Pysurfer

Latest version: v0.11.2

Safety actively analyzes 685838 Python packages for vulnerabilities to keep your Python projects secure.

Scan your dependencies

Page 1 of 2

0.11.0

--------------

- Minimum Python version increased to 3.6
- Add support to turn off full-screen antialiasing, which can be problematic on
some drivers (e.g., MESA software rendering on Linux)
- Simplification and refactoring of vector-valued data plotting
- Removal of unnecessary ``info`` log messages about smoothing matrix and
colormap generation (changed to ``debug`` level)
- Clean up of exit functions like ``__del__`` to avoid segfaults

0.10.0

--------------

- Added an option to smooth to nearest vertex in :meth:`Brain.add_data` using
``smoothing_steps='nearest'``
- Added options for using offscreen mode
- Improved integration with Jupyter notebook
- Avoided view changes when using :meth:`Brain.add_foci`

0.9

-----------

- Fixed transparency issues with colormaps with
:meth:`Brain.scale_data_colormap`
- Added an example of using custom colors
- Added options for choosing units for :class:`Brain` (``m`` or ``mm``)

0.8

-----------

- The surface geometry that is displayed can now be changed after initializing
a ``Brain`` instance with e.g. ``brain.set_surf("smoothwm")``.
- Allowed PySurfer to use custom matplotlib colormap objects or the names of
custom colormaps that have been registered with matplotlib.
- Added four new colormaps from ``seaborn``: ``rocket``, ``mako``, ``icefire``,
and ``vlag``.
- Terrain interaction is now possible via the ``interaction`` keyword argument.
- An API reference page is now available.
- Support is now provided for visualizing vector-valued (3 values per vertex)
data.

0.7

-----------

- Support for Python 3.3 and up.
- A new ``alpha`` keyword to the ``Brain`` constructor now controls
opacity of the rendered brain surface.
- The ``curv`` keyword to the ``Brain`` constructor has been
deprecated. To replicate previous behavior when ``curv`` was set to
``True`` simply omit the ``curv`` keyword. To replicate previous
behavior when ``curv`` was set to ``False``, simply set the
``cortex`` keyword to None. To ease transition the ``curv`` argument
will still be caught and processed, but it will be removed in a
future release.
- The ``cortex`` keyword to the ``Brain`` constructor now also accepts
a valid color specification (such as a 3-tuple with RGB values or a
color name) to render the cortical surface in that color without
rendering binary curvature values. Additionally it now also accepts
a dictionary with keyword arguments that are passed on to the call
to ``mlab.pipeline.surface``.
- ``Brain.save_movie`` now uses the ``imageio`` library, eliminating the need
to manually install ``ffmpeg``. ``imageio`` has been added as an optional
dependency which can be installed with
``$ pip install pysurfer[save_movie]``.
- ``Brain.save_image`` now has the option to save with alpha channel and
antialiasing.

0.6

-----------

- Values that were previously selected using a ``config_opts``
dictionary in the ``Brain`` constructor are now keyword arguments.
This should make it easier to use tab-completion in IPython, and will
generally simplify your scripts. To ease transition, a ``config_opts``
argument will still be caught, and its entries will be used (overriding
the keyword arguments), but it will be removed in a future release.
- The ability to set default values in a config file has been removed.
While convenient, this approach encourages code that is not fully
reproducible. While existing code that was written expecting a config
file will still run, the visualization will fall back to default values.
These should be updated directly in your plotting scripts.
- Figure size is now specified only through the ``size`` keyword argument
of :class:`Brain`. To make a rectangular window, pass a ``(width, height)``
tuple. Passing a single value to ``size`` will still make a square window.
- The ``cortex`` keyword argument can now be a mayavi colormap name or
a ``(colormap, min, max, reverse)`` tuple for full control.
- Morphometry plotting was made more flexible with the ability to pass
a specific colormap and anchor points for that colormap. Additionally,
the default anchor points now use robust statistics to give better
values.
- Contour overlay plotting was made more flexible by adding keyword arguments
to control whether a colorbar should be shown and whether existing contour
overlays should be removed before plotting.

Page 1 of 2

© 2024 Safety CLI Cybersecurity Inc. All Rights Reserved.