|
|
# -*- coding: utf-8 -*-
|
|
|
"""Pylab (matplotlib) support utilities."""
|
|
|
|
|
|
# Copyright (c) IPython Development Team.
|
|
|
# Distributed under the terms of the Modified BSD License.
|
|
|
|
|
|
from io import BytesIO
|
|
|
from binascii import b2a_base64
|
|
|
from functools import partial
|
|
|
import warnings
|
|
|
|
|
|
from IPython.core.display import _pngxy
|
|
|
from IPython.utils.decorators import flag_calls
|
|
|
|
|
|
# If user specifies a GUI, that dictates the backend, otherwise we read the
|
|
|
# user's mpl default from the mpl rc structure
|
|
|
backends = {
|
|
|
"tk": "TkAgg",
|
|
|
"gtk": "GTKAgg",
|
|
|
"gtk3": "GTK3Agg",
|
|
|
"gtk4": "GTK4Agg",
|
|
|
"wx": "WXAgg",
|
|
|
"qt4": "Qt4Agg",
|
|
|
"qt5": "Qt5Agg",
|
|
|
"qt6": "QtAgg",
|
|
|
"qt": "Qt5Agg",
|
|
|
"osx": "MacOSX",
|
|
|
"nbagg": "nbAgg",
|
|
|
"notebook": "nbAgg",
|
|
|
"agg": "agg",
|
|
|
"svg": "svg",
|
|
|
"pdf": "pdf",
|
|
|
"ps": "ps",
|
|
|
"inline": "module://matplotlib_inline.backend_inline",
|
|
|
"ipympl": "module://ipympl.backend_nbagg",
|
|
|
"widget": "module://ipympl.backend_nbagg",
|
|
|
}
|
|
|
|
|
|
# We also need a reverse backends2guis mapping that will properly choose which
|
|
|
# GUI support to activate based on the desired matplotlib backend. For the
|
|
|
# most part it's just a reverse of the above dict, but we also need to add a
|
|
|
# few others that map to the same GUI manually:
|
|
|
backend2gui = dict(zip(backends.values(), backends.keys()))
|
|
|
# In the reverse mapping, there are a few extra valid matplotlib backends that
|
|
|
# map to the same GUI support
|
|
|
backend2gui["GTK"] = backend2gui["GTKCairo"] = "gtk"
|
|
|
backend2gui["GTK3Cairo"] = "gtk3"
|
|
|
backend2gui["GTK4Cairo"] = "gtk4"
|
|
|
backend2gui["WX"] = "wx"
|
|
|
backend2gui["CocoaAgg"] = "osx"
|
|
|
# There needs to be a hysteresis here as the new QtAgg Matplotlib backend
|
|
|
# supports either Qt5 or Qt6 and the IPython qt event loop support Qt4, Qt5,
|
|
|
# and Qt6.
|
|
|
backend2gui["QtAgg"] = "qt"
|
|
|
backend2gui["Qt4Agg"] = "qt"
|
|
|
backend2gui["Qt5Agg"] = "qt"
|
|
|
|
|
|
# And some backends that don't need GUI integration
|
|
|
del backend2gui["nbAgg"]
|
|
|
del backend2gui["agg"]
|
|
|
del backend2gui["svg"]
|
|
|
del backend2gui["pdf"]
|
|
|
del backend2gui["ps"]
|
|
|
del backend2gui["module://matplotlib_inline.backend_inline"]
|
|
|
del backend2gui["module://ipympl.backend_nbagg"]
|
|
|
|
|
|
#-----------------------------------------------------------------------------
|
|
|
# Matplotlib utilities
|
|
|
#-----------------------------------------------------------------------------
|
|
|
|
|
|
|
|
|
def getfigs(*fig_nums):
|
|
|
"""Get a list of matplotlib figures by figure numbers.
|
|
|
|
|
|
If no arguments are given, all available figures are returned. If the
|
|
|
argument list contains references to invalid figures, a warning is printed
|
|
|
but the function continues pasting further figures.
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
figs : tuple
|
|
|
A tuple of ints giving the figure numbers of the figures to return.
|
|
|
"""
|
|
|
from matplotlib._pylab_helpers import Gcf
|
|
|
if not fig_nums:
|
|
|
fig_managers = Gcf.get_all_fig_managers()
|
|
|
return [fm.canvas.figure for fm in fig_managers]
|
|
|
else:
|
|
|
figs = []
|
|
|
for num in fig_nums:
|
|
|
f = Gcf.figs.get(num)
|
|
|
if f is None:
|
|
|
print('Warning: figure %s not available.' % num)
|
|
|
else:
|
|
|
figs.append(f.canvas.figure)
|
|
|
return figs
|
|
|
|
|
|
|
|
|
def figsize(sizex, sizey):
|
|
|
"""Set the default figure size to be [sizex, sizey].
