plotly 3.2.0

v3.2.0

on Python PyPI

[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,
    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 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)