-03-31
+## [4.6.0] - 2020-03-31
 
 ### Updated
 

README.md

@@ -33,7 +33,7 @@
 
 ## Quickstart
 
-`pip install plotly==4.6.0`
+`pip install plotly==4.7.1`
 
 Inside [Jupyter notebook](https://jupyter.org/install) (installable with `pip install "notebook>=5.3" "ipywidgets>=7.2"`):
 
@@ -82,13 +82,13 @@ Built on top of [plotly.js](https://github.com/plotly/plotly.js), `plotly.py` is
 plotly.py may be installed using pip...
 
 ```
-pip install plotly==4.6.0
+pip install plotly==4.7.1
 ```
 
 or conda.
 
 ```
-conda install -c plotly plotly=4.6.0
+conda install -c plotly plotly=4.7.1
 ```
 
 ### Jupyter Notebook Support
@@ -112,44 +112,27 @@ For use in JupyterLab, install the `jupyterlab` and `ipywidgets`
 packages using pip...
 
 ```
-pip install jupyterlab==1.2 "ipywidgets==7.5"
+pip install jupyterlab "ipywidgets=7.5"
 ```
 
 or conda.
 
 ```
-conda install jupyterlab=1.2
-conda install "ipywidgets=7.5"
+conda install jupyterlab "ipywidgets=7.5"
 ```
 
 Then run the following commands to install the required JupyterLab extensions (note that this will require [`node`](https://nodejs.org/) to be installed):
 
 ```
-# Avoid "JavaScript heap out of memory" errors during extension installation
-# (OS X/Linux)
-export NODE_OPTIONS=--max-old-space-size=4096
-# (Windows)
-set NODE_OPTIONS=--max-old-space-size=4096
+# Basic JupyterLab renderer support
+jupyter labextension install [email protected]
 
-# Jupyter widgets extension
-jupyter labextension install @jupyter-widgets/[email protected] --no-build
-
-# FigureWidget support
-jupyter labextension install [email protected] --no-build
-
-# and jupyterlab renderer support
-jupyter labextension install [email protected] --no-build
-
-# Build extensions (must be done to activate extensions since --no-build is used above)
-jupyter lab build
-
-# Unset NODE_OPTIONS environment variable
-# (OS X/Linux)
-unset NODE_OPTIONS
-# (Windows)
-set NODE_OPTIONS=
+# OPTIONAL: Jupyter widgets extension for FigureWidget support
+jupyter labextension install @jupyter-widgets/jupyterlab-manager [email protected]
 ```
 
+Please check out our [Troubleshooting guide](https://plotly.com/python/troubleshooting/) if you run into any problems with JupyterLab.
+
 ### Static Image Export
 
 plotly.py supports static image export using the `to_image` and `write_image`

binder/requirements.txt

@@ -1,5 +1,5 @@
 jupytext
-plotly==4.6.0
+plotly==4.7.0
 jupyter
 notebook
 pandas

doc/apidoc/Makefile

@@ -18,9 +18,15 @@ help:
 # For sphinx-apidoc the first positional path is the module to document
 # then all the other ones are paths to exclude for the doc generation
 %: Makefile
+	sed -i 's/:class:`plotly.graph_objects/:class:`plotly.graph_objs/g' ../../packages/python/plotly/plotly/graph_objs/*.py
+	sed -i 's/:class:`plotly.graph_objects/:class:`plotly.graph_objs/g' ../../packages/python/plotly/plotly/graph_objs/*/*.py
+	sed -i 's/:class:`plotly.graph_objects/:class:`plotly.graph_objs/g' ../../packages/python/plotly/plotly/graph_objs/*/*/*.py
+	sed -i 's/:class:`plotly.graph_objects/:class:`plotly.graph_objs/g' ../../packages/python/plotly/plotly/graph_objs/*/*/*/*.py
 	sphinx-apidoc -o generated ../../packages/python/plotly/plotly ../../packages/python/plotly/plotly/validators ../../packages/python/plotly/plotly/tests ../../packages/python/plotly/plotly/matplotlylib/ ../../packages/python/plotly/plotly/offline ../../packages/python/plotly/plotly/api
 	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
+	git checkout -- ../../packages/python/plotly/plotly/graph_objs
 	rename 's/graph_objs/graph_objects/' _build/html/*.html _build/html/generated/*.html
+	mv _build/html/generated/plotly.graph_objs.html _build/html/generated/plotly.graph_objects.html
 	sed -i 's/graph_objs/graph_objects/g' _build/html/*.html 
 	sed -i 's/graph_objs/graph_objects/g' _build/html/*.inv 
 	sed -i 's/graph_objs/graph_objects/g' _build/html/*.js 

doc/apidoc/_templates/trace.rst

@@ -15,9 +15,9 @@
 
 .. autosummary::
 
-   plotly.graph_objects.{{ objname.lower() }}
+   plotly.graph_objs.{{ objname.lower() }}
 
-.. automodule:: plotly.graph_objects.{{ objname.lower() }}
+.. automodule:: plotly.graph_objs.{{ objname.lower() }}
    :members:
    :undoc-members:
 

doc/apidoc/conf.py

@@ -28,7 +28,7 @@
 # The short X.Y version
 version = ""
 # The full version, including alpha/beta/rc tags
-release = "4.6.0"
+release = "4.7.0"
 