|
|
|
|
|
|
This is just an easy to remember, convenience wrapper that sets::
|
|
|
|
|
|
matplotlib.rcParams['figure.figsize'] = [sizex, sizey]
|
|
|
"""
|
|
|
import matplotlib
|
|
|
matplotlib.rcParams['figure.figsize'] = [sizex, sizey]
|
|
|
|
|
|
|
|
|
def print_figure(fig, fmt="png", bbox_inches="tight", base64=False, **kwargs):
|
|
|
"""Print a figure to an image, and return the resulting file data
|
|
|
|
|
|
Returned data will be bytes unless ``fmt='svg'``,
|
|
|
in which case it will be unicode.
|
|
|
|
|
|
Any keyword args are passed to fig.canvas.print_figure,
|
|
|
such as ``quality`` or ``bbox_inches``.
|
|
|
|
|
|
If `base64` is True, return base64-encoded str instead of raw bytes
|
|
|
for binary-encoded image formats
|
|
|
|
|
|
.. versionadded: 7.29
|
|
|
base64 argument
|
|
|
"""
|
|
|
# When there's an empty figure, we shouldn't return anything, otherwise we
|
|
|
# get big blank areas in the qt console.
|
|
|
if not fig.axes and not fig.lines:
|
|
|
return
|
|
|
|
|
|
dpi = fig.dpi
|
|
|
if fmt == 'retina':
|
|
|
dpi = dpi * 2
|
|
|
fmt = 'png'
|
|
|
|
|
|
# build keyword args
|
|
|
kw = {
|
|
|
"format":fmt,
|
|
|
"facecolor":fig.get_facecolor(),
|
|
|
"edgecolor":fig.get_edgecolor(),
|
|
|
"dpi":dpi,
|
|
|
"bbox_inches":bbox_inches,
|
|
|
}
|
|
|
# **kwargs get higher priority
|
|
|
kw.update(kwargs)
|
|
|
|
|
|
bytes_io = BytesIO()
|
|
|
if fig.canvas is None:
|
|
|
from matplotlib.backend_bases import FigureCanvasBase
|
|
|
FigureCanvasBase(fig)
|
|
|
|
|
|
fig.canvas.print_figure(bytes_io, **kw)
|
|
|
data = bytes_io.getvalue()
|
|
|
if fmt == 'svg':
|
|
|
data = data.decode('utf-8')
|
|
|
elif base64:
|
|
|
data = b2a_base64(data).decode("ascii")
|
|
|
return data
|
|
|
|
|
|
def retina_figure(fig, base64=False, **kwargs):
|
|
|
"""format a figure as a pixel-doubled (retina) PNG
|
|
|
|
|
|
If `base64` is True, return base64-encoded str instead of raw bytes
|
|
|
for binary-encoded image formats
|
|
|
|
|
|
.. versionadded: 7.29
|
|
|
base64 argument
|
|
|
"""
|
|
|
pngdata = print_figure(fig, fmt="retina", base64=False, **kwargs)
|
|
|
# Make sure that retina_figure acts just like print_figure and returns
|
|
|
# None when the figure is empty.
|
|
|
if pngdata is None:
|
|
|
return
|
|
|
w, h = _pngxy(pngdata)
|
|
|
metadata = {"width": w//2, "height":h//2}
|
|
|
if base64:
|
|
|
pngdata = b2a_base64(pngdata).decode("ascii")
|
|
|
return pngdata, metadata
|
|
|
|
|
|
|
|
|
# We need a little factory function here to create the closure where
|
|
|
# safe_execfile can live.
|
|
|
def mpl_runner(safe_execfile):
|
|
|
"""Factory to return a matplotlib-enabled runner for %run.
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
safe_execfile : function
|
|
|
This must be a function with the same interface as the
|
|
|
:meth:`safe_execfile` method of IPython.
|
|
|
|
|
|
Returns
|
|
|
-------
|
|
|
A function suitable for use as the ``runner`` argument of the %run magic
|
|
|
function.
|
|
|
"""
|
|
|
|
|
|
def mpl_execfile(fname,*where,**kw):
|
|
|
"""matplotlib-aware wrapper around safe_execfile.
|
|
|
|
|
|
Its interface is identical to that of the :func:`execfile` builtin.
|
|
|
|
|
|
This is ultimately a call to execfile(), but wrapped in safeties to
|
|
|
properly handle interactive rendering."""
