Release 3.2.0 (#1157)

* Initial changelog work

* More progress on Changelog

* README installation updates to add conda and orca instructions

* Add notebook and ipywidgets to quickstart installation command

* Split quickstart code into two cells to show where figure is displayed

* Reorganize README

* Specialize schema descriptions for Python in docstrings

* bump versions to plotly.py 3.2.0rc1 and plotlywidget 0.3.0-rc.1

Also update README with release candidate installation instructions

* Conda needs single equals

* Fix conda orca install command
[skip ci]

* Fill in remaining TODOs and references in changelog and README
[skip ci]

* `np.ascontiguousarray` is preserving the `WRITEABLE` flag now.
Copy explicitly so we don't make input array read-only.

* Add instructions to unset NODE_OPTIONS environment variable

This causes an error when using orca from the commandline.

* Bump plotly.py to 3.2.0 and plotlywidget to 0.3.0

CHANGELOG.md

@@ -2,6 +2,74 @@
 All notable changes to this project will be documented in this file.
 This project adheres to [Semantic Versioning](http://semver.org/).
 
+## [3.2.0] - 2018-09-05
+This release introduces the long-anticipated ability to programmatically
+export figures as high quality static images in both raster and vector
+formats.
+
+### JupyterLab Versions
+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))
+
+
 ## [3.1.1] - 2018-08-10
 This release is a minor bug-fix update to version 3.1.0
 

README.md

@@ -2,15 +2,16 @@
 
 ## Quickstart
 
-`pip install plotly`
+`pip install plotly "notebook>=5.3" "ipywidgets>=7.2"`
 
 Inside [Jupyter notebook](https://jupyter.org/install):
 ```python
 import plotly.graph_objs as go
 fig = go.FigureWidget()
 # Display an empty figure
 fig
-
+```
+```python
 # Add a scatter chart
 fig.add_scatter(y=[2, 1, 4, 3])
 # Add a bar chart
@@ -49,44 +50,92 @@ Built on top of [plotly.js](https://github.com/plotly/plotly.js), `plotly.py` is
 
 ***
 
-## Installation of plotly.py Version 3
-To install plotly.py and enable Jupyter or Jupyter Lab support, run:
+## Installation
+
+plotly.py may be installed using pip...
+```
+pip install plotly==3.2.0
+```
+
+or conda.
+```
+conda install -c plotly plotly=3.2.0
+```
+
+### Jupyter Notebook Support
+For use in the Jupyter Notebook, install the `notebook` and `ipywidgets`
+packages using pip...
+
+```
+pip install "notebook>=5.3" "ipywidgets>=7.2"
+```
+
+of conda.
+
 ```
-pip install plotly==3.1.1
-pip install "notebook>=5.3" "ipywidgets>=7.2"  # only necessary for Jupyter Notebook environments
+conda install "notebook>=5.3" "ipywidgets>=7.2"
 ```
 
-If you're using older versions of `notebook` or `ipywidgets` you may need to manually activate the widget extensions (this should not be needed for `notebook>=5.3` and `ipywidgets>=7.2`)
+### JupyterLab Support
+For use in JupyterLab, install the `jupyterlab` and `ipywidgets`
+packages using pip... 
 
 ```
-jupyter nbextension enable --py widgetsnbextension --sys-prefix
-jupyter nbextension enable --py plotlywidget --sys-prefix
+pip install jupyterlab==0.34 "ipywidgets>=7.2"
 ```
 
-In addition, to add JupyterLab support run the following commands
+of conda.
 
 ```
-pip install jupyterlab==0.33
+conda install jupyterlab=0.34 "ipywidgets>=7.2"
+```
 
+Then run the following commands to install the required JupyterLab extensions:
+```
 # 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
 
 # Jupyter widgets extension
-jupyter labextension install @jupyter-widgets/jupyterlab-manager@0.36 --no-build
+jupyter labextension install @jupyter-widgets/jupyterlab-manager@0.37 --no-build
 
 # FigureWidget support
-jupyter labextension install plotlywidget@0.2.1  --no-build
+jupyter labextension install plotlywidget@0.3.0  --no-build
 