 
 # -- General configuration ---------------------------------------------------

doc/python/animations.md

@@ -261,18 +261,6 @@ fig_dict = {
 fig_dict["layout"]["xaxis"] = {"range": [30, 85], "title": "Life Expectancy"}
 fig_dict["layout"]["yaxis"] = {"title": "GDP per Capita", "type": "log"}
 fig_dict["layout"]["hovermode"] = "closest"
-fig_dict["layout"]["sliders"] = {
-    "args": [
-        "transition", {
-            "duration": 400,
-            "easing": "cubic-in-out"
-        }
-    ],
-    "initialValue": "1952",
-    "plotlycommand": "animate",
-    "values": years,
-    "visible": True
-}
 fig_dict["layout"]["updatemenus"] = [
     {
         "buttons": [

doc/python/configuration-options.md

@@ -5,8 +5,8 @@ jupyter:
     text_representation:
       extension: .md
       format_name: markdown
-      format_version: '1.1'
-      jupytext_version: 1.1.1
+      format_version: '1.2'
+      jupytext_version: 1.3.0
   kernelspec:
     display_name: Python 3
     language: python
@@ -20,7 +20,7 @@ jupyter:
     name: python
     nbconvert_exporter: python
     pygments_lexer: ipython3
-    version: 3.7.0
+    version: 3.7.3
   plotly:
     description: How to set the configuration options of figures using the Plotly
       Python graphing library.
@@ -236,6 +236,29 @@ fig.show(config={
 })
 ```
 
+### Add optional shape-drawing buttons to modebar
+
+Some modebar buttons of Cartesian plots are optional and have to be added explictly, using the `modeBarButtonsToAdd` config attribute. These buttons are used for drawing or erasing shapes. See [the tutorial on shapes and shape drawing](python/shapes#drawing-shapes-on-cartesian-plots) for more details.
+
+```python
+import plotly.graph_objects as go
+import plotly.express as px
+df = px.data.iris()
+fig = px.scatter(df, x='petal_width', y='sepal_length', color='species')
+fig.update_layout(
+    dragmode='drawopenpath',
+    newshape_line_color='cyan',
+    title_text='Draw a path to separate versicolor and virginica'
+)
+fig.show(config={'modeBarButtonsToAdd':['drawline',
+                                        'drawopenpath',
+                                        'drawclosedpath',
+                                        'drawcircle',
+                                        'drawrect',
+                                        'eraseshape'
+                                       ]})
+```
+
 ### Double-Click Delay
 Sets the maximum delay between two consecutive clicks to be interpreted as a double-click in milliseconds. This is the time interval between first mousedown and second mouseup. The default timing is 300 ms (less than half a second).
 This setting propagates to all on-subplot double clicks (except for `geo` and `mapbox`).

doc/python/datashader.md

@@ -36,7 +36,7 @@ jupyter:
 
 [datashader](https://datashader.org/) creates rasterized representations of large datasets for easier visualization, with a pipeline approach consisting of several steps: projecting the data on a regular grid, creating a color representation of the grid, etc.
 
-### Passing datashader rasters as a mabox image layer
+### Passing datashader rasters as a mapbox image layer
 
 We visualize here the spatial distribution of taxi rides in New York City. A higher density
 is observed on major avenues. For more details about mapbox charts, see [the mapbox layers tutorial](/python/mapbox-layers). No mapbox token is needed here.

doc/python/getting-started.md

@@ -49,13 +49,13 @@ Thanks to deep integration with the [orca](https://github.com/plotly/orca) image
 plotly.py may be installed using pip...
 
 ```
-$ pip install plotly==4.6.0
+$ pip install plotly==4.7.1
 ```
 
 or conda.
 
 ```
-$ conda install -c plotly plotly=4.6.0
+$ conda install -c plotly plotly=4.7.1
 ```
 
 This package contains everything you need to write figures to standalone HTML files.
@@ -134,29 +134,11 @@ $ conda install "ipywidgets=7.5"
 Then run the following commands to install the required JupyterLab extensions (note that this will require [`node`](https://nodejs.org/) to be installed):
 
 ```
-# Avoid "JavaScript heap out of memory" errors during extension installation
-# (OS X/Linux)
-export NODE_OPTIONS=--max-old-space-size=4096
-# (Windows)
-set NODE_OPTIONS=--max-old-space-size=4096
+# JupyterLab renderer support
+jupyter labextension install [email protected]
 
-# Jupyter widgets extension
-jupyter labextension install @jupyter-widgets/[email protected] --no-build
-
-# jupyterlab renderer support
-jupyter labextension install [email protected] --no-build
-
-# FigureWidget support
-jupyter labextension install [email protected] --no-build
-
-# Build extensions (must be done to activate extensions since --no-build is used above)
-jupyter lab build
-
-# Unset NODE_OPTIONS environment variable
-# (OS X/Linux)
-unset NODE_OPTIONS
-# (Windows)
-set NODE_OPTIONS=
+# OPTIONAL: Jupyter widgets extension
+jupyter labextension install @jupyter-widgets/jupyterlab-manager [email protected]
 ```
 
 These packages contain everything you need to run JupyterLab...
@@ -175,14 +157,16 @@ fig = go.Figure(data=go.Bar(y=[2, 3, 1]))
 fig.show()
 ```
 
-or using `FigureWidget` objects.
+or using `FigureWidget` objects (if the "OPTIONAL" step above was executed).
 
 ```python
 import plotly.graph_objects as go
 fig = go.FigureWidget(data=go.Bar(y=[2, 3, 1]))
 fig
 ```
 
+Please check out our [Troubleshooting guide](https://plotly.com/python/troubleshooting/) if you run into any problems with JupyterLab.
+
 <!-- #region -->
 
 See [_Displaying Figures in Python_](/python/renderers/) for more information on the renderers framework, and see [_Plotly FigureWidget Overview_](/python/figurewidget/) for more information on using `FigureWidget`.