|
|
|
|
|
|
import matplotlib
|
|
|
import matplotlib.pyplot as plt
|
|
|
|
|
|
#print '*** Matplotlib runner ***' # dbg
|
|
|
# turn off rendering until end of script
|
|
|
is_interactive = matplotlib.rcParams['interactive']
|
|
|
matplotlib.interactive(False)
|
|
|
safe_execfile(fname,*where,**kw)
|
|
|
matplotlib.interactive(is_interactive)
|
|
|
# make rendering call now, if the user tried to do it
|
|
|
if plt.draw_if_interactive.called:
|
|
|
plt.draw()
|
|
|
plt.draw_if_interactive.called = False
|
|
|
|
|
|
# re-draw everything that is stale
|
|
|
try:
|
|
|
da = plt.draw_all
|
|
|
except AttributeError:
|
|
|
pass
|
|
|
else:
|
|
|
da()
|
|
|
|
|
|
return mpl_execfile
|
|
|
|
|
|
|
|
|
def _reshow_nbagg_figure(fig):
|
|
|
"""reshow an nbagg figure"""
|
|
|
try:
|
|
|
reshow = fig.canvas.manager.reshow
|
|
|
except AttributeError as e:
|
|
|
raise NotImplementedError() from e
|
|
|
else:
|
|
|
reshow()
|
|
|
|
|
|
|
|
|
def select_figure_formats(shell, formats, **kwargs):
|
|
|
"""Select figure formats for the inline backend.
|
|
|
|
|
|
Parameters
|
|
|
==========
|
|
|
shell : InteractiveShell
|
|
|
The main IPython instance.
|
|
|
formats : str or set
|
|
|
One or a set of figure formats to enable: 'png', 'retina', 'jpeg', 'svg', 'pdf'.
|
|
|
**kwargs : any
|
|
|
Extra keyword arguments to be passed to fig.canvas.print_figure.
|
|
|
"""
|
|
|
import matplotlib
|
|
|
from matplotlib.figure import Figure
|
|
|
|
|
|
svg_formatter = shell.display_formatter.formatters['image/svg+xml']
|
|
|
png_formatter = shell.display_formatter.formatters['image/png']
|
|
|
jpg_formatter = shell.display_formatter.formatters['image/jpeg']
|
|
|
pdf_formatter = shell.display_formatter.formatters['application/pdf']
|
|
|
|
|
|
if isinstance(formats, str):
|
|
|
formats = {formats}
|
|
|
# cast in case of list / tuple
|
|
|
formats = set(formats)
|
|
|
|
|
|
[ f.pop(Figure, None) for f in shell.display_formatter.formatters.values() ]
|
|
|
mplbackend = matplotlib.get_backend().lower()
|
|
|
if mplbackend == 'nbagg' or mplbackend == 'module://ipympl.backend_nbagg':
|
|
|
formatter = shell.display_formatter.ipython_display_formatter
|
|
|
formatter.for_type(Figure, _reshow_nbagg_figure)
|
|
|
|
|
|
supported = {'png', 'png2x', 'retina', 'jpg', 'jpeg', 'svg', 'pdf'}
|
|
|
bad = formats.difference(supported)
|
|
|
if bad:
|
|
|
bs = "%s" % ','.join([repr(f) for f in bad])
|
|
|
gs = "%s" % ','.join([repr(f) for f in supported])
|
|
|
raise ValueError("supported formats are: %s not %s" % (gs, bs))
|
|
|
|
|
|
if "png" in formats:
|
|
|
png_formatter.for_type(
|
|
|
Figure, partial(print_figure, fmt="png", base64=True, **kwargs)
|
|
|
)
|
|
|
if "retina" in formats or "png2x" in formats:
|
|
|
png_formatter.for_type(Figure, partial(retina_figure, base64=True, **kwargs))
|
|
|
if "jpg" in formats or "jpeg" in formats:
|
|
|
jpg_formatter.for_type(
|
|
|
Figure, partial(print_figure, fmt="jpg", base64=True, **kwargs)
|
|
|
)
|
|
|
if "svg" in formats:
|
|
|
svg_formatter.for_type(Figure, partial(print_figure, fmt="svg", **kwargs))
|
|
|
if "pdf" in formats:
|
|
|
pdf_formatter.for_type(
|
|
|
Figure, partial(print_figure, fmt="pdf", base64=True, **kwargs)
|
|
|
)
|
|
|
|
|
|
#-----------------------------------------------------------------------------
|
|
|
# Code for initializing matplotlib and importing pylab
|
|
|
#-----------------------------------------------------------------------------
|
|
|
|
|
|
|
|
|
def find_gui_and_backend(gui=None, gui_select=None):
|
|
|
"""Given a gui string return the gui and mpl backend.
