##// END OF EJS Templates
define InlineBackend configurable in its own file...
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@@ -0,0 +1,85
1 """Configurable for configuring the IPython inline backend
2
3 This module does not import anything from matplotlib.
4 """
5 #-----------------------------------------------------------------------------
6 # Copyright (C) 2011 The IPython Development Team
7 #
8 # Distributed under the terms of the BSD License. The full license is in
9 # the file COPYING, distributed as part of this software.
10 #-----------------------------------------------------------------------------
11
12 #-----------------------------------------------------------------------------
13 # Imports
14 #-----------------------------------------------------------------------------
15
16 from IPython.config.configurable import SingletonConfigurable
17 from IPython.utils.traitlets import Dict, Instance, CaselessStrEnum, Bool
18 from IPython.utils.warn import warn
19
20 #-----------------------------------------------------------------------------
21 # Configurable for inline backend options
22 #-----------------------------------------------------------------------------
23
24 # inherit from InlineBackendConfig for deprecation purposes
25 class InlineBackendConfig(SingletonConfigurable):
26 pass
27
28 class InlineBackend(InlineBackendConfig):
29 """An object to store configuration of the inline backend."""
30
31 def _config_changed(self, name, old, new):
32 # warn on change of renamed config section
33 if new.InlineBackendConfig != old.InlineBackendConfig:
34 warn("InlineBackendConfig has been renamed to InlineBackend")
35 super(InlineBackend, self)._config_changed(name, old, new)
36
37 # The typical default figure size is too large for inline use,
38 # so we shrink the figure size to 6x4, and tweak fonts to
39 # make that fit.
40 rc = Dict({'figure.figsize': (6.0,4.0),
41 # play nicely with white background in the Qt and notebook frontend
42 'figure.facecolor': 'white',
43 'figure.edgecolor': 'white',
44 # 12pt labels get cutoff on 6x4 logplots, so use 10pt.
45 'font.size': 10,
46 # 72 dpi matches SVG/qtconsole
47 # this only affects PNG export, as SVG has no dpi setting
48 'savefig.dpi': 72,
49 # 10pt still needs a little more room on the xlabel:
50 'figure.subplot.bottom' : .125
51 }, config=True,
52 help="""Subset of matplotlib rcParams that should be different for the
53 inline backend."""
54 )
55
56 figure_format = CaselessStrEnum(['svg', 'png', 'retina'], default_value='png', config=True,
57 help="The image format for figures with the inline backend.")
58
59 def _figure_format_changed(self, name, old, new):
60 from IPython.core.pylabtools import select_figure_format
61 if self.shell is None:
62 return
63 else:
64 select_figure_format(self.shell, new)
65
66 close_figures = Bool(True, config=True,
67 help="""Close all figures at the end of each cell.
68
69 When True, ensures that each cell starts with no active figures, but it
70 also means that one must keep track of references in order to edit or
71 redraw figures in subsequent cells. This mode is ideal for the notebook,
72 where residual plots from other cells might be surprising.
73
74 When False, one must call figure() to create new figures. This means
75 that gcf() and getfigs() can reference figures created in other cells,
76 and the active figure can continue to be edited with pylab/pyplot
77 methods that reference the current active figure. This mode facilitates
78 iterative editing of figures, and behaves most consistently with
79 other matplotlib backends, but figure barriers between cells must
80 be explicit.
81 """)
82
83 shell = Instance('IPython.core.interactiveshell.InteractiveShellABC')
84
85
@@ -45,6 +45,7 from IPython.kernel.zmq.kernelapp import (
45 45 kernel_aliases,
46 46 IPKernelApp
47 47 )
48 from IPython.kernel.zmq.pylab.config import InlineBackend
48 49 from IPython.kernel.zmq.session import Session, default_secure
49 50 from IPython.kernel.zmq.zmqshell import ZMQInteractiveShell
50 51 from IPython.kernel.connect import ConnectionFileMixin
@@ -110,14 +111,7 aliases.update(app_aliases)
110 111 # IPythonConsole
111 112 #-----------------------------------------------------------------------------
112 113
113 classes = [IPKernelApp, ZMQInteractiveShell, KernelManager, ProfileDir, Session]
114
115 try:
116 from IPython.kernel.zmq.pylab.backend_inline import InlineBackend
117 except ImportError:
118 pass
119 else:
120 classes.append(InlineBackend)
114 classes = [IPKernelApp, ZMQInteractiveShell, KernelManager, ProfileDir, Session, InlineBackend]
121 115
122 116 class IPythonConsoleApp(ConnectionFileMixin):
123 117 name = 'ipython-console-mixin'
@@ -1,5 +1,11
1 """Produce SVG versions of active plots for display by the rich Qt frontend.