 # offline iplot support
-jupyter labextension install @jupyterlab/plotly-extension@0.16  --no-build
+jupyter labextension install @jupyterlab/plotly-extension@0.17  --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=
+```
+
+### Static Image Export
+plotly.py supports static image export using the `to_image` and `write_image`
+functions in the `plotly.io` package. This functionality requires the
+installation of the plotly [orca](https://github.com/plotly/orca) command line utility and the
+[`psutil`](https://github.com/giampaolo/psutil) Python package.
+
+These dependencies can both be installed using conda:
 ```
+conda install -c plotly plotly-orca psutil
+```
+
+Or, `psutil` can be installed using pip...
+```
+pip install psutil
+```
+
+and orca can be installed according to the instructions in the [orca README](https://github.com/plotly/orca).
 
+## Migration
 If you're migrating from plotly.py version 2, please check out the [migration guide](migration-guide.md)
 
 ## Copyright and Licenses

_plotly_utils/basevalidators.py

@@ -96,7 +96,7 @@ def copy_to_readonly_numpy_array(v, dtype=None, force_numeric=False):
         if dtype:
             new_v = np.ascontiguousarray(v.astype(dtype))
         else:
-            new_v = np.ascontiguousarray(v)
+            new_v = np.ascontiguousarray(v.copy())
     else:
         new_v = v.copy()
 

codegen/utils.py

@@ -5,6 +5,7 @@
 from importlib import import_module
 from io import StringIO
 from typing import List
+import re
 
 from yapf.yapflib.yapf_api import FormatCode
 
@@ -132,6 +133,42 @@ def write_init_py(pkg_root, path_parts, import_pairs):
     format_and_write_source_py(init_source, filepath)
 
 
+def format_description(desc):
+
+    # Remove surrounding *s from numbers
+    desc = re.sub('(^|[\s(,.:])\*([\d.]+)\*([\s),.:]|$)', r'\1\2\3', desc)
+
+    # replace *true* with True
+    desc = desc.replace("*true*", "True")
+    desc = desc.replace("*false*", "False")
+
+    # Replace *word* with "word"
+    desc = re.sub('(^|[\s(,.:])\*(\S+)\*([\s),.:]|$)', r'\1"\2"\3', desc)
+
+    # Special case strings that don't satisfy regex above
+    other_strings = ['Courier New', 'Droid Sans', 'Droid Serif',
+                     'Droid Sans Mono', 'Gravitas One', 'Old Standard TT',
+                     'Open Sans', 'PT Sans Narrow', 'Times New Roman']
+
+    for s in other_strings:
+        desc = desc.replace("*%s*" % s, '"%s"' % s)
+
+    # Replace {array} with list
+    desc = desc.replace("an {array}", "a list")
+    desc = desc.replace("{array}", "list")
+
+    # Replace {arrays} with lists
+    desc = desc.replace("{arrays}", "lists")
+
+    # replace {2D array} with 2D list
+    desc = desc.replace("{2D array}", "2D list")
+
+    # replace {2D arrays} with 2D lists
+    desc = desc.replace("{2D arrays}", "2D lists")
+
+    return desc
+
+
 # Constants
 # =========
 # Mapping from full property paths to custom validator classes
@@ -412,7 +449,7 @@ def get_validator_params(self):
             params['data_docs'] = (
                     '\"\"\"' +
                     self.get_constructor_params_docstring() +
-                    '\"\"\"')
+                    '\n\"\"\"')
         else:
             assert self.is_simple
 
@@ -936,7 +973,7 @@ def description(self) -> str:
         if isinstance(desc, list):
             desc = ''.join(desc)
 
-        return desc
+        return format_description(desc)
 
 
 class LayoutNode(PlotlyNode):
@@ -986,7 +1023,7 @@ def description(self) -> str:
         desc = self.node_data.get('description', '')
         if isinstance(desc, list):
             desc = ''.join(desc)
-        return desc
+        return format_description(desc)
 
     # Raw data
     # --------
@@ -1036,7 +1073,7 @@ def description(self) -> str:
         desc = self.node_data.get('description', '')
         if isinstance(desc, list):
             desc = ''.join(desc)
-        return desc
+        return format_description(desc)
 
     # Raw data
     # --------

js/package.json

@@ -1,6 +1,6 @@
 {
   "name": "plotlywidget",
-  "version": "0.3.0-alpha.1",
+  "version": "0.3.0",
   "description": "The plotly.py ipywidgets library",
   "author": "The plotly.py team",
   "license": "MIT",