plotly 3.0.0 on Python PyPI

[3.0.0] - 2018-07-05

This is a major version with many exciting updates. See the Introducing plotly.py 3.0.0 post for more information.

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 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.

Please see the migration guid for a full list of the changes and deprecations in version 3.0.0