[Matplotlib-announce] [ANN] Matplotlib 3.3.0

Hi all,

We are pleased to announce the release of 3.3.0.

Pre-built wheels are available for most major platforms, and can be
installed using `pip install matplotlib==3.3.0`. Other packages may also
be available already; please check with your preferred source.

The 3.3.0 release represents the work of 144 authors over 1066 pull
requests, and we thank them for their contributions.

Some highlights of this release include:

  * Provisional API for composing semantic axes layouts from text or
    nested lists
  * New Axes.sharex, Axes.sharey methods
  * Turbo colormap
  * colors.BoundaryNorm supports extend keyword argument
  * Text color for legend labels
  * Pcolor and Pcolormesh now accept shading='nearest' and 'auto'
  * Allow tick formatters to be set with str or function inputs
  * New Axes.axline method
  * Dates use a modern epoch
  * Improved font weight detection
  * Axes3D no longer distorts the 3D plot to match the 2D aspect ratio
  * More consistent toolbar behavior across backends
  * Toolbar icons are now styled for dark themes
  * Cursor text now uses a number of significant digits matching
    pointing precision
  * Functions to compute a Path's size
  * savefig() gained a backend keyword argument
  * Saving SVG now supports adding metadata
  * Saving PDF metadata via PGF now consistent with PDF backend
  * NbAgg and WebAgg no longer use jQuery & jQuery UI

For further details, please see the What's new in Matplotlib 3.3.0 page:
and the milestone on GitHub:

For packagers, this release contains some changes to dependencies:

  * Pillow is now required.
  * jQuery and jQuery-UI are no longer used, nor downloaded as part of
    the build.
  * Compiled extensions are built with LTO if the compiler supports it.

This release is signed by my GPG key. The fingerprint is:
23CA B59E 3332 F94D 26BE F037 8D86 E7FA E5EB 0C10
and it is also used to sign this message.