2 """
1 """A matplotlib backend for publishing figures via display_data"""
2 #-----------------------------------------------------------------------------
3 # Copyright (C) 2011 The IPython Development Team
4 #
5 # Distributed under the terms of the BSD License. The full license is in
6 # the file COPYING, distributed as part of this software.
7 #-----------------------------------------------------------------------------
8
3 9 #-----------------------------------------------------------------------------
4 10 # Imports
5 11 #-----------------------------------------------------------------------------
@@ -7,80 +13,14 from __future__ import print_function
7 13
8 14 # Third-party imports
9 15 import matplotlib
10 from matplotlib.backends.backend_agg import new_figure_manager, FigureCanvasAgg
16 from matplotlib.backends.backend_agg import FigureCanvasAgg
11 17 from matplotlib._pylab_helpers import Gcf
12 18
13 # Local imports.
14 from IPython.config.configurable import SingletonConfigurable
19 # Local imports
20 from IPython.core.getipython import get_ipython
15 21 from IPython.core.display import display
16 from IPython.core.displaypub import publish_display_data
17 from IPython.core.pylabtools import print_figure, select_figure_format
18 from IPython.utils.traitlets import Dict, Instance, CaselessStrEnum, Bool
19 from IPython.utils.warn import warn
20
21 #-----------------------------------------------------------------------------
22 # Configurable for inline backend options
23 #-----------------------------------------------------------------------------
24 # inherit from InlineBackendConfig for deprecation purposes
25 class InlineBackendConfig(SingletonConfigurable):
26 pass
27
28 class InlineBackend(InlineBackendConfig):
29 """An object to store configuration of the inline backend."""
30
31 def _config_changed(self, name, old, new):
32 # warn on change of renamed config section
33 if new.InlineBackendConfig != old.InlineBackendConfig:
34 warn("InlineBackendConfig has been renamed to InlineBackend")
35 super(InlineBackend, self)._config_changed(name, old, new)
36
37 # The typical default figure size is too large for inline use,
38 # so we shrink the figure size to 6x4, and tweak fonts to
39 # make that fit.
40 rc = Dict({'figure.figsize': (6.0,4.0),
41 # play nicely with white background in the Qt and notebook frontend
42 'figure.facecolor': 'white',
43 'figure.edgecolor': 'white',
44 # 12pt labels get cutoff on 6x4 logplots, so use 10pt.
45 'font.size': 10,
46 # 72 dpi matches SVG/qtconsole
47 # this only affects PNG export, as SVG has no dpi setting
48 'savefig.dpi': 72,
49 # 10pt still needs a little more room on the xlabel:
50 'figure.subplot.bottom' : .125
51 }, config=True,
52 help="""Subset of matplotlib rcParams that should be different for the
53 inline backend."""
54 )
55
56 figure_format = CaselessStrEnum(['svg', 'png', 'retina'], default_value='png', config=True,
57 help="The image format for figures with the inline backend.")
58
59 def _figure_format_changed(self, name, old, new):
60 if self.shell is None:
61 return
62 else:
63 select_figure_format(self.shell, new)
64
65 close_figures = Bool(True, config=True,
66 help="""Close all figures at the end of each cell.
67
68 When True, ensures that each cell starts with no active figures, but it
69 also means that one must keep track of references in order to edit or
70 redraw figures in subsequent cells. This mode is ideal for the notebook,
71 where residual plots from other cells might be surprising.
72
73 When False, one must call figure() to create new figures. This means
74 that gcf() and getfigs() can reference figures created in other cells,
75 and the active figure can continue to be edited with pylab/pyplot
76 methods that reference the current active figure. This mode facilitates
77 iterative editing of figures, and behaves most consistently with
78 other matplotlib backends, but figure barriers between cells must
79 be explicit.
80 """)
81
82 shell = Instance('IPython.core.interactiveshell.InteractiveShellABC')
83 22
23 from .config import InlineBackend
84 24
85 25 #-----------------------------------------------------------------------------
86 26 # Functions
@@ -107,7 +47,6 def show(close=None):
107 47 matplotlib.pyplot.close('all')
108 48
109 49
110
111 50 # This flag will be reset by draw_if_interactive when called
112 51 show._draw_called = False
113 52 # list of figures to draw when flush_figures is called
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