plotly v3.2.0

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plotly v3.2.0 Release Notes

• 🚀 This release introduces the long-anticipated ability to programmatically export figures as high quality static images in both raster and vector formats.

  JupyterLab Versions (Python 3.5+)

  📦 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

    • [email protected]
    • @jupyter-widgets/[email protected]
    • @jupyterlab/[email protected]

  ➕ 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, plotly/plotly.js#2914)
    • Add scatterpolar and scatterpolargl attributes r0, dr, theta0 and dtheta (plotly/plotly.js#2895)
    • Add layout attributes piecolorway and extendpiecolors for more control over pie colors (plotly/plotly.js#2870)
    • Add splom attribute dimensions[i].axis.type to easily override axis type in splom-generated axes (plotly/plotly.js#2899)
    • Add support for on-graph text in scatterpolargl traces (plotly/plotly.js#2895)
    • See the plotly.js CHANGELOG 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).
    • Note: Image export requires the plotly orca command line utility and the psutil Python package.
  • New documentation sections covering Static Image Export and Orca Management
  • Support for displaying FigureWidget instances in static contexts (e.g. nbviewer) just like the built-in ipywidgets (#1117)
  • Full integration of the Cividis colorscale (#883)
  • conda packaging
    • From here forward, new versions of plotly.py will be published to the plotly anaconda channel on the same day they are published to PyPI. (72ad0e4)
    • The [README](packages/python/plotly-geo/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 from the plotly anaconda channel.

  ⚡️ Updated

  • Show traces at the top of the Gantt chart's colorbar (#1110)
  • Significantly improved validation performance for numeric pandas Series objects (#1149)
  • Specialize auto-generated docstrings for Python syntax
  • More robust and specific logic for retrying requests to the plot.ly cloud service (#1146)
  • Support basic authentication when using the streaming API behind a proxy server (#1133)

  🛠 Fixed

  • Validators for dash properties (e.g. scatter.line.dash) incorrectly rejected dash length lists (#1136)
  • Annotated heatmap error when custom colorscale was specified (#1151)
  • Incorrect deprecation warning for deprecated plotly.graph_objs.Annotations class (#1138)
  • Harmless JavaScript console error when opening an html file produced by plotly.offline.plot (#1152)
  • Incorrect validation errors when writing data to the streaming API (#1145)

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