plotly 3.2.1

v3.2.1

on Python PyPI

[3.2.1] - 2018-09-14

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
  figure properties will result in an exception (this is identical to the
  previous behavior). When skip_invalid is set to True, invalid properties
  will instead be silently ignored. This argument replaces the _raise
  argument that was available in version 2, and makes it possible to import
  figure definitions from different plotly versions, where incompatible
  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
  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.

Fixed

• Pandas Series and Index objects storing datetime values were
  incorrectly cast to numeric arrays
  (plotly/plotly.py#1160,
  plotly/plotly.py#1163)
• Numpy arrays with uint64 datatype caused a FigureWidget error,
  and no figure was displayed
  (plotly/plotly.py#1155,
  plotly/plotly.py#1163)