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Update holoviews to 1.9.1 #120

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pyup-bot commented Nov 13, 2017

There's a new version of holoviews available.
You are currently using 1.8.4. I have updated it to 1.9.1

These links might come in handy: PyPI | Changelog | Homepage

Changelog

1.9.1

=============

This release is a minor bug fix release patching various issues
which were found in the 1.9.0 release.

Enhancements:

  • Exposed min_alpha parameter on datashader shade and datashade
    operations (\2109)

Fixes:

  • Fixed broken bokeh server linked stream throttling
    (\2112)
  • Fixed bug in bokeh callbacks preventing linked streams using
    bokeh's on_event callbacks from working
    (\2112)
  • Fixed insufficient validation issue for Image and bugs when
    applying regrid operation to xarray based Images
    (\2117)
  • Fixed handling of dimensions and empty elements in univariate_kde
    and bivariate_kde operations
    (\2103)

1.9.0

=============

This release includes a large number of long awaited features,
improvements and bug fixes, including streaming and graph support,
binary transfer of bokeh data, fast Image/RGB regridding, first-class
statistics elements and a complete overhaul of the geometry elements.

Particular thanks to all users and contributers who have reported
issues and submitted pull requests.

Features:

  • The kdim and vdim keyword arguments are now positional making the
    declaration of elements less verbose (e.g. Scatter(data, 'x',
    'y')) (\1946)
  • Added Graph, Nodes, and EdgePaths elements adding support for
    plotting network graphs
    (\1829)
  • Added datashader based regrid operation for fast Image and RGB
    regridding (\1773)
  • Added support for binary transport when plotting with bokeh,
    providing huge speedups for dynamic plots
    (\1894,
    \1896)
  • Added Pipe and Buffer streams for streaming data support
    (\2011)
  • Add support for datetime axes on Image, RGB and when applying
    datashading and regridding operations
    (\2023)
  • Added Distribution and Bivariate as first class elements which can
    be plotted with matplotlib and bokeh without depending on seaborn
    (\1985)
  • Completely overhauled support for plotting geometries with Path,
    Contours and Polygons elements including support for coloring
    individual segments and paths by value
    (\1991)

Enhancements:

  • Add support for adjoining all elements on matplotlib plots
    (\1033)
  • Improved exception handling for data interfaces
    (\2041)
  • Add groupby argument to histogram operation
    (\1725)
  • Add support for reverse sort on Dataset elements
    (\1843)
  • Added support for invert_x/yaxis on all elements
    (\1872,
    \1919)

Fixes:

  • Fixed a bug in matplotlib causing the first frame in gif and mp4
    getting stuck
    (\1922)
  • Fixed various issues with support for new nested categorical axes
    in bokeh (\1933)
  • A large range of other bug fixes too long to list here.

Changes affecting backwards compatibility:

  • The contours operation no longer overlays the contours on top of
    the supplied Image by default and returns a single
    Contours/Polygons rather than an NdOverlay of them
    (\1991)
  • The values of the Distribution element should now be defined as a
    key dimension
    (\1985)
  • The seaborn interface was removed in its entirety being replaced
    by first class support for statistics elements such as
    Distribution and Bivariate
    (\1985)
  • Since kdims and vdims can now be passed as positional arguments
    the bounds argument on Image is no longer positional
    (\1946).
  • The datashade and shade cmap was reverted back to blue due to issues
    with the fire cmap against a white background.
    (\2078)
  • Dropped all support for bokeh versions older than 0.12.10
  • histogram operation now returns Histogram elements with less
    generic value dimension and customizable label
    (\1836)

Got merge conflicts? Close this PR and delete the branch. I'll create a new PR for you.

Happy merging! 馃

@pyup-bot pyup-bot referenced this pull request Nov 13, 2017

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Update holoviews to 1.9.0 #104

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pyup-bot commented Dec 12, 2017

Closing this in favor of #139

@pyup-bot pyup-bot closed this Dec 12, 2017

@jsharpe jsharpe deleted the pyup-update-holoviews-1.8.4-to-1.9.1 branch Dec 12, 2017

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