def __init__(self,
data,
x,
y,
slice_idx,
cmap=P.cm.gray,
norm=None,
interpolation="bilinear",
extent=None):
self.norm = norm
self.cmap = cmap
self.interpolation = interpolation
self.slice_idx = slice_idx
# extent should be static, so set it and leave it alone
if not extent:
y, x = data.shape[-2:]
extent = [-x / 2., x / 2., -y / 2., y / 2.]
self.extent = extent
self.ylim = tuple(extent[2:])
self.xlim = tuple(extent[:2])
fig = P.Figure(figsize=P.figaspect(data), dpi=80)
ax = fig.add_subplot(111)
ax.yaxis.tick_right()
ax.title.set_y(1.05)
FigureCanvas.__init__(self, fig)
self.setData(data)
self._init_crosshairs(x, y)
def __init__(self,src,model,state):
self.src = src
self.model = model
self.__state = state
state.connect('selection-changed',self.update_spanner)
state.connect('selection-removed',self.remove_spanner)
xb = src.get_time_bounds()
yb = src.get_data_bounds()
figure = Figure(dpi=100)
self.plot = figure.add_subplot(111,xbound=xb,ybound=yb,autoscale_on=False)
self.plot.plot_date(src.get_time(True),src.get_data(True),'-')
if state.selection is None:
self.spanner = None
else:
vall,valr = state.selection
self.spanner = self.plot.axvspan(vall,valr,alpha=0.5)
self.ctx_spanners = dict()
FigureCanvas.__init__(self,figure)
self.mpl_connect('button_press_event',self.on_press)
self.mpl_connect('button_release_event',self.on_release)
self.mpl_connect('motion_notify_event',self.on_move)
model.connect('annotation-added',self.notice_annotation)
model.connect('annotation-removed',self.notice_annotation_removal)
model.connect('annotation-changed',self.notice_annotation_change)
for (id,color,boundl,boundr) in model.annotations():
self.notice_annotation(model,id,color,boundl,boundr)
def __init__(self,t_from,t_to): self.figure = Figure(figsize=(10,2), dpi=80) self.t_from = t_from self.t_to = t_to self.t_diff = math.fabs(t_from - t_to) self.axis = None FigureCanvas.__init__(self,self.figure)
def __init__(self, t_from, t_to):
self.figure = Figure(figsize=(10, 2), dpi=80)
self.t_from = t_from
self.t_to = t_to
self.t_diff = math.fabs(t_from - t_to)
self.axis = None
FigureCanvas.__init__(self, self.figure)
def __init__(self):
self._fig = Figure()
FigureCanvas.__init__(self, self._fig)
self._data = N.zeros((200, 320), dtype=N.uint8)
self._dims = self._data.shape
self._cmap = None
self._rotate = 0
self._hud = dict()
self._hud_text = self._fig.text(0.99, 0.99, '',
color='white',
verticalalignment='top', horizontalalignment='right')
self._overlays = dict()
# Draw the image
self._ax = self._fig.add_subplot(1, 1, 1)
self._image = self._ax.imshow(self._data, cmap=matplotlib.cm.gray)
self._ax.set_aspect('equal')
self._fig.tight_layout()
self.draw()
def __init__(self, data, x, y, slice_idx, cmap=P.cm.gray,
norm=None, interpolation="bilinear", extent=None):
self.norm = norm
self.cmap = cmap
self.interpolation=interpolation
self.slice_idx = slice_idx
# extent should be static, so set it and leave it alone
if not extent:
y,x = data.shape[-2:]
extent = [-x/2., x/2., -y/2., y/2.]
self.extent = extent
self.ylim = tuple(extent[2:])
self.xlim = tuple(extent[:2])
fig = P.Figure(figsize=P.figaspect(data), dpi=80)
ax = fig.add_subplot(111)
ax.yaxis.tick_right()
ax.title.set_y(1.05)
FigureCanvas.__init__(self, fig)
self.setData(data)
self._init_crosshairs(x, y)
def __init__(self): self.figure = Figure(figsize=(10,2), dpi=80) FigureCanvas.__init__(self)
def __init__(self):
self.figure = Figure(figsize=(10, 2), dpi=80)
FigureCanvas.__init__(self)
