def __init__(self, dark):
self.figure = Figure(figsize=(0, 1000),
dpi=75,
facecolor='w',
edgecolor='k')
self.axes = self.figure.add_axes([0.12, 0.08, 0.75, 0.90])
self.figure.patch.set_alpha(0)
self.axes.margins(0, 0.05)
self.axes.ticklabel_format(useOffset=False)
self.axes.xaxis.set_major_locator(
MultipleLocatorWithMargin(600, 0, 0.03))
self.axes.xaxis.set_major_formatter(
ticker.FuncFormatter(lambda x, pos: "{}m".format(int(x / 60))))
if dark:
self.axes.patch.set_facecolor('black')
FigureCanvas.__init__(self, self.figure)
self.set_size_request(400, 300)
self.lines = {}
self.texts = {}
def __init__(self, timeline, binding):
figure = Figure()
FigureCanvas.__init__(self, figure)
Loggable.__init__(self)
self.__timeline = timeline
self.__source = binding.props.control_source
self.__source.connect("value-added", self.__controlSourceChangedCb)
self.__source.connect("value-removed", self.__controlSourceChangedCb)
self.__source.connect("value-changed", self.__controlSourceChangedCb)
self.__propertyName = binding.props.name
self.__paramspec = binding.pspec
self.get_style_context().add_class("KeyframeCurve")
self.__ylim_min, self.__ylim_max = KeyframeCurve.YLIM_OVERRIDES.get(
binding.pspec, (0.0, 1.0))
# Curve values, basically separating source.get_values() timestamps
# and values.
self.__line_xs = []
self.__line_ys = []
# axisbg to None for transparency
self.__ax = figure.add_axes([0, 0, 1, 1], axisbg='None')
# Clear the Axes object.
self.__ax.cla()
# FIXME: drawing a grid and ticks would be nice, but
# matplotlib is too slow for now.
self.__ax.grid(False)
self.__ax.tick_params(axis='both',
which='both',
bottom='off',
top='off',
right='off',
left='off')
# This seems to also be necessary for transparency ..
figure.patch.set_visible(False)
# The PathCollection object holding the keyframes dots.
sizes = [50]
self.__keyframes = self.__ax.scatter([], [],
marker='D',
s=sizes,
c=KEYFRAME_NODE_COLOR,
zorder=2)
# matplotlib weirdness, simply here to avoid a warning ..
self.__keyframes.set_picker(True)
# The Line2D object holding the lines between keyframes.
self.__line = self.__ax.plot([], [],
alpha=KEYFRAME_LINE_ALPHA,
c=KEYFRAME_LINE_COLOR,
linewidth=KEYFRAME_LINE_HEIGHT,
zorder=1)[0]
self.__updatePlots()
# Drag and drop logic
# Whether the clicked keyframe or line has been dragged.
self.__dragged = False
# The inpoint of the clicked keyframe.
self.__offset = None
# The (offset, value) of both keyframes of the clicked keyframe line.
self.__clicked_line = ()
# Whether the mouse events go to the keyframes logic.
self.handling_motion = False
self.__hovered = False
# Whether a keyframe has just been removed.
self.__keyframe_removed = False
self.connect("motion-notify-event", self.__gtkMotionEventCb)
self.connect("event", self._eventCb)
self.connect("notify::height-request", self.__heightRequestCb)
self.mpl_connect('button_press_event', self.__mplButtonPressEventCb)
self.mpl_connect('button_release_event',
self.__mplButtonReleaseEventCb)
self.mpl_connect('motion_notify_event', self.__mplMotionEventCb)
def __init__(self, timeline, binding):
figure = Figure()
FigureCanvas.__init__(self, figure)
Loggable.__init__(self)
self.__timeline = timeline
self.__source = binding.props.control_source
self.__source.connect("value-added", self.__controlSourceChangedCb)
self.__source.connect("value-removed", self.__controlSourceChangedCb)
self.__source.connect("value-changed", self.__controlSourceChangedCb)
self.__propertyName = binding.props.name
self.__resetTooltip()
self.get_style_context().add_class("KeyframeCurve")
self.__ylim_min, self.__ylim_max = KeyframeCurve.YLIM_OVERRIDES.get(
binding.pspec, (0.0, 1.0))
# Curve values, basically separating source.get_values() timestamps
# and values.
self.__line_xs = []
self.__line_ys = []
# axisbg to None for transparency
self.__ax = figure.add_axes([0, 0, 1, 1], axisbg='None')
self.__ax.cla()
# FIXME: drawing a grid and ticks would be nice, but
# matplotlib is too slow for now.
self.__ax.grid(False)
self.__ax.tick_params(axis='both',
which='both',
bottom='off',
top='off',
right='off',
left='off')
# This seems to also be necessary for transparency ..
figure.patch.set_visible(False)
# The actual Line2D object
self.__line = None
# The PathCollection as returned by scatter
sizes = [50]
self.__keyframes = self.__ax.scatter([], [], marker='D', s=sizes,
c=KEYFRAME_NODE_COLOR, zorder=2)
# matplotlib weirdness, simply here to avoid a warning ..
self.__keyframes.set_picker(True)
self.__line = self.__ax.plot([], [],
alpha=KEYFRAME_LINE_ALPHA,
c=KEYFRAME_LINE_COLOR,
linewidth=KEYFRAME_LINE_HEIGHT, zorder=1)[0]
self.__updatePlots()
# Drag and drop logic
self.__dragged = False
self.__offset = None
self.handling_motion = False
self.__hovered = False
self.connect("motion-notify-event", self.__gtkMotionEventCb)
self.connect("event", self._eventCb)
self.connect("notify::height-request", self.__heightRequestCb)
self.mpl_connect('button_press_event', self.__mplButtonPressEventCb)
self.mpl_connect('button_release_event', self.__mplButtonReleaseEventCb)
self.mpl_connect('motion_notify_event', self.__mplMotionEventCb)
def __init__(self, timeline, binding):
figure = Figure()
FigureCanvas.__init__(self, figure)
Loggable.__init__(self)
self.__timeline = timeline
self.__source = binding.props.control_source
self.__propertyName = binding.props.name
self.__resetTooltip()
# Curve values, basically separating source.get_values() timestamps
# and values.
self.__line_xs = []
self.__line_ys = []
# axisbg to None for transparency
self.__ax = figure.add_axes([0, 0, 1, 1], axisbg='None')
self.__ax.cla()
# FIXME: drawing a grid and ticks would be nice, but
# matplotlib is too slow for now.
self.__ax.grid(False)
self.__ax.tick_params(axis='both',
which='both',
bottom='off',
top='off',
right='off',
left='off')
# This seems to also be necessary for transparency ..
figure.patch.set_visible(False)
# The actual Line2D object
self.__line = None
# The PathCollection as returned by scatter
self.__keyframes = None
sizes = [50]
colors = ['r']
self.__keyframes = self.__ax.scatter([], [], marker='D', s=sizes,
c=colors, zorder=2)
# matplotlib weirdness, simply here to avoid a warning ..
self.__keyframes.set_picker(True)
self.__line = self.__ax.plot([], [],
linewidth=1.0, zorder=1)[0]
self.__updatePlots()
# Drag and drop logic
self.__dragged = False
self.__offset = None
self.handling_motion = False
self.__hovered = False
self.connect("motion-notify-event", self.__gtkMotionEventCb)
self.connect("event", self._eventCb)
self.mpl_connect('button_press_event', self.__mplButtonPressEventCb)
self.mpl_connect(
'button_release_event', self.__mplButtonReleaseEventCb)
self.mpl_connect('motion_notify_event', self.__mplMotionEventCb)