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
gui : str
|
|
|
Can be one of ('tk','gtk','wx','qt','qt4','inline','agg').
|
|
|
gui_select : str
|
|
|
Can be one of ('tk','gtk','wx','qt','qt4','inline').
|
|
|
This is any gui already selected by the shell.
|
|
|
|
|
|
Returns
|
|
|
-------
|
|
|
A tuple of (gui, backend) where backend is one of ('TkAgg','GTKAgg',
|
|
|
'WXAgg','Qt4Agg','module://matplotlib_inline.backend_inline','agg').
|
|
|
"""
|
|
|
|
|
|
import matplotlib
|
|
|
|
|
|
if gui and gui != 'auto':
|
|
|
# select backend based on requested gui
|
|
|
backend = backends[gui]
|
|
|
if gui == 'agg':
|
|
|
gui = None
|
|
|
else:
|
|
|
# We need to read the backend from the original data structure, *not*
|
|
|
# from mpl.rcParams, since a prior invocation of %matplotlib may have
|
|
|
# overwritten that.
|
|
|
# WARNING: this assumes matplotlib 1.1 or newer!!
|
|
|
backend = matplotlib.rcParamsOrig['backend']
|
|
|
# In this case, we need to find what the appropriate gui selection call
|
|
|
# should be for IPython, so we can activate inputhook accordingly
|
|
|
gui = backend2gui.get(backend, None)
|
|
|
|
|
|
# If we have already had a gui active, we need it and inline are the
|
|
|
# ones allowed.
|
|
|
if gui_select and gui != gui_select:
|
|
|
gui = gui_select
|
|
|
backend = backends[gui]
|
|
|
|
|
|
return gui, backend
|
|
|
|
|
|
|
|
|
def activate_matplotlib(backend):
|
|
|
"""Activate the given backend and set interactive to True."""
|
|
|
|
|
|
import matplotlib
|
|
|
matplotlib.interactive(True)
|
|
|
|
|
|
# Matplotlib had a bug where even switch_backend could not force
|
|
|
# the rcParam to update. This needs to be set *before* the module
|
|
|
# magic of switch_backend().
|
|
|
matplotlib.rcParams['backend'] = backend
|
|
|
|
|
|
# Due to circular imports, pyplot may be only partially initialised
|
|
|
# when this function runs.
|
|
|
# So avoid needing matplotlib attribute-lookup to access pyplot.
|
|
|
from matplotlib import pyplot as plt
|
|
|
|
|
|
plt.switch_backend(backend)
|
|
|
|
|
|
plt.show._needmain = False
|
|
|
# We need to detect at runtime whether show() is called by the user.
|
|
|
# For this, we wrap it into a decorator which adds a 'called' flag.
|
|
|
plt.draw_if_interactive = flag_calls(plt.draw_if_interactive)
|
|
|
|
|
|
|
|
|
def import_pylab(user_ns, import_all=True):
|
|
|
"""Populate the namespace with pylab-related values.
|
|
|
|
|
|
Imports matplotlib, pylab, numpy, and everything from pylab and numpy.
|
|
|
|
|
|
Also imports a few names from IPython (figsize, display, getfigs)
|
|
|
|
|
|
"""
|
|
|
|
|
|
# Import numpy as np/pyplot as plt are conventions we're trying to
|
|
|
# somewhat standardize on. Making them available to users by default
|
|
|
# will greatly help this.
|
|
|
s = ("import numpy\n"
|
|
|
"import matplotlib\n"
|
|
|
"from matplotlib import pylab, mlab, pyplot\n"
|
|
|
"np = numpy\n"
|
|
|
"plt = pyplot\n"
|
|
|
)
|
|
|
exec(s, user_ns)
|
|
|
|
|
|
if import_all:
|
|
|
s = ("from matplotlib.pylab import *\n"
|
|
|
"from numpy import *\n")
|
|
|
exec(s, user_ns)
|
|
|
|
|
|
# IPython symbols to add
|
|
|
user_ns['figsize'] = figsize
|
|
|
from IPython.display import display
|
|
|
# Add display and getfigs to the user's namespace
|
|
|
user_ns['display'] = display
|
|
|
user_ns['getfigs'] = getfigs
|
|
|
|
|
|
|
|
|
def configure_inline_support(shell, backend):
|
|
|
"""
|
|
|
.. deprecated: 7.23
|
|
|
|
|
|
use `matplotlib_inline.backend_inline.configure_inline_support()`
|
|
|
|
|
|
Configure an IPython shell object for matplotlib use.
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
shell : InteractiveShell instance
|
|
|
|
|
|
backend : matplotlib backend
|
|
|
"""
|
|
|
warnings.warn(
|
|
|
"`configure_inline_support` is deprecated since IPython 7.23, directly "
|
|
|
"use `matplotlib_inline.backend_inline.configure_inline_support()`",
|
|
|
DeprecationWarning,
|
|
|
stacklevel=2,
|
|
|
)
|
|
|
|
|
|
from matplotlib_inline.backend_inline import (
|
|
|
configure_inline_support as configure_inline_support_orig,
|
|
|
)
|
|
|
|
|
|
configure_inline_support_orig(shell, backend)
|
|
|
|
