You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
101 lines
3.8 KiB
Python
101 lines
3.8 KiB
Python
"""Configurable for configuring the IPython inline backend
|
|
|
|
This module does not import anything from matplotlib.
|
|
"""
|
|
|
|
# Copyright (c) IPython Development Team.
|
|
# Distributed under the terms of the BSD 3-Clause License.
|
|
|
|
from traitlets.config.configurable import SingletonConfigurable
|
|
from traitlets import (
|
|
Dict, Instance, Set, Bool, TraitError, Unicode
|
|
)
|
|
|
|
|
|
# Configurable for inline backend options
|
|
def pil_available():
|
|
"""Test if PIL/Pillow is available"""
|
|
out = False
|
|
try:
|
|
from PIL import Image # noqa
|
|
out = True
|
|
except ImportError:
|
|
pass
|
|
return out
|
|
|
|
|
|
# Inherit from InlineBackendConfig for deprecation purposes
|
|
class InlineBackendConfig(SingletonConfigurable):
|
|
pass
|
|
|
|
|
|
class InlineBackend(InlineBackendConfig):
|
|
"""An object to store configuration of the inline backend."""
|
|
|
|
# While we are deprecating overriding matplotlib defaults out of the
|
|
# box, this structure should remain here (empty) for API compatibility
|
|
# and the use of other tools that may need it. Specifically Spyder takes
|
|
# advantage of it.
|
|
# See https://github.com/ipython/ipython/issues/10383 for details.
|
|
rc = Dict(
|
|
{},
|
|
help="""Dict to manage matplotlib configuration defaults in the inline
|
|
backend. As of v0.1.4 IPython/Jupyter do not override defaults out of
|
|
the box, but third-party tools may use it to manage rc data. To change
|
|
personal defaults for matplotlib, use matplotlib's configuration
|
|
tools, or customize this class in your `ipython_config.py` file for
|
|
IPython/Jupyter-specific usage.""").tag(config=True)
|
|
|
|
figure_formats = Set(
|
|
{'png'},
|
|
help="""A set of figure formats to enable: 'png',
|
|
'retina', 'jpeg', 'svg', 'pdf'.""").tag(config=True)
|
|
|
|
def _update_figure_formatters(self):
|
|
if self.shell is not None:
|
|
from IPython.core.pylabtools import select_figure_formats
|
|
select_figure_formats(self.shell, self.figure_formats, **self.print_figure_kwargs)
|
|
|
|
def _figure_formats_changed(self, name, old, new):
|
|
if 'jpg' in new or 'jpeg' in new:
|
|
if not pil_available():
|
|
raise TraitError("Requires PIL/Pillow for JPG figures")
|
|
self._update_figure_formatters()
|
|
|
|
figure_format = Unicode(help="""The figure format to enable (deprecated
|
|
use `figure_formats` instead)""").tag(config=True)
|
|
|
|
def _figure_format_changed(self, name, old, new):
|
|
if new:
|
|
self.figure_formats = {new}
|
|
|
|
print_figure_kwargs = Dict(
|
|
{'bbox_inches': 'tight'},
|
|
help="""Extra kwargs to be passed to fig.canvas.print_figure.
|
|
|
|
Logical examples include: bbox_inches, quality (for jpeg figures), etc.
|
|
"""
|
|
).tag(config=True)
|
|
_print_figure_kwargs_changed = _update_figure_formatters
|
|
|
|
close_figures = Bool(
|
|
True,
|
|
help="""Close all figures at the end of each cell.
|
|
|
|
When True, ensures that each cell starts with no active figures, but it
|
|
also means that one must keep track of references in order to edit or
|
|
redraw figures in subsequent cells. This mode is ideal for the notebook,
|
|
where residual plots from other cells might be surprising.
|
|
|
|
When False, one must call figure() to create new figures. This means
|
|
that gcf() and getfigs() can reference figures created in other cells,
|
|
and the active figure can continue to be edited with pylab/pyplot
|
|
methods that reference the current active figure. This mode facilitates
|
|
iterative editing of figures, and behaves most consistently with
|
|
other matplotlib backends, but figure barriers between cells must
|
|
be explicit.
|
|
""").tag(config=True)
|
|
|
|
shell = Instance('IPython.core.interactiveshell.InteractiveShellABC',
|
|
allow_none=True)